UCT CS Research Document Archive

A New Approach to Probabilistic Belief Change

Rens, Gavin and Thomas Meyer (2015) A New Approach to Probabilistic Belief Change. In Russel, Ingrid and William Eberle, Eds. Proceedings International Florida AI Research Society Conference, pages 582-587, Hollywood, Florida, USA.

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Abstract

One way for an agent to deal with uncertainty about its beliefs is to maintain a probability distribution over the worlds it believes are possible. A belief change operation may recommend some previously believed worlds to become impossible and some previously disbelieved worlds to become possible. This work investigates how to redistribute probabilities due to worlds being added to and removed from an agent’s belief-state. Two related approaches are proposed and analyzed.

EPrint Type:Conference Paper
Subjects:I Computing Methodologies: I.2 ARTIFICIAL INTELLIGENCE
ID Code:1089
Deposited By:Meyer, Thomas
Deposited On:18 August 2016