We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
In this paper we present a multi-criteria model for electronic auctions, which is based on reference points. According to the model, the buyer must specify an aspiration point tha...
Abstract. This paper summarizes a novel framework, called “physicomimetics,” for the distributed control of large collections of mobile physical agents in sensor networks. The ...
This research proposes a computational framework for generating visual attending behavior in an embodied simulated human agent. Such behaviors directly control eye and head motion...