In this paper, we present a negotiation framework in which the negotiation process is performed at two levels. The upper level deals with the formation of high-level goals and obj...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
This paper presents a logical account of sensor data assimilation in a mobile robot, based on abduction. Unlike previous work, the present formulation handles sensor noise as well...
This paper develops a model for exceptions and an approach for incorporating them in commitment protocols among autonomous agents. Modeling and handling exceptions is critical for...
This paper describes the design and implementation of a layered agent architecture for decision support applications in general and for distributed medical care in particular. Thre...