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Action representation and partially observable planning using epistemic logic

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Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1067-1071.

Abstract

We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic SS. We show how to lift the effects of actions (both physical actions and sensing actions) from the state level to the epistemic level. We show how progression, regression and plan generation can be achieved in our framework.

Andreas Herzig, Jérôme Lang, and Pierre Marquis. 2003. Action representation and partially observable planning using epistemic logic. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1067–1071. https://ijcai.org/proceedings/2003/152
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