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Computer systems that learn, morgan kaufmann publishers, san mateo, california, 1991. Course outline: the course is divided into the following sections: case-based reasoning and cognition - basic concepts, models of memory, remindings, cases versus rules.
This book presents four contributions to planning research within an integrated framework. James allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, henry kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex.
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Conceptually, perception informs reasoning and reasoning guides action, although in some explicit control plans to guide its choices among situation- triggered behaviors.
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Aiello, editors, proceedings of the 5th international conference on principles on knowledge representation and reasoning (kr-96), pages 352--363, cambridge, ma, usa, 1996. Tractable plan existence does not imply tractable plan generation.
A common knowledge representation for plan generation and reactive execution. Journal of logic and computation, 5(6):731-761, december 1995. In proceedings of the fourth international conference on ai planning systems.
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Temporal data base management (with drew mcdermott), artificial intelligence 32 (1987) (also appears in ``readings in planning'' (morgan kaufmann), edited by james allen, james hendler, and austin tate). Incremental causal reasoning (with mark boddy), proceedings of the sixth national conference on artificial intelligence, seattle, washington.
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[14] pryor, louise and collins, gregg, cassandra: planning for contingencies, technical report 41, the insti-tute for the learning sciences, northwestern university, june 1993. Generating conditional plans and programs, proceedings of the aisb summer con-.
James allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, henry kautz develops the first formal specification of the plan recognition process and develops a powerful family.
Searching a plan space: each node in the graph represents partial plans. One can search for a plan with a totally-ordered sequence of actions (total order planning), or a plan with a partially ordered set of actions (partial order planning (pop) or least commitment planning).
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This dual mode of reasoning is at the heart of bayesian updating, planning and control.
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James allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, henry kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations.
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