—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...
Abstract. In this paper, we present a logic-based model for an accurate generation of intensional responses within a cooperative questionanswering framework. We develop several cat...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Presently, there is no satisfactory model for dealing with political autonomy of agents in policy based management. A theory of atomic policy units called ‘promises’ is therefo...