Models of human behaviours used in multi-agent simulations are limited by the ability of introspection of the social actors: some of their knowledge (reflexes, habits, non-formali...
Abstract. Cooperative problem solving without communication is an oftenstudied field within multi-agent research. Realistic problems investigated in this particular field are compl...
Tibor Bosse, Mark Hoogendoorn, Catholijn M. Jonker
Internet search has a strong business model that permits a free service to users, so it is difficult to see why, if at all, there should be open source offerings as well. This pa...
Wray L. Buntine, Karl Aberer, Ivana Podnar, Martin...
For Peer-2-Peer (P2P) networks to realize their full potential their nodes need to coordinate and cooperate, to improve the performance of the network as a whole. But this requires...
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...