To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...
The automation of agents that bargain within markets is a challenging open problem. In these settings a seller agent can take advantage from the competition among several buyer ag...
Conversations are a useful means of structuring communicative interactions among agents. The value of a conversation-based approach is largely determined by the conversational mod...
R. Scott Cost, Ye Chen, Timothy W. Finin, Yannis L...
This paper reports on industrial deployment of multi-agent systems and agent technology. It provides an overview of several application domains and an in-depth presentation of four...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...