Coevolutionary Computation and Multiagent Systems
Coevolutionary Computation and Multiagent Systems

Author: Li-cheng Jiao

Publisher: WIT Press

Published: 2012

Total Pages: 271

ISBN-13: 184564638X

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The origins of evolutionary computation can be traced back to the late 1950's where it remained, almost unknown, to the broader scientific community for three decades until the 1980's when it started to receive significant attention, as did the study of multi-agent systems (MAS). This focuses on systems in which many intelligent agents interact with each other. Today these systems are not simply a research topic but are also beginning to become an important subject of academic teaching and industrial and commercial application. Co-Evolutionary Computational and Multi-Agent Systems introduces the author's recent work in these two new and important branches of artificial intelligence.

Evolutionary Multi-Agent Systems
Evolutionary Multi-Agent Systems

Author: Aleksander Byrski

Publisher: Springer

Published: 2016-12-21

Total Pages: 216

ISBN-13: 3319513885

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This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

Author: Ryszard Kowalczyk

Publisher: Springer

Published: 2009-10-04

Total Pages: 876

ISBN-13: 3642044417

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Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

Adaptive and Natural Computing Algorithms
Adaptive and Natural Computing Algorithms

Author: Bartlomiej Beliczynski

Publisher: Springer

Published: 2007-07-03

Total Pages: 868

ISBN-13: 3540716181

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This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.

Multi-Agent Systems
Multi-Agent Systems

Author: Faisal Alkhateeb

Publisher: BoD – Books on Demand

Published: 2011-04-01

Total Pages: 515

ISBN-13: 9533071761

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A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.

Artificial Intelligence and Soft Computing – ICAISC 2008
Artificial Intelligence and Soft Computing – ICAISC 2008

Author: Leszek Rutkowski

Publisher: Springer

Published: 2008-06-19

Total Pages: 1275

ISBN-13: 3540697314

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This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.

Hybrid Artificial Intelligence Systems
Hybrid Artificial Intelligence Systems

Author: Emilio Corchado

Publisher: Springer Science & Business Media

Published: 2009-06-02

Total Pages: 736

ISBN-13: 3642023185

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This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering.

Natural Computing in Computational Finance
Natural Computing in Computational Finance

Author: Anthony Brabazon

Publisher: Springer Science & Business Media

Published: 2010-06-09

Total Pages: 220

ISBN-13: 3642139493

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The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Agent and Multi-Agent Systems: Technologies and Applications
Agent and Multi-Agent Systems: Technologies and Applications

Author: Gordan Jezic

Publisher: Springer

Published: 2015-06-09

Total Pages: 455

ISBN-13: 3319197282

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Agents and multi-agent systems are related to a modern software paradigm which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems. The topics covered in this volume include agent-oriented software engineering, agent co-operation, co-ordination, negotiation, organization and communication, distributed problem solving, specification of agent communication languages, agent privacy, safety and security, formalization of ontologies and conversational agents. The volume highlights new trends and challenges in agent and multi-agent research and includes 38 papers classified in the following specific topics: learning paradigms, agent-based modeling and simulation, business model innovation and disruptive technologies, anthropic-oriented computing, serious games and business intelligence, design and implementation of intelligent agents and multi-agent systems, digital economy, and advances in networked virtual enterprises. Published papers have been presented at the 9th KES Conference on Agent and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2015) held in Sorrento, Italy. Presented results should be of value to the research community working in the fields of artificial intelligence, collective computational intelligence, robotics, dialogue systems and, in particular, agent and multi-agent systems, technologies, tools and applications.

Applications of Evolutionary Computing
Applications of Evolutionary Computing

Author: Mario Giacobini

Publisher: Springer

Published: 2009-04-11

Total Pages: 857

ISBN-13: 3642011292

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The year 2009 celebrates the bicentenary of Darwin’s birth and the 150th - niversary of the publication of his seminal work, On the Origin of Species.If this makes 2009 a special year for the research community working in biology and evolution, the ?eld of evolutionary computation (EC) also shares the same excitement. EC techniques are e?cient, nature-inspired planning and optimi- tion methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these methods can be used in the context of problem solving, optimization, and machine learning. A large and ever-increasing number of researchers and professionals make use of EC te- niques in various application domains. ThisvolumepresentsacarefulselectionofrelevantECapplicationscombined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and can help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving.