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.


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


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.


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.


Agent-Oriented Information Systems II

Agent-Oriented Information Systems II

Author: Paolo Bresciani

Publisher: Springer Science & Business Media

Published: 2005-05-12

Total Pages: 237

ISBN-13: 3540259112

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Information systems have become the backbone of all kinds of organizations - day. In almost every sector – manufacturing, education, health care, government and businesses large and small – information systems are relied upon for - eryday work, communication, information gathering and decision-making. Yet, the in?exibilities in current technologies and methods have also resulted in poor performance, incompatibilities and obstacles to change. As many organizations are reinventing themselves to meet the challenges of global competition and e-commerce, there is increasing pressure to develop and deploy new technologies that are ?exible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, intentions, etc., all of which need conc- tual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work ?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and ?- ible treatments of complex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design.


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.


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.


Logics in Artificial Intelligence

Logics in Artificial Intelligence

Author: Sergio Flesca

Publisher: Springer

Published: 2003-08-06

Total Pages: 589

ISBN-13: 3540457577

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This book constitutes the refereed proceedings of the European Conference on Logics in Artificial Intelligence, JELIA 2002, held in Cosenza, Italy in September 2002.The 41 revised full papers presented together with 11 system descriptions and 3 invited contributions were carefuly reviewed and selected from more than 100 submissions. The papers are organized in topical sections on multi-agent systems, evolution and changes, description logic and the semantic web, complexity issues, probabilistic logic, AI planning, modal logic and causal reasoning, theory, reasoning under uncertainty, satisfiability, paraconsisten reasoning, actions and caution, logic for agents, semantics, and optimization issues in answer set semantics.


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.


Computational Models of Mixed-Initiative Interaction

Computational Models of Mixed-Initiative Interaction

Author: Susan Haller

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 399

ISBN-13: 9401711186

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Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems. The ten contributions address the single issue of how control of an interaction should be managed when abilities needed to solve a problem are distributed among collaborating agents. Managing control of an interaction among humans and computers to gather and assemble knowledge and expertise is a major challenge that must be met to develop machines that effectively collaborate with humans. This is the first collection to specifically address this issue.