Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
Abstract. Multiagent cooperative negotiation is a promising technique for modeling and controlling complex systems. Effective and flexible cooperative negotiations are especially...
The modularization of negotiating agents as proposed by the C-IPS approach provides a sound base for a concept that we call dynamic degrees of delegation. Agents following this co...
We consider the problem of allocating networked resources in dynamic environment, such as cloud computing platforms, where providers strategically price resources to maximize thei...
Bo An, Victor R. Lesser, David Irwin, Michael Zink