In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
This article presents the results of experiments performed with agents based on an operalization of an information-theoretic model for trust. Experiments have been performed with t...
Recent development of capture and archival technology for experiences can serve to extend our memory and knowledge and enrich our collaboration with others. Conversation is an impo...