Abstract. In dynamic applications characterised by a variety of alternative services with the same functionality but heterogeneous results, agents requesting services must find an ...
In this paper we present the MAPa language for expressing knowledge transfer and action restriction between agents in multiagent systems. Our approach is founded on the definition ...
Abstract. Agents may choose to ignore contract violations if the costs of enforcing the contract exceed the compensation they would receive. In this paper we provide an argumentati...
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...
Intelligent coordination in complex multi-agent environments requires sophisticated mechanisms for suboptimal task decomposition and efficient resource allocation provided by the t...