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Engineering Environment-Mediated Multi-Agent Systems - International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007, Selected Revised and Invited Papers (Paperback, 2008 ed.)
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Engineering Environment-Mediated Multi-Agent Systems - International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007, Selected Revised and Invited Papers (Paperback, 2008 ed.)
Series: Lecture Notes in Computer Science, 5049
Expected to ship within 10 - 15 working days
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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
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