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.

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

Azzolini D.
;
Bellodi E.;Riguzzi F.
2023

Abstract

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.
2023
Probabilistic Answer Set Programming, Decision Theory, Statistical Relational Artificial Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2525190
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