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.


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.


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 Science & Business Media

Published: 2009-09-23

Total Pages: 876

ISBN-13: 3642044409

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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.


Multiagent Systems

Multiagent Systems

Author: Gerhard Weiss

Publisher: MIT Press

Published: 2013-03-08

Total Pages: 917

ISBN-13: 0262018896

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


Artificial Intelligence and Soft Computing – ICAISC 2008

Artificial Intelligence and Soft Computing – ICAISC 2008

Author: Leszek Rutkowski

Publisher: Springer Science & Business Media

Published: 2008-06-16

Total Pages: 1275

ISBN-13: 3540695729

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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.


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.


Applications of Evolutionary Computing

Applications of Evolutionary Computing

Author: Mario Giacobini

Publisher: Springer Science & Business Media

Published: 2009-04-02

Total Pages: 857

ISBN-13: 3642011284

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This book constitutes the refereed joint proceedings of eleven European workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2009, held in Tübingen, Germany, in April 2009 within the scope of the EvoStar 2009 event. The 68 revised full papers and 23 revised short papers presented were carefully reviewed and selected from a total of 143 submissions. With respect to the eleven workshops covered, the papers are organized in topical sections on telecommunication networks and other parallel and distributed systems, environmental issues, finance and economics, games, design automation, image analysis and signal processing, interactive evolution and humanized computational intelligence, music, sound, art and design, continuous parameter optimisation, stochastic and dynamic environments, as well as transportation and logistics.


Computational Science — ICCS 2004

Computational Science — ICCS 2004

Author: Marian Bubak

Publisher: Springer Science & Business Media

Published: 2004-05-26

Total Pages: 1376

ISBN-13: 3540221166

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The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.