eBook By Category (Artificial Intelligence)

This monograph is an essential reference for both academic and professional researchers working in the fields of computer vision, surveillance, HCI, image processing, and modeling

The human face provides important visual cues for human-human communication and human-computer interaction (HCI)

With the advances in new information techniques and media, 3D face processing techniques will help an intelligent HCI system interpret and deliver more natural multimedia information related to human faces

3D Model Recognition from Stereoscopic Cues provides a rich, integrated account of work done within a large-scale, multisite, Alvey-funded collaborative project in computer vision

It presents a variety of methods for deriving surface descriptions from stereoscopic data and for matching those descriptions to three-dimensional models for the purposes of object recognition, vision verification, autonomous vehicle guidance, and robot workstation guidance

State of the art vision systems are described in sufficient detail to allow researchers to replicate the results

This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence

The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006

The summit provided a venue for discussions on historical, business, political and educational perspectives of AI; scientific exchange on the state of the art; speculations about the future; contributions by researchers from different but related areas; presentations of the latest research by top scientists in the field; as well as many informal discussions among the participants and visitors

Everyday life would be easier if we could simply talk with machines instead of having to program them

Before such talking robots can be built, however, there must be a theory of how communicating with natural language works

This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out

This book takes a Lambda-calculus approach to organizing computations

It sets out with a brief introduction to Lambda-calculus, describes a variant of the classical secd-machine as a basic interpreter for the Lambda-calculus, and in the main part continues with strongly normalizing abstract Lambda-calculus machines, of which some are interpreting and some execute compiled code

The classical functional abstract machines are introduced as their weakly normalizing counterparts, and abstract machines for classical imperative languages are shown to derive from them by admitting side-effecting operations

The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation

In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling

A wide selection of contributions report applications of neural networks to process engineering, robotics and control

This book can be presented in two different ways; introducing a particular methodology to build adaptive Web sites and; presenting the main concepts behind Web mining and then applying them to adaptive Web sites

In this case, adaptive Web sites is the case study to exemplify the tools introduced in the text

The authors start by introducing the Web and motivating the need for adaptive Web sites

Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of technologies will be necessary to create an artificial intelligence is still an open question, so many scientists are experimenting with mixtures of such techniques

In Advances in Applied Artificial Intelligence these questions are implicitly addressed by scientists tackling specific problems which require intelligence in both individual and combinations of specific artificial intelligence techniques

Advances in Applied Artificial Intelligence includes extensive references within each chapter which an interested reader may wish to pursue

The topic of this book - the creation of software programs displaying broad, deep, human-style general intelligence - is a grand and ambitious one

And yet it is far from a frivolous one: what the papers in this publication illustrate is that it is a fit and proper subject for serious science and engineering exploration

No one has yet created a software program with human-style or (even roughly) human-level general intelligence - but we now have a sufficiently rich intellectual toolkit that it is possible to think about such a possibility in detail, and make serious attempts at design, analysis and engineering

This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004

The 97 revised full papers presented were carefully reviewed and selected from 304 submissions

The papers are organized in topical sections on distributed AI and multi-agent systems, knowledge engineering and case-based reasoning, planning and scheduling, machine learning and knowledge acquisition, natural language processing, knowledge representation and reasoning, knowledge discovery and data mining, robotics, computer vision, uncertainty and fuzzy systems, genetic algorithms and neural networks, AI in education, and miscellaneous topics

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i

e

neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security

This book constitutes the refereed proceedings of the international Tutorial and Research Workshop on Affective Dialogue Systems, ADS 2004, held in Kloster Irsee, Germany in June 2004

The 21 revised full papers and 14 revised short papers presented were carefully reviewed and selected for presentation

The papers are organized in topical sections on emotion recognition; affective user modeling; emotional databases, annotation schemes, and tools; affective conversational agents and dialogue systems; synthesis of emotional speech and facial animations; affective tutoring systems; evaluation of affective dialogue systems; and demonstrations

This book constitutes the refereed proceedings of the 17th Australian Conference on Artificial Intelligence, AI 2004, held in Cairns, Australia, in December 2004

The 78 revised full papers and 62 revised short papers presented were carefully reviewed and selected from 340 submissions

The papers are organized in topical sections on agents; biomedical applications; computer vision, image processing, and pattern recognition; ontologies, knowledge discovery and data mining; natural language and speech processing; problem solving and reasoning; robotics; and soft computing

This book constitutes the refereed proceedings of the 19th Australian Joint Conference on Artificial Intelligence, AI 2006, held in Hobart, Australia in December 2006

The 89 revised full papers and 70 revised short papers presented together with the extended abstracts of 4 invited speeches were carefully reviewed and selected from 689 submissions

