Inductive Corrections of Action Descriptions
نویسنده
چکیده
In this paper, we show how A-Prolog can be used to perform incremental, inductive learning of the behavior of dynamic domains from (possibly incomplete) observations. The learning module deals with both direct and indirect effects of actions, and is not affected by the frame problem. Moreover, the module can be combined with planning and diagnostic modules, allowing for its integration in autonomous agents.
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