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Lecture presents formalization and applications of knowledge in Multi-Agent Systems. Kripke's semantics of possible world is developed and the related problem of "omniscience" of agents is discussed with respect to bounded resources of agents. Several solutions of the problem are discussed. Knowledge-based programs for communications between agents are discussed in several settings (event-based approach, knowledge-based approach etc.).
Last update: T_KTI (15.01.2003)
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R. Fagin, J. Y. Halpern, Y. Moses, M, Y. Vardi, Reasoning about Knowledge , The MIT Press, Cambridge, Massachusetts 1995 2. M. Wooldridge, Reasoning about Rational Agents, The MIT Press, Cambridge, Massachusetts 2000 Last update: T_KTI (12.05.2004)
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1. Introduction. Problem of knowledge and communication. The Muddy Children Puzzle. Necessary conditions for its solution and communication. 2. Semantics. Kripke?s Possible-Worlds Model and propositional modal logic. Common knowledge and Distributed knowledge. Properties of knowledge, event-based approach. 3. Review of Completness and Complexity results for some modal logics. 4. Knowledge in Multi-Agent Systems. Runs and Systems, incorporating knowledge and time. Examples of systems: Knowledge Bases, Game Trees, Synchronous Systems, Perfect Recall,Message-passing systems, Asynchronous Message-passing Systems. 5. Protocols and Programs. Actions, protocols and context, programs and specifications. 6. Knowledge-Based Programming. Getting unique representation, Knowledge Bases revisited. 7. The problem of logical omniscience. Syntactic approach, semantic approach. Non-standard logic, impossible worlds.
Last update: T_KTI (12.05.2004)
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