The papers are organized in topical sections on foundations and knowledge based system, knowledge representation and reasoning, machine learning, connectionist AI, data mining, intelligent agents, cognition and user interface, vision and image processing, natural language processing and Web intelligence, neural networks, search and planning, robotics, and AI applications

Learn how to create more challenging and dynamic games with AI and Artificial Life in Video Games

AI, or artificial intelligence, builds better games by directing behaviors inside the games that make them more difficult, while artificial life, or A-Life, adds unpredictability of play and a more lifelike environment to games

This book examines easy and inexpensive methods for implementing AI and A-Life in any video game to not only model behavior in the game but also create tools, generate code, and test the game during development

The popularity of artificial intelligence continues to grow as more and more uses are found for the technology

AI Application Programming Second Edition is completely updated to supply both the conceptual background and the real-world examples needed to begin using AI in software projects

Each technology is illustrated with a model implementation and application, and complete source code for each example is provided on the companion CD-ROM

This book constitutes the refereed proceedings of the 15th International Conference on Algorithmic Learning Theory, ALT 2004, held in Padova, Italy in October 2004

The 29 revised full papers presented together with 5 invited papers and 3 tutorial summaries were carefully reviewed and selected from 91 submissions

The papers are organized in topical sections on inductive inference, PAC learning and boosting, statistical supervised learning, online sequence learning, approximate optimization algorithms, logic based learning, and query and reinforcement learning

This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006

The 24 revised full papers presented together with the abstracts of 5 invited papers were carefully reviewed and selected from 53 submissions

The papers are dedicated to the theoretical foundations of machine learning; they address topics such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, reinforcement learning, and statistical learning models

'This book gives an overview of methods developed in artificial intelligence for search, learning, problem solving and decision-making

It gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm, or when a well-defined architecture is known, e

g

`An outstanding introduction to a new and important field of computer science

` -- Tim Watson, The Computer Journal

`This is a useful introduction to the subject and is well worth reading as an entry into evolutionary computing

` -- Chris Robbins, Computing

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems

The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data

With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications

This book teaches the principles of natural language processing, first covering linguistics issues such as encoding, entropy, and annotation schemes; defining words, tokens and parts of speech; and morphology

Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components

We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception

In particular, this volume of collected works will give examples of its impact on the field of economics and finance

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence for Applied Research

The contributions to the seventh in the series of FLINS conferences contained in this volume cover state-of-the-art research and development in applied artificial intelligence for applied research in general and for power/nuclear engineering in particular

Over the past years, Public Key Infrastructure (PKI) technology has evolved and moved from the research laboratories to the mainstream, in which many organizations are now leveraging it as part of their core infrastructure system for providing and building security in their businesses

Understanding the challenges and requirements of PKI related operations through the sharing of case studies are critical to supporting the continued research and development of PKI technologies and related systems and applications to further progress and innovate for enhancing future development and evolution of PKI in the enterprises

This publication includes topics such as: PKI Operation & Case Study, Non-repudiation, Authorization & Access Control, Authentication & Time-Stamping, Certificate Validation & Revocation, and Cryptographic Applications

The wholesale capture and distribution of knowledge over the last thirty years has created an unprecedented need for organizations to manage their knowledge assets

Knowledge Management (KM) addresses this need by helping an organization to leverage its information resources and knowledge assets by `remembering` and applying its experience

KM involves the acquisition, storage, retrieval, application, generation, and review of the knowledge assets of an organization in a controlled way

This volume is a systematic, expansive presentation of the major achievements in the intersection between two fields of inquiry: Argumentation Theory and Artificial Intelligence

Contributions from international researchers who have helped shape this dynamic area offer a progressive development of intuitions, ideas and techniques, from philosophical backgrounds, to abstract argument systems, to computing arguments, to the appearance of applications producing innovative results

Each chapter features extensive examples to ensure that readers develop the right intuitions before they move from one topic to another

Use of argumentation methods applied to legal reasoning is a relatively new field of study

Many vitally important problems of legal reasoning can be profitably studied in light of these new methods, even if they cannot all be solved in any single monograph

This book provides a survey of the leading problems, and outlines how future research using argumentation-based methods show great promise of leading to useful solutions

This edited volume gives the first-ever book-length presentation of contemporary research in the domain of Artificial General Intelligence (AGI)

What distinguishes AGI research from run-of-the-mill AI research is that it is explicitly focused on engineering general intelligence ? autonomous, self-reflective, self-improving, commonsensical intelligence ?

