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Titlebook: Computational Logic in Multi-Agent Systems; 9th International Wo Michael Fisher,Fariba Sadri,Michael Thielscher Conference proceedings 2009

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Einleitung und Problemstellung,s of planning problems, and allow representing different reasoner architectures. We implement our approach by automatically encoding problems for the MBP planner. Our experimental results demonstrate that even simple problems can give rise to non-trivial (and often counter intuitive) time and memory saving strategies.
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Conference proceedings 2009 environment, they can have individual or joint goals, for which they can plan and execute actions. Work on such systems integrates many technologies and concepts in artificial intelligence and other areas of computing as well as other disciplines. The agent paradigm has become very popular and wide
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Programming Multi-agent Systems programming languages that facilitate the implementation of individual agents as well as mechanisms that control and regulate individual agents’ behaviors. It also requires computational tools to test and verify programs that implement multi-agent systems [7].
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Verifying Agents’ Conformance with Multiparty Protocols and we show that the problem of verifying the conformance of an agent with a protocol can be solved by making use of automata based techniques. Protocols with nonterminating computations, modeling reactive agents, can also be captured in this framework.
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Bounded-Resource Reasoning as (Strong or Classical) Plannings of planning problems, and allow representing different reasoner architectures. We implement our approach by automatically encoding problems for the MBP planner. Our experimental results demonstrate that even simple problems can give rise to non-trivial (and often counter intuitive) time and memory saving strategies.
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