The rapid changing business environment of high-tech asset intensive enterprises such as semiconductor manufacturing constantly drives production managers to look for better solut...
Malcolm Yoke-Hean Low, Kong Wei Lye, Peter Lenderm...
Agents or agent teams deployed to assist humans often face the challenges of monitoring the state of key processes in their environment (including the state of their human users t...
Pradeep Varakantham, Rajiv T. Maheswaran, Milind T...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
Policy enforcement is an integral part of many applications. Policies are often used to control access to sensitive information. Current policy specification languages give users ...