Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Certain problems in connection with, for example, cooperating agents and distributed systems require reasoning about time which is measured on incomparable or unsynchronized time ...
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
Workflow technology has emerged as an appropriate platform for consolidating the distributed information resources of an enterprise, promoting interoperability across cross-platfo...
Scientists are increasingly turning to numerical simulation in order to investigate and model complex environmental systems. Numerical simulation has enormous advantages over labor...