This article presents a multi-agent dialogue system. We show how a collection of relatively simple agents is able to treat complex dialogue phenomena and deal successfully with di...
Hugo Pinto, Yorick Wilks, Roberta Catizone, Alexie...
We present a utility-driven rationality and a complementary-driven rationality based model, relative to multiple partner coalitions, motivated by relations of dependence and instru...
This paper argues that the agent-based simulation approach is just the one appropriate to the social sciences (including economics). Although there were many predecessor approache...
a growing need to study abstract problems in distributed multi-agent systems in a systematic way, as well as to provide a qualitative mathematical framework in which to compare po...
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...