My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Abstract. In this paper, we first investigate set semantics of propositional logic in terms of rough sets and discuss how truth values of propositions (sentences) can be interpret...
The Halo Pilot, a six-month effort to evaluate the state-ofthe-art in applied Knowledge Representation and Reasoning (KRR) systems, collaboratively developed a taxonomy of failure...
Noah S. Friedland, Paul G. Allen, Michael J. Witbr...
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...