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Multi-Agent System Engineering - 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'99 Valencia, Spain, June 30 - July 2, 1999 Proceedings (Paperback, 1999 ed.)
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Multi-Agent System Engineering - 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'99 Valencia, Spain, June 30 - July 2, 1999 Proceedings (Paperback, 1999 ed.)
Series: Lecture Notes in Artificial Intelligence, 1647
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In the ten years since the first MAAMAW was held in 1989, at King's
College, Cambridge, the field of Multi-Agent Systems (MAS) has
flourished. It has attracted an increasing amount of theoretical
and applied research. During this decade, important efforts have
been made to establish the scientific and technical foundations of
MAS. MAAMAW publications are testimony to the progress achieved in
key areas such as agent modelling and reasoning, multi-agent
interaction and communication, and multi-agent organisation and
social structure. Research results have covered a wide range of
inter-related topics in each area including agent architectures,
reasoning models, logics, conflict resolution, negotiation,
resource allocation, load balancing, learning; social behaviour and
interaction, languages and protocols, interagent and agent-human
communication, social models, agent roles, norms and social laws,
and static and dynamic organisational structures. The feasibility
and the viability of the proposed models and techniques have been
demonstrated through MAS applications in heterogeneous domains
including electronic commerce, co-operative work,
telecommunications, social and biological systems, robotics, office
and business automation, public administration, social simulations
and banking. As the applicability of the technology became
understood, the multi-agent paradigm has been progressively
accepted by product managers and system developers, giving rise to
a considerable amount of business expectation from industry. These
expectations do not rest on the concept or metaphor of agent, but
on the development of MAS useful in an industrial setting, with
real-time systems presenting the biggest challenge.
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