In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
Previous work on task scheduling mechanisms assumed that the agent’s goal is to maximize its own profit without considering the effect of its strategy on the other agents’ pr...
This paper describes and evaluates three methods for coordinating multiple agents. These agents interact in two ways. First, they are able to work together to achieve a common poo...
Steve A. Chien, Anthony Barrett, Tara A. Estlin, G...
—Mobile cooperative sensor networks are increasingly used for surveillance and reconnaissance tasks to support domain picture compilation. However, efficient distributed informat...
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...