Agents interacting in a multiagent environment not only have to be wary of interfering with each other when carrying out their tasks, but also should capitalize on opportunities f...
Abstract. Autonomic computing is being advocated as a tool for maintaining and managing large, complex computing systems. Self-organising multi-agent systems provide a suitable par...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...
Open trading environments involve a type of peer-to-peer computing characterised by well-defined interaction protocols that are used by the traders and sometimes updated dynamicall...
Martin K. Purvis, Mariusz Nowostawski, Stephen Cra...
In the last years, dozens of environments for modeling, testing and finally implementing multi-agent systems have been developed. Unfortunately, no standard criteria for understand...
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 ...