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do

This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds

Major theoretical approaches are outlined, as well as some promising recent developments

This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems

What's more, it offers these AI tools on an accompanying disk with easy-to-use software

Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning

Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges

Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models

Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field

Is human creativity a wall that AI can never scale? Many people are happy to admit that experts in many domains can be matched by either knowledge-based or sub-symbolic systems, but even some AI researchers harbor the hope that when it comes to feats of sheer brilliance, mind over machine is an unalterable fact

In this book, the authors push AI toward a time when machines can autonomously write not just humdrum stories of the sort seen for years in AI, but first-rate fiction thought to be the province of human genius

This book constitutes the refereed post-proceedings of the 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, held in Jeju Island, Korea in October 2004

The 74 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 170 submissions; after the conference, the papers went through another round of revision

The papers are organized in topical sections on modeling and simulation methodologies, intelligent control, computer and network security, HLA and simulator interoperation, manufacturing, agent-based modeling, DEVS modeling and simulation, parallel and distributed modeling and simulation, mobile computer networks, Web-based simulation and natural systems, modeling and simulation environments, AI and simulation, component-based modeling, watermarking and semantics, graphics, visualization and animation, and business modeling

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004

The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions

The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications in various fields

With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature

Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts

Artificial Intelligence and Soft Computing fills this gap

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2004, held in Linz, Austria in September 2004

The 17 revised full papers and 4 revised short papers presented together with 4 invited papers were carefully reviewed and selected for inclusion in the book

The papers are devoted to all current aspects in the area of symbolic computing and AI: mathematical foundations, implementations, and applications in industry and academia

Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value

The conference focused on profitable intelligent systems and technologies

AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services

Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management

The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005

A very promising sign of the growing importance of Artificial Intelligence techniques in practical applications is the large number of submissions received for the conference - more than 150

Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems

The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user

The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems

One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems

These systems utilize a search space and algorithms in order to reach a solution

Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques

Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today?s society and potential for the future

The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life

The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science

This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built

An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning

The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed

Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC

This creates the potential for technology supported learning wherever and whenever learners need and want it

This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning

The remedy designed for this purpose relies on artificial intelligence

The book describes original research which demonstrates the success of this approach

This volume presents proceedings from the 19th IFIP World Computer Congress in Santiago, Chile

The proceedings of the World Computer Congress are a product of the gathering of 2,000 delegates from more than 70 countries to discuss a myriad of topics in the ICT domain

Of particular note, this marks the first time that a World Computer Congress has been held in a Latin American country

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work

We must constantly separate trustworthy and required information from the massive amount of data we encounter each day

Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings

Artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques

Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents

Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as `anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors

` This textbook is up-to-date and is organized using the latest principles of good textbook design

It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index

Intelligent agents are employed as the central characters in this new introductory text

Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI

Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents

This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts

The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i

e

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline

Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students

It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents

This book constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2004, held in Varna, Bulgaria in September 2004

The 52 revised full papers presented were carefully reviewed and selected from 176 submissions

The papers are organized in topical sections on ontology engineering, semantic Web services, knowledge representation and processing, machine learning and data mining, natural language processing, soft computing, neural networks, e-learning systems, multiagent systems, pattern recognition, intelligent  decision making, and information retrieval

Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as `anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors

` This textbook is up-to-date and is organized using the latest principles of good textbook design

It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index

The fifth edition of this book continues to provide a balanced perspective on the language schools, theories, and applications of artificial intelligence

These diverse branches are unified through detailed discussions of AI's theoretical foundations

The book is broken down into six parts to provide readers complete coverage of AI

Spurred by security and safety challenges, research efforts in thermographic sensors have advanced greatly, resulting in better performance in remote surveillance, object recognition, guidance and so on

This comprehensive survey provides a thorough account of the recent deployment of infrared sensors in modern applications of computer vision, as well as in-depth descriptions of the world?s best machine vision algorithms and intelligent analytics

Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge

These real-world applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications



Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning

This book discusses large margin and kernel methods for speech and speaker recognition

Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition

It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning

It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set

The remarkable advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks

This trend is accelerating

This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning

Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization

Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence?

Computer games are often played by a human player against an artificial intelligence software entity

In order to truly respond in a human-like manner, the artificia intelligence in games must be adaptive, or respond as a human player would as he/she learns to play a game

Biologically Inspired Artificial Intelligence for Computer Games reviews several strands of modern artificial intelligence, including supervised and unsupervised artificial neural networks; evolutionary algorithms; artificial immune systems, swarms, and shows using case studies for each to display how they may be applied to computer games

This book constitutes the refereed proceedings of the Second International Conference on Case-Based Reasoning, ICCBR-97, held in Providence, RI, USA, in July 1997

The volume presents 39 revised full scientific papers selected from a total of 102 submissions; also included are 20 revised application papers

Among the topics covered are representation and formalization, indexing and retrieval, adaptation, learning, integrated approaches, creative reasoning, CBR and uncertainty

`Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem

This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions

The book will no doubt be of value to students and practitioners

Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical

In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems as well as the limitations of the existing quantitative techniques in modelling

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques contains information regarding state-of-the-art research outcomes and cutting-edge technology from leading scientists and researchers working on various aspects of the human movement

Argumentation has evolved from its original study primarily by philosophers to emerge in the last ten years as an important sub-discipline of Artificial Intelligence

Among the significant contributions resulting from this have been approaches to modeling and analysis of defeasible reasoning, formal bases for negotiation and dialogue processes in multiagent systems, and the use of argumentation theory in AI applications whose nature is not best described through traditional logics, e

g

This review volume introduces the novel intelligent Web theory called computational Web intelligence (CWI) based on computational intelligence (CI) and Web technology (WT)

It takes an in-depth look at hybrid Web intelligence (HWI), which is based on artificial biological and computational intelligence with Web technology and is used to build hybrid intelligent Web systems that serve wired and wireless users more efficiently

The basic principles of CWI and various e-applications of CWI and HWI are discussed

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media

Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification

This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe

Comparing the major features of biophysical inadequacy was related with the representation of differential equations

System dynamics is often modeled with the expressive power of the existing interval constraints framework

It is clear that the most important model was through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework

This publication focuses on the following subjects; understanding and modeling of collaborative work situations which are mediated by technical artefacts, either computational or not; developing appropriate design methodologies for cooperative work analysis and cooperative systems design; developing new technologies supporting cooperation; evaluating and measuring the performance of cooperative systems

The COOP conferences are predicated on the conviction that cooperative systems design requires a deep understanding of the cooperative work of groups and organizations, involving both artefacts and social practices

This is the reason why contributions from all disciplines related to the field of cooperative systems design are considered as relevant, including computer and information sciences (computer-supported cooperative work, group decision support systems, knowledge engineering, human-computer interaction, distributed artificial intelligence and multi-agent systems, etc

The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today

Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution

This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and design

This book constitutes the thoroughly refereed joint post-proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and the 5th Conference on Technology Transfer, TTIA 2003, held in San Sebastian, Spain, in November 2003

The 66 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing and improvement from an initial total of 214 submissions

The papers span the entire spectrum of artificial intelligence and advanced applications in various fields

This book constitutes the refereed proceedings of the 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, held in Salamanca, Spain, in November 2007, in conjunction with the 7th Workshop on Artificial Intelligence Technology Transfer, TTIA 2007

The 28 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 134 submissions

The papers address all current issues of artificial intelligence ranging from methodological and foundational aspects to advanced applications in various fields

Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives

Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability

Tremendous progress has been made in refining such algorithms; yet, automatic learning in many simple tasks in daily life still appears to be far from reach

Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world

There are numerous data sources available in organizational databases and on public information systems like the World Wide Web

Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes

Data Mining is the science and technology of exploring data in order to discover previously unknown patterns

It is a part of the overall process of Knowledge Discovery in Databases (KDD)

The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity

With a growing need for understanding the process involved in producing and perceiving spoken language, this timely publication answers these questions in an accessible reference

  Containing material resulting from many years? teaching and research, Speech Synthesis provides a complete account of the theory of speech

With the advent of the Digital Library initiative, web document processing and biometric aspects of digital document processing, together with new techniques of printed and handwritten Optical Character Recognition (OCR), a good overview of this fast-developing field is invaluable

In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source

Highlights include:

?

In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence

During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world

Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Engineering Societies in the Agents World, ESAW 2004, held in London, UK in October 2004

The 23 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book; also included are 2 invited papers by leading researchers in order to round of the coverage of the relevant topics

Epistemic logic has grown from its philosophical beginnings to find diverse applications in computer science as a means of reasoning about the knowledge and belief of agents

This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included together with their solutions

The authors begin by presenting the necessary apparatus from mathematics and logic, including Kripke semantics and the well-known modal logics K, T, S4 and S5

Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research

Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows and support decision-making processes

Focused initially on clarifying the fundamental concepts, limits, and drawbacks of using computer software to approach human decision making, the author also underscores the importance of putting theory into practice

This book combines coverage of expert systems theory with coverage of practical applications using CLIPS, an expert systems shell widely used in government, industry, and education

The result is a self-contained book and CD-ROM package for computer science, engineering, and CIS/MIS students and professionals that provides the conceptual background and programming tools needed to understand and implement expert systems

Despite the availability of cheap, fast, accurate and usable eye trackers, there is still little information available on how to develop, implement and use these systems

This second edition of Andrew Duchowski?s successful guide to these systems contains significant additional material on the topic and fills this gap in the market with this accessible and comprehensive introduction

