Abstract. Many works have identified the potential benefits of using argumentation to address a large variety of multiagent problems. In this paper we take this idea one step furth...
Antonis C. Kakas, Leila Amgoud, Gabriele Kern-Isbe...
Assistant Agents help ordinary people about computer tasks, in many ways, thanks to their rational reasoning capabilities about the current model of the world. However they face st...
Abstract. Game-theoretic analyses of distributed and peer-to-peer systems typically use the Nash equilibrium solution concept, but this explicitly excludes the possibility of strat...
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Commitment protocols formalize interactions among autonomous, heterogeneous agents, leaving the agents’ local policies unspecified. This paper studies the problem of agents ena...