RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
: Multiagent Systems (MAS) are open, heterogeneous and distributed software systems of autonomous agents. The management of exception differs in MAS from what is known in usual eng...
In agent systems, different (autonomous) agents collaborate to execute complex tasks. Each agent provides a set of useful capabilities, and the agent system combines these capabili...
In previous work [Zlotkin and Rosenschein, 1989a], we have developed a negotiation protocol and offered some negotiation strategies that are in equilibrium. This negotiation proce...
This paper addresses the issue of designing embodied conversational agents that exhibit appropriate posture shifts during dialogues with human users. Previous research has noted t...
Justine Cassell, Yukiko I. Nakano, Timothy W. Bick...