In the RETSINA multi-agent system, each agent is provided with an internal planning component—the RETSINA planner. Each agent, using its internal planner, formulates detailed pla...
Massimo Paolucci, Onn Shehory, Katia P. Sycara, Di...
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Users of synchronous groupware systems act both as individuals and as members of a group, and designers must try to support both roles. However, the requirements of individuals an...
Abstract. In this paper we investigate the usefulness of a new operator, inver-over, for an evolutionary algorithm for the TSP. Inver-over is based on simple inversion, however, kn...