We consider the problem of updating nonmonotonic knowledge bases represented by epistemic logic programs where disjunctive information and notions of knowledge and beliefs can be ...
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
I argue that an action-based model of belief update is largely compatible with the proposals advanced in the literature on formal approaches to discourse interpretation, especiall...
A method for automatically improving the performance of construction operations was developed by the integration of computer simulation and belief networks. The simulation model i...
A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In this paper we pr...