This paper presents some of the key techniques for reaching agreements in multi-agent environments. It discusses game-theory and economics based techniques: strategic negotiation, ...
Agents often interact strategically to meet conditions involving their own or other agents' knowledge. This interaction can be modeled using a new method of game construction...
Sieuwert van Otterloo, Wiebe van der Hoek, Michael...
This paper presents an action selection method using fuzzy logic. The objective is to solve behaviour conflict in behaviour-based architectures for virtual agent navigation in un...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Defeasible Logic is extended to programming languages for cognitive agents with preferences and actions for planning. We define rule-based agent theories that contain preferences ...
Mehdi Dastani, Guido Governatori, Antonino Rotolo,...