Classification and Clustering for Knowledge Discovery
Classification and Clustering for Knowledge Discovery

Author: Saman K. Halgamuge

Publisher: Springer Science & Business Media

Published: 2005-09-02

Total Pages: 376

ISBN-13: 9783540260738

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Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

Foundations of Distributed Artificial Intelligence
Foundations of Distributed Artificial Intelligence

Author: G. M. P. O'Hare

Publisher: John Wiley & Sons

Published: 1996-04-05

Total Pages: 598

ISBN-13: 9780471006756

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Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.

Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing
Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing

Author: Weiming Shen

Publisher: CRC Press

Published: 2019-09-17

Total Pages: 403

ISBN-13: 1482289253

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Agent Technology, or Agent-Based Approaches, is a new paradigm for developing software applications. It has been hailed as 'the next significant breakthrough in software development', and 'the new revolution in software' after object technology or object-oriented programming. In this context, an agent is a computer system which is capable of act

Agent Technology
Agent Technology

Author: Nick Jennings

Publisher: Springer Science & Business Media

Published: 1998

Total Pages: 338

ISBN-13: 9783540635918

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Agents are autonomous problem-solving software programs that are able to perform tasks in complex, dynamic environments, without receiving permanent guidance from the user. This is the first book on agents geared towards a wide audience of both agent developers and software developers. Written by the leading authorities in the field, the book introduces the technical foundations and reviews how agents are being -- and will be -- used on a daily basis.

Enhancing the Power of the Internet
Enhancing the Power of the Internet

Author: Masoud Nikravesh

Publisher: Springer

Published: 2012-09-07

Total Pages: 407

ISBN-13: 3540452184

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This book presents reports from the forefront of soft computing in the Internet industry and covers important topics in the field such as search engines, fuzzy query, decision analysis and support systems as well as e-business and e-commerce.

Reasoning Robots
Reasoning Robots

Author: Michael Thielscher

Publisher: Springer Science & Business Media

Published: 2005-12-15

Total Pages: 334

ISBN-13: 140203069X

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The creation of intelligent robots is surely one of the most exciting and ch- lenginggoals of Arti?cial Intelligence. A robot is, ?rst of all, nothing but an inanimate machine with motors and sensors. In order to bring life to it, the machine needs to be programmed so as to make active use of its hardware c- ponents. This turns a machine into an autonomous robot. Since about the mid nineties of the past century, robot programming has made impressive progress. State-of-the-art robots are able to orient themselves and move around freely in indoor environments or negotiate di?cult outdoor terrains, they can use stereo vision to recognize objects, and they are capable of simple object manipulation with the help of arti?cial extremities. At a time where robots perform these tasks more and more reliably,weare ready to pursue the next big step, which is to turn autonomous machines into reasoning robots.Areasoning robot exhibits higher cognitive capabilities like following complex and long-term strategies, making rational decisions on a high level, drawing logical conclusions from sensor information acquired over time, devising suitable plans, and reacting sensibly in unexpected situations. All of these capabilities are characteristics of human-like intelligence and ultimately distinguish truly intelligent robots from mere autonomous machines.

Artificial Intelligence Research and Development
Artificial Intelligence Research and Development

Author: Sandra Sandri

Publisher: IOS Press

Published: 2009

Total Pages: 456

ISBN-13: 1607500612

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This book is a collection of 45 accepted papers originally submitted for the 12th International Conference of the Catalan Association for Artificial Intelligence (ACIA). It also includes a brief summary of two papers from invited speakers. The Catalan Association for Artificial Intelligence was founded in 1994 with the aim of fostering cooperation among researchers from the Catalan-speaking AI research community. Collaboration between ACIA members and the wider international AI community has also been wel-established now for many years. The papers in these proceedings reflect this collaboration and include contributions not only from the Catalan-speaking regions of Spain, but also from France and Italy, and from as far afield as Mexico and Australia. Of al the fields in computer science, AI is the one most intertwined with all sorts of disciplines dealt with in the human experience, often employing lessons learnt in one discipline to implement a task in another. The papers in this volume reflect the rich iversity in AI, covering areas such as logics, natural language, machine learning, computer vision, robotics and multi-agent systems.

Architectural Design of Multi-Agent Systems: Technologies and Techniques
Architectural Design of Multi-Agent Systems: Technologies and Techniques

Author: Lin, Hong

Publisher: IGI Global

Published: 2007-05-31

Total Pages: 442

ISBN-13: 1599041103

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"This book is a compilation of advanced research results in architecture and modeling issues of multi-agent systems. It serves as a reference for research on system models, architectural design languages, methods and reasoning, module interface design, and design issues"--Provided by publisher.

Computer-Supported Cooperative Work
Computer-Supported Cooperative Work

Author: Uwe M. Borghoff

Publisher: Springer Science & Business Media

Published: 2013-11-09

Total Pages: 536

ISBN-13: 3662042320

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A detailed introduction to interdisciplinary application area of distributed systems, namely the computer support of individuals trying to solve a problem in cooperation with each other but not necessarily having identical work places or working times. The book is addressed to students of distributed systems, communications, information science and socio-organizational theory, as well as to users and developers of systems with group communication and cooperation as top priorities.

The Semantic Web
The Semantic Web

Author: Bo Leuf

Publisher: John Wiley & Sons

Published: 2006-02-22

Total Pages: 378

ISBN-13: 0470028165

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The Semantic Web is an idea of World Wide Web inventor Tim Berners-Lee that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a users needs. Although search engines index much of the Web's content, they have little ability to select the pages that a user really wants or needs. Berners-Lee foresees a number of ways in which developers and authors, singly or in collaborations, can use self-descriptions and other techniques so that the context-understanding programs can selectively find what users want. The Semantic Web: Crafting Infrastructure for Agency presents a more holistic view of the current state of development and deployment. This a comprehensive reference to the rapidly developing technologies, which are enabling more intelligent and automated transactions over the internet, and a visionary overview of the implications of deploying such a layer of infrastructure. A through examination of the Semantic Web, including the following topics: web information management, languages and protocols, application and tools, and collaboration and agency. A unique volume of practical information, in-depth analysis, conceptual overviews and contextual material from professionals in the field. Features appendices of technical terms and glossary, Semantic Web resources, intellectual property issues and lists of elements. This is essential reading for engineers, web developers and industry professionals wishing to enhance their knowledge of recent developments. Management staff, lecturers. postgraduate and undergraduate students will also find this book appealing.