This paper analyzes the process of automated negotiation between two competitive agents that have firm deadlines and incomplete information about their opponent. Generally speaking...
S. Shaheen Fatima, Michael Wooldridge, Nicholas R....
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...
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...
We are concerned with forms of interaction in which multiple users, with differing agendas and interests, may realise opportunities for useful synchronisation of their activities. ...
Automated negotiation has been of particular interest due to the relevant role that negotiation plays among trading agents. This paper presents two types of agent architecture: Cas...