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Shakil M. Khan is an Assistant Professor at the University of Regina specializing in Artificial Intelligence. His research focuses on knowledge representation and reasoning, autonomous agents, and multi-agent systems. He studies the logical specifications of agents' mental states and rational behavior, formal models of deliberation and reasoning within the multi-agent systems paradigm. His primary research topics include action, change, causality, common-sense reasoning, knowledge beliefs, mental attitudes, belief change, goal reasoning, and preferences. Khan also explores agent theories and models, programming languages associated with agents, communication strategies, temporal, epistemic, and strategic reasoning, as well as multi-agent planning. His interest extends to applications of AI, particularly in software engineering.
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