As became apparent after the tragic events of September 11, 2001, terrorist groups are increasingly using the Internet as a communication and propaganda tool where they can safely communicate with their affiliates, coordinate action plans, raise funds, and introduce new supporters to their networks

This is evident from the large number of web sites run by different terrorist organizations, though the URLs and geographical locations of these web sites are frequently moved around the globe

The wide use of the Internet by terrorists makes some people think that the risk of a major cyber-attack against the communication infrastructure is low

Researchers in areas such as artificial intelligence, formal and computational linguistics, biomedical informatics, conceptual modeling, knowledge engineering and information retrieval have come to realize that a solid foundation for their research calls for serious work in ontology, understood as a general theory of the types of entities and relations that make up their respective domains of inquiry

In all these areas, attention is now being focused on the content of information rather than on just the formats and languages used to represent information

The clearest example of this development is provided by the many initiatives growing up around the project of the Semantic Web

* Provides a self-contained description of this important aspect of information processing and decision support technology


* Presents basic definitions, principles, applications, and a detailed bibliography


* Covers a range of real-world examples including control, data mining, and pattern recognition

The field of computer vision is now opening up possibilities offered by analyzing surface data for object recognition and scene understanding

This volume, which highlights current research, demonstrates that surface information can greatly simplify the image understanding process

The study is as much about a style of model-based three dimensional scene analysis as about a particular example of that style

Collection of essays authored by eminent scholars in evolutionary computation, artificial intelligence, operations research, complexity theory, and mathematics

For graduate students, experts, and interested scholars

Eleventh in this series

Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine

Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design and implementation; theory and implementation of hidden Markov models; speech recognition based on connected word models; large vocabulary continuous speech recognition; and task- oriented application of automatic speech recognition

For practicing engineers, scientists, linguists, and programmers interested in speech recognition

Artificial intelligence?broadly defined as the study of making computers perform tasks that require human intelligence?has grown rapidly as a field of research and industrial application in recent years

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory

The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems

Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems

This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling

The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models

Some major data and database models for engineering information modeling are investigated

Fuzzy sets were for a long time not accepted by the AI community

Now they have become highly evolved and their techniques are well established

  This book will teach the reader how to construct a fuzzy expert system to solve real-world problems

Fuzzy Logic provides a complete overview of fuzzy logic and outlines how it can be applied to real-world problems in industry and business

The book focuses on how the main concepts of fuzzy logic can be put to use in a practical way, and includes illustrative programs on an accompanying disk to provide hands-on experience in fuzzy applications



User review
Mycin
Fuzzy logic results from probable classifications

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision

Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors

A single notation, presentation style, and purpose are used throughout

Provides the reader with comprehensive coverage of theoretical foundations of fuzzy set theory and fuzzy logic, as well as a broad overview of the increasingly important applications of these novel areas of mathematics

DLC: Fuzzy sets



User review
Care is needed
I would hesistate to give anything less than a 5 star review to anything on fuzzy set theory in the wide sense

This book presents the genuine essence of engineering of fuzzy sets

It includes sound theory, a general methodological framework, efficient algorithms, and detailed validation schemes

Fuzzy Sets Engineering offers discussions in a top-down fashion, with general methodology followed by specific domains which rely strongly on the methodological foundations

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms

Graphs can model additional information which is often not present in commonly used data representations, such as vectors

Through the use of graph distance - a relatively new approach for determining graph similarity - the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors

This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence

Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence

Yet, until now, there has been no single volume collecting together the breadth of work in this area

Master cutting-edge Level 2 fusion techniques that help you develop powerful situation assessment services with eye-popping capabilities and performance with this trail-blazing resource

The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net-centricity, agent formalism, and distributed fusion together with essential Level 1 techniques and Level 1/2 interactions

Moreover, it includes all the tools you need to design high-level fusion services, select algorithms and software, simulate performance, and evaluate systems with never-before effectiveness

Biometrics deals with recognition of individuals based on their physiological or behavioral characteristics

The human ear is a new feature in biometrics that has several merits over the more common face, fingerprint and iris biometrics

Unlike the fingerprint and iris, it can be easily captured from a distance without a fully cooperative subject, although sometimes it may be hidden with hair, scarf and jewellery

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems

This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems

The book is divided into two parts

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms

Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems

Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition

Collection of articles describing recent progress in this emerging field

Covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, and others

This book provides research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice

The topics of research covered in this book mainly concentrate on a variety of themes in the domain of theory and practice of information modelling, conceptual modelling, design and specification of information systems, software engineering, databases and knowledge bases

We also aim to recognize and study new areas of modelling and knowledge bases to which more attention should be paid

Currently, the structural complexity of information resources, the variety of abstraction levels of information, and the size of databases and knowledge bases are continuously growing

