Engineering Environment-Mediated Multi-Agent Systems: International Workshop, Eemmas 2007, Dresden, Germany, October 5, 2007, Selected Revised and Inv 2008 Edition Contributor(s): Weyns, Danny (Editor), Brueckner, Sven A. (Editor), Demazeau, Yves (Editor) |
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ISBN: 3540850287 ISBN-13: 9783540850281 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: July 2008 Annotation: This book constitutes the thoroughly refereed proceedings of the International Workshop on Engineering Environment-Mediated Multi-Agent Systems, EEMMAS 2007, held in Dresden, Germany, in October 2007, in conjunction with ECCS 2007, the European Conference on Complex Systems The volume includes 16 thoroughly revised papers, selected from the lectures given at the workshop, together with 2 papers resulting from invited talks by prominent researchers in the field. The papers are organized in sections on engineering self-organizing applications, stigmergic interaction, modeling and structuring mediating environments, and environment-based support for context and organizations. |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Software Development & Engineering - General - Computers | Networking - Hardware |
Dewey: 006.3 |
Series: Lecture Notes in Computer Science |
Physical Information: 0.72" H x 6.21" W x 9.32" (1.04 lbs) 297 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Software intensive systems are increasingly expected to deal with changing user needs and dynamic operating conditions at run time. Examples are the need for life recon?gurations, management of resource variability, and dealing with p- ticular failure modes. Endowing systems with these kinds of capabilities poses severe challenges to software engineers and necessitates the development of new techniques, practices, and tools that build upon sound engineering principles. The ?eld of multi-agent systems focuses on the foundations and engineering of systems that consists of a network of autonomous entities (agents) that int- act to achieve the system goals. One line of research in multi-agent systems, inspired by biological, physical and other naturally occurring systems, concerns multi-agent systems in which agents share information and coordinate their - havior througha shared medium called an agentenvironment. Typical examples are gradient ?elds and digital pheromones that guide agents in their local c- text and as such facilitate the coordination of a community of agents. Since environment-mediation in multi-agent systems has shown to result in mana- able solutions with very adaptable qualities, it is a promising paradigm to deal with the increasing complexity and dynamism of distributed applications. Control in environment-mediated multi-agent systems is decentralized, i. e., noneofthecomponentshasfullaccessorcontroloverthesystem. Self-organization isanapproachtoengineerdecentralized, distributedandresource-limitedsystems thatarecapableofdynamicallyadaptingtochangingconditionsandrequirements without external intervention. This useful system property is often re?ected in functionssuchasself-con?guration, self-optimization, andself-healing. Engine- ing approaches to self-organizing systems often rely on global functionality to emerge from localand autonomous decisions of individual agents that commu- catethroughasharedagentenvironmen |