Chris Ewin completed his PhD at the University of Melbourne. His thesis explores how AI agents can more efficiently reason about their environment and the effects of their actions.
It develops new techniques for reasoning about the performance of expressive software agents in complex, long-lived environments. He is currently an Associate Lecturer at the University of Melbourne. His research interests include knowledge representation, artificial intelligence and multi-agent systems.
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Scholarly Works
Displaying the 3 most recent scholarly works by Chris Ewin.
Credentials
Positions
Associate Lecturer
Computing And Information Systems
Education
Doctor of Philosophy
University of Melbourne
Bachelor of Computer Science / Mechatronic Engineering
University of Melbourne