We are facing the complex problems of structuring, sharing, managing, searching and mining data and knowledge from a large amount of complex information resources existing in databases and knowledge bases

New methodologies in many areas of information modelling and knowledge bases are expected to provide sophisticated and reliable solutions to these problems

In the last decades, information modelling and knowledge bases have become hot topics not only in academic communities related to information systems and computer science, but also in business areas where information technology is applied

This book aims to exchange scientific results and experiences achieved in computer science and other related disciplines using innovative methods and progressive approaches

A platform has been established drawing together researchers as well as practitioners dealing with information modelling and knowledge bases

This book treats the question of how far we have come in understanding intelligence and in duplicating it mechanically

The major facets of intelligence--reasoning, vision, language and learning are discussed as an approach to contrasting biological intelligence with current computer realizations

An introduction to pattern recognition, this text is meant for students in computer science and related fields in science and technology

Algorithms and real world applications accompany most of the topics in the text

In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed

This book constitutes the refereed proceedings of the 27th Annual German Conference on Artificial Intelligence, KI 2004, held in Ulm, Germany in September 2004

The 29 revised full papers presented together with 5 invited contributions were carefully reviewed and selected from 103 submissions

The papers are organized in topical sections on natural language processing, knowledge representation and ontologies, planning and search, neural networks and machine learning, reasoning, and robotics and machine perception

Knowledge representation is at the very core of a radical idea for understanding intelligence

Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed



This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way

The successful development and deployment of expert system tools spurred the initial momentum in developing and using intelligent techniques in industry

The brittleness of expert systems and the enormous effort involved in the development and maintenance of knowledge bases prompted researchers to seek friendlier approaches

Neural networks, fuzzy logic, and evolutionary computing tools added a new dimension to the quest for more intelligent tools to supplement the capabilities of expert systems

This volume contains the Proceedings of the Nineteenth JURIX Conference on Legal Knowledge and Information Systems (JURIX 2006)

The large number of submissions shows that the interdisciplinary community is still growing and active

This volume again covers a broad range of topics

This book constitutes the refereed proceedings of the 9th European Conference on Logics in Artificial Intelligence, JELIA 2004, held in Losbon, Portugal in September 2004

The 52 revised full papers and 15 revised systems presentation papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from a total of 169 submissions

The papers are organized in topical sections on multi-agent systems; logic programming and nonmonotonic reasoning; reasoning under uncertainty; logic programming; actions and cansation; complexity; description logics; belief revision; modal, spatial, and temporal logics; theorem proving; and applications

Proceedings of the European Workshop, JELIA 2000, held in Malaga, Spain, September 29- October 2, 2000

Major paper topics include knowledge representation, belief revision, reasoning about actions, and agents

Softcover

Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by `mind` anyway?

Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing

Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents

This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way

Moments as projections of an image?s intensity onto a proper polynomial basis can be applied to many different aspects of image processing

These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking

This book originates from the IJCAI 2003 International Workshop on Multi-Agents for Mass User Support, MAMUS 2003, held in Acapulco, Mexico in August 2003

Besides revised selected workshop papers, the volume editors invited contributions by leading researchers in order to complete coverage of important aspects

The papers address major current issues of multi-agent technology and its applications to support mass users and society more generally by using social coordination mechanisms

This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook

The book provides detailed coverage of basic topics as well as several closely related ones

Unlike traditional textbooks, the book brings together many leading experts, guaranteeing a broad and diverse base of knowledge and expertise

In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics

This book contains contributions from experts in the field is divided in two sections (GA and ANN)

In each part, tutorial chapters are included in which the theoretical bases of each technique are expertly (but simply) described

This book presents biologically inspired walking machines interacting with their physical environment

It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies

The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism

Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice

Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to be of practical use

It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving

This is an overview of classical artificial intelligence (AI) programming via actual implementation of landmark systems (case studies)

For the student interested in AI, Paradigms of Artificial Intelligence Programming is an invaluable history lesson

Even the programmer who is relatively uninterested in AI will find value in the book's basic introduction to Lisp and case studies written in Lisp

One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values

Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves

This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions

In this unique contribution to philosophical debate, Craig DeLancey shows that our best understanding of emotion provides essential insight on key issues in philosophy of mind and artificial intelligence

DeLancey offers us a bold new approach to the study of the mind based on the latest scientific research, and provides an accessible overview of the science of emotion and explanation of the technical issues that arise, with minimal jargon



User review
A long overdue perspective on emotion
This book is just right in tone and content

This book provides an overview of the current state of pattern matching as seen by specialists who have devoted years of study to the field

It covers most of the basic principles and presents material advanced enough to faithfully portray the current frontier of research

Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general

The 20 articles take up developments in competitive learning and computational maps, adaptive resonance theory, and specialized architectures and biological connections

Medical Imaging has become one of the most important visualization and interpretation methods in biology and medecine over the past decade

This time has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying medical images

This has led to a huge growth in the application of digital processing techniques for solving medical problems

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web

With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary

Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering

The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information

The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback

*Approaches pattern recognition from the designer's point of view
*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere
*Supplemented by computer examples selected from applications of interest

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval

This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications

This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to `learn`

A classic -- offering comprehensive and unified coverage with a balance between theory and practice!

Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition, audio classification, communications, computer-aided diagnosis, and data mining

The authors, leading experts in the field of pattern recognition, have once again provided an up-to-date, self-contained volume encapsulating this wide spectrum of information

This volume presents proceedings from the 19th IFIP World Computer Congress in Santiago, Chile

The proceedings of the World Computer Congress are a product of the gathering of 2,000 delegates from more than 70 countries to discuss a myriad of topics in the ICT domain

Of particular note, this marks the first time that a World Computer Congress has been held in a Latin American country

Autonomous agents and multi-agent systems have grown into a promising technology offering a credible alternative for the design of intelligent and cooperative systems

Recently efforts have been made to provide novel tools, methods, and frameworks to establish the necessary standards for wider use of MAS as a technology of its own and not only as an attractive paradigm

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Programming of the First International Workshop on Programming Multi-Agent Systems, PROMAS 2003, held in Melbourne, Australia in July 2003 as part of AAMAS 2003

This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007

The 97 revised full papers presented together with 4 keynote articles were carefully reviewed and selected from 200 submissions

The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, robotics and remote sensing, industry, health, space exploration, data mining, document analysis, natural language processing and speech recognition

B> This best-selling guide to Prolog has been fully revised and extended to provide an even greater range of applications, enhancing its value as a stand-alone guide to Prolog, artificial intelligence, or AI programming

Ivan Bratko discusses natural language processing with grammar rules, planning, and machine learning

The coverage of meta-programming includes meta-interpreters and object-oriented programming in Prolog

This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research

The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting

The book can be summarized as follows

This book presents selected extended and reviewed versions of the papers accepted for the First International Workshop on Regulated Agent Systems: Theory and Applications, RASTA 2002, held in Bologna, Italy, in July 2002, as part of AAMAS 2002

In addition, several new papers on the workshop theme are included as well; these were submitted and reviewed in response to a further call for contributions

The construction of artificial agent societies deals with questions and problems that are already known from human societies

Rob Milne was a remarkable man

He died of a heart attack on the 5th of June 2005 while climbing Mount Everest in Nepal

Milne (48) lived an active life: combining his three 'careers' seemingly effortlessly

Using artificial intelligence and robustness as a unifying theme, this book comments on the fundamental strategies found in nature (such as redundancy, granularity, adaptation, repair, self-healing, etc

), and how an understanding of these can be used to further research into general design principles for artificial intelligence in the context of a diverse range of modern research areas and systems (including pervasive computing, autonomic computing, ambient intelligence, bioinformatics and others)

Contributions from experts in the field provide an invaluable insight into a variety of cutting-edge research areas using artificial intelligence and robustness as the central theme

This book constitutes the refereed proceedings of the 4th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2004, held in Uppsala, Sweden in June 2004

The 45 revised full papers and 60 revised short papers presented together with 3 invited papers and a bibliographic project report were carefully reviewed and selected from 248 submissions

The papers are organized in topical sections on theory, logic and rough sets, granular computing, rough and fuzzy relations, foundations of data mining, incomplete information systems, interestingness, multiagents and information systems, fuzzy logic and modeling, rough classification, rough sets and probabilities, variable precision rough sets models, spatial reasoning, reduction, rule induction, rough sets and neural networks, clustering, data mining, image and signal recognition, information retrieval, decision support, adaptaive and optimization methods, bioinformatics, and medical applications

The fields of artificial intelligence, intelligence control, and intelligent systems are constantly changing

Semiotics and Intelligent Systems Development assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems

An evolutionary publication, Semiotics and Intelligent Systems Development forever changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy

This book is the companion text to Simulating Fuzzy Systems which investigated discrete fuzzy systems through crisp discrete simulation

The current book studies continuous fuzzy dynamical systems using crisp continuous simulation

We start with a crisp continuous dynamical system whose evolution depends on a system of ordinary differential equations (ODEs)

STAIRS 2006 is the third European Starting AI Researcher Symposium, an international meeting aimed at AI researchers, from all countries, at the beginning of their career: PhD students or people holding a PhD for less than one year

