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Abstract - michaelbarnathanname摘要:michaelbarnathanname.ppt

Abstract - michaelbarnathanname摘要:michaelbarnathanname.ppt

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Abstract - michaelbarnathanname摘要:michaelbarnathanname

Abstract Introduction A testbed for abstraction GoLog Communications Examples: Hunt the Wumpus The Wumpus Board The Agent in Action The Blocks Example The Blocks Example The Blocks Example Rapid Response System: Preventing Agricultural Bioterror Rapid Response System: Preventing Agricultural Bioterror Conclusion An intelligent agent operating in a complex world cannot base its decisions solely on the worlds objective and preprogrammed rules. Rather, the agent may need to gather information in order to determine its next action. Programming such an agent must be knowledge-based in the sense that the agent must be capable of gathering required information, integrating that information into its knowledge-base, and acting upon both new and prior knowledge. GOLOG is a high-level rule-based programming language that allows knowledge-based programming. A testbed for developing and running GOLOG programs has been developed. This testbed allows GOLOG programs, representing agents, to communicate with external programs representing the outside world. This approach is illustrated with several examples of communication between GOLOG agents and GUI-driven Java programs. In addition to the standard cases of true and false, a knowledge-based agent must consider a third case: There is not enough information to answer the query. Such an agent not only needs to know information, but needs to know whether it knows the information. In general, knowledge-based agents will not have complete information about the world. Even in a restricted domain, a truly knowledge-based system will not be fed information regarding a domain; formalism is used to distinguish between the two. The information must trickle in via sensing actions, then must be integrated into the agent’s knowledge base to allow for reasoning based on the new information. Knowledge-based programming attempts to codify logical constructs such as knows and Kweather, as well as sensing axioms, into a programming language. Know

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