Ph.D., Computer Science, University at Buffalo
Current Research Interests:
Artificial intelligence, multi-agent systems, cognitive science, mobile robotics, knowledge representation and reasoning.
Dr. Hexmoor's basic research on cognitively inspired models has been funded. In addition to spawning numerous theses, his work has been significantly transitioned to mission critical projects of national priority. Hexmoor has pioneered interdisciplinary research that builds on social science models as tools for validation of large agent-based systems in use in space, as well as U.S. military applications. Hexmoor's research laboratory has the mission to promote practical education and research in intelligent agency and multi-agent systems.
His long range interest is to design and implement robotic and software agents and systems with the properties for autonomy, self-adaptation, sociality, and cognition, as well as safety and predictability. Sponsors include DoD, Air Force, Army and private companies.
- Hexmoor, H., Chandran, R. (2008). Delegations and Trust, In International Journal of Computational Intelligence, Theory and Practice, Vol. 3, No. 2., pp. 95-108., Serials Publications.
- Hexmoor, H. Rahimi, S., ,Chandran, R. (2008). Delegations guided by trust and autonomy. Web Intelligence and Agent Systems 6(2): 137-155.Sponsored by AFRL.
- Hexmoor, H., McLaughlan, B., Tuli, G., (2008). Natural Human Role in Supervising Complex Control Systems, In Journal of Experimental and Theoretical Artificial Intelligence, Taylor and Francis, pp. 59-77.