This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
Abstract--Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for norm-enforcement in multi-agent systems o...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
Abstract. This paper presents a general multi-agent architecture for the management of businessprocesses,and an agent designthat has been implemented within such a system. The auto...
Timothy J. Norman, Nicholas R. Jennings, Peyman Fa...
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented co...