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Goal generation and revision for planning agents in unpredictable environments
Abstract We present a control mechanism for selecti We present a control mechanism for selecting/generating the current goal of planning/acting agents in unpredictible environments. This mechanism enables such an agent to generate and revise goals obtained by subgoal regression or by reaction to current events. In order to reach the agent's adaptibility to different environments/applications, we assume that every possible goal can be evaluated by this mechanism. A practical instantiation of this mechanism is used for controlling a mobile robot in indoor environments for object delivery and surveillance scenarios. Experimental results show dependencies between control and envirtonment characteristics. control and envirtonment characteristics.
Author Philippe Morignot +, Barbara Hayes-Roth +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-95-75  +
Modification dateThis property is a special property in this wiki. 1 May 2009 14:03:47  +
Month October +
Number KSL-95-75  +
Tag Computer science +
Title Goal Generation and Revision for Planning Agents in Unpredictable Environments  +
Tr id KSL-95-75  +
Year 1995  +
Categories Technical Report, Publication, KSL Technical Report
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