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Books > Computing & IT > Applications of computing > Artificial intelligence
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Co-ordination in Artificial Agent Societies - Social Structures and Its Implications for Autonomous Problem-Solving Agents (Paperback, 1999 ed.)
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Co-ordination in Artificial Agent Societies - Social Structures and Its Implications for Autonomous Problem-Solving Agents (Paperback, 1999 ed.)
Series: Lecture Notes in Computer Science, 1535
Expected to ship within 10 - 15 working days
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Advances in Computer Science often arise from new ideas and
concepts, that prove to be advantageous for the design of complex
software systems. The con ception of multi agent systems is
particularly attractive, as it prommodul ises arity based on the
conceptual speciality of an agent, as well as flexibility in their
inte gration through appropriate interaction models. While early
systems drew upon co operative agents, recent developments have
realised the importance of the notion of autonomy in the design of
agent based applications. The emergence of systems of autonomous
problem solving agents paves the way for complex Artificial
Intelligence applications that allow fosca r lability and at the
same time foster the reusability of their components. In
consequence, an intelligent multi agent application can be seen as
a collec tion of autonomous agents, usually specialised in
different tasks, together with a social model of their
interactions. This approach implies a dynamic generation of complex
relational structures, that agents need to be knowledgeable of in
order to successfully achieve their goals. Therefore, a multi agent
system designer needs to think carefully about conceptualisation,
representation and enactment of the different types of knowledge
that its agents rely on, for individual problem solving as well as
for mutual co ordination.
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