Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
In this paper we propose the use of an interactive multi-agent system for the study of rhythm evolution. The aim of the model proposed here is to show to what extent new rhythms em...
The goal of engineering self-organising emergent systems is to acquire a macroscopic system behaviour solely from autonomous local activity and interaction. Due to the non-determin...
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Computer agents are increasingly deployed in settings in which they make decisions with people, such as electronic commerce, collaborative interfaces, and cognitive assistants. Ho...
Raz Lin, Sarit Kraus, Yinon Oshrat, Ya'akov (Kobi)...