In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
The environment is an important but overlooked piece in the construction of multiagent-based scenarios. Richness, believability and variety of scenarios are inseparable from the en...
Paul Hsueh-Min Chang, Kuang-Tai Chen, Yu-Hung Chie...
Moore’s Law is pushing us inevitably towards a world of pervasive, wireless, spontaneously networked computing devices. Whatever these devices do, they will have to talk to and n...
Iterative-improvement 2-way min-cut partitioning is an important phase in most circuit partitioning tools. Most iterative improvement techniques for circuit netlists like the Fidd...
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...