This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
We exploit the main similarity between the aspect-oriented programming paradigm and the inter-object, scenario-based approach to specification in order to construct a new way of ...
Research in face-to-face communication has identified a variety of largely unconscious patterns of behavior that are used by collaborators to coordinate their conversation, build ...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
This paper describes how a table tennis robot with a fiat paddle coordinates its movement in order to achieve efficient strokes for any given ball. We propose a method of generati...