Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
AI planning systems tend to be disembodied and are not situated within the environment for which plans are generated, thus losing information concerning the interaction between th...
Abstract. In this paper, we describe how the AGORA multi-agent architecture is used to support Virtual Enterprises(VE). Software agents represent the partners of a VE, who collabor...