RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Abstract. The AGRE model proposed by Ferber et al. is based on an interesting generalization of both physical and social environments. In this paper we revisit the AGRE model and e...
Abstract. While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas ...
We sketch how to express typical features of agent communication protocols in a simple temporal logic and show that conformance verification at runtime reduces to a generalised f...
We study coalitional games where the value of cooperation among the agents are solely determined by the attributes the agents possess, with no assumption as to how these attribute...