The topics of the papers included range from traditional AI areas to AI applications, such as Agents, Automated Reasoning, Belief Revision, Case-based Reasoning, Constraints, Data Mining & Information Extraction, Genetic Algorithms, Human Computer Interaction, Interactive Sensory Systems (Speech, Multi-Model Processing), Knowledge Representation, Logic Programming, Machine Learning, Natural Language Processing, Neural Networks, Nonmonotonic Reasoning, Planning & Scheduling, Reasoning about Action and Change, Robotics, Search, Semantic Web, Spatial & Temporal Reasoning and Uncertainty

IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields

This textbook provides an overview of theories, methodologies, and recent developments in the field of statistical learning and statistical analysis for visual pattern modeling and computing

The book describes the solid theoretical foundation, provides a complete summary of the latest advances, and presents typical issues to be considered in making a real system for visual information processing

Features: presents the fundamentals of statistical pattern recognition and statistical learning; discusses pattern representation and classification; provides a broad survey of recent advances in statistical learning and pattern analysis; introduces the supervised learning of visual patterns in images; covers visual pattern analysis in video; includes an in-depth discussion of information processing in the cognitive process

Support Vector Machines for Pattern Classification provides a comprehensive resource for the use of SVM?s in pattern classification

The subject area is particularly timely with research on kernel methods increasing rapidly; this book is unique in its focus on classification methods

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining

This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications

Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields

This book provides a rigorous look at the mechanisms underlying collective behavior in social insects

The field is developing rapidly, and the book includes up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics



User review
Impressively good, but not an introduction
Compared to `Swarm intelligence` by James Kennedy, this one is not introductive but gets quite deep into the working of applying the `swarm` paradigm to optimization problems

This volume offers a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems as well as applications and interesting experiences using the particle swarm optimisation

Swarm intelligence is an innovative computational way to solve hard problems

In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish

An exploration of a new approach to text generation that interprets systemic grammar as a computational representation

Patten demonstrates that systemic grammar can be easily and automatically translated into current AI-knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems

Thus, the fundamental methodological problem of interfacing specialized computational representations with equally specialized linguisticrepresentations can be resolved

What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design

AI's brightest and best - financiers, researchers, and users - analyze current projects, speculate on trends in factory automation, compare research in Japan and the U

In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy

The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action

The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects

This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models

This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition

Physical phenomena, objects and events in the world are related in various and often complex ways

THE INTERNATIONAL DICTIONARY OF ARTIFICIAL INTELLIGENCE

Anticipating the needs of professionals and researchers alike, this Dictionary is the first up-to-date reference volume on a discipline of ever-growing importance

Artificial intelligence is rapidly becoming the foundation discipline for thousands of new applications and will have dramatic effects on virtually every activity we engage in

This essential reference features over 2,500 entries, all defined and explained and illustrated, as well as detailed explanations of major concepts in related disciplines

Both the Turing test and the frame problem have been significant items of discussion since the 1970s in the philosophy of artificial intelligence (AI) and the philisophy of mind

However, there has been little effort during that time to distill how the frame problem bears on the Turing test

If it proves not to be solvable, then not only will the test not be passed, but it will call into question the assumption of classical AI that intelligence is the manipluation of formal constituens under the control of a program

In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased

The term intelligence seems to be a must in a large number of European and International project calls

AI Techniques have been used in almost any domain

Basic topological algorithms are the subject of this new book

It presents their underlying theory and discusses their applications

Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors

The current attempt to emulate human sapience (wisdom) by artificial means should be a step in the right direction beyond the Artificial/Computational Intelligence and Soft Computing disciplines, but is it warranted? Have humans achieved a level of modeling smart systems that justifies talking about sapience-wisdom?

This book presents computational paradigms describing lower- and higher-level cognitive functions, including mechanisms of concepts, instincts, emotions, situated behavior, language communication and social functioning

By ?model? we mean a mathematical description of a world aspect

Learning sciences researchers prefer to research learning in authentic contexts

They collect both qualitative and quantitative data from multiple perspectives and follow developmental micro-genetic or historical approaches to data observation

Learning sciences researchers conduct research with the intention of deriving design principles through which change and innovation can be enacted

Towards the Learning Grid Advances in Human Learning Services Volume 127 Frontiers in Artificial Intelligence and Applications Edited by: P

Ritrovato, C

Allison, S

Face recognition has been actively studied over the past decade and continues to be a big research challenge

Just recently, researchers have begun to investigate face recognition under unconstrained conditions

Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations

Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent

For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently

After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains

This unique monograph explores the cardinal, or quantitative, aspects of objects in the presence of vagueness, called vaguely defined objects

In the first part of the book such topics as fuzzy sets and derivative ideas, twofold fuzzy sets, and flow sets are concisely reviewed as typical mathematical representations of vaguely defined objects

Also, a unifying, approximative representation is presented