We propose a concept that combines the cognitive with the computational approaches to experience-based trust reasoning. We emphasize that a cognitive component is vital for computa...
The design of deterministic and fair mechanisms for selection among a set of self-motivated agents based solely on these agents' input is a major challenge in multiagent syst...
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...
We analyse scenarios in which self-interested agents negotiate with each other in order to agree on deals to exchange resources. We consider two variants of the framework, one whe...
Ulrich Endriss, Nicolas Maudet, Fariba Sadri, Fran...
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...