Towards a Representation of Decision Theory Problems with Probabilistic Answer Set Programs

Damiano Azzolini,Elena Bellodi,Fabrizio Riguzzi

ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE（2023）

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摘要

Probabilistic Answer Set Programming under the Credal Semantics is a recently introduced formalism to express uncertainty with answer set programming where the probability of a query is described by a range. We propose to extend it to encode decision theory problems.

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