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Titlebook: Intelligent Agents II: Agent Theories, Architectures, and Languages; IJCAI‘95-ATAL Worksh Michael Wooldridge,Jörg P. Müller,Milind Tambe Co

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Reasoning about acting, sensing and failure handling: A logic for agents embedded in the real worldork is built on a logical theory for acting, sensing and planning and extends it by providing a way to reason about agents acting, sensing and failure handling. This is achieved by introducing into the theory the so called “laws of motion”, which describe uniformly reasoning about effects of agent‘s actions, perceptions and failure handling.
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Using recursive agent models effectively,ent problem, the pursuit task, to illustrate how real-time, multi-agent decision-making can be based on a principled, combinatorial model. Test results show a marked decrease in deliberation time while maintaining a good performance level.
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Semantical considerations on some primitives for agent specification, we are able to prove a success result for agents that is akin to the notion of liveness in traditional computing. Others have been able to prove similar results only with the support of rather strong additional assumptions.
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