Markov decision processes (MDPs) have proven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for so...

This paper describes a comprehensive and systematic framework for building mixed continuous/ discrete, i.e., hybrid physical system models. Hybrid mo...

In this paper, we expand the scope of constraint-directed scheduling techniques to deal with the case where the scheduling problem includes alternati...

Bongard problems present an outstanding challenge to artificial intelligence. They consist of visual pattern understanding problems on which the task...

We present a new approach to deal with default information based on the theory of belief functions. Our semantic structures, inspired by Adams’ epsil...