Goal generation and revision for planning agents in unpredictable environments

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abstract: 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.

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AbstractWe 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.
AuthorPhilippe Morignot  +, and Barbara Hayes-Roth  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-95-75  +
MonthOctober  +
NumberKSL-95-75  +
TagComputer science  +
TitleGoal Generation and Revision for Planning Agents in Unpredictable Environments  +
Tr idKSL-95-75  +
Year1995  +
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