A key problem when forming effective coalitions of autonomous agents is determining the best groupings, or the optimal coalition structure, to select to achieve some goal. To this...
Talal Rahwan, Sarvapali D. Ramchurn, Viet Dung Dan...
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
We propose a framework for multi-issue bilateral negotiation, where issues are expressed and related to each other via Description Logics. Agents’ goals are expressed through (c...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
Agents must form and update mental models about each other in a wide range of domains: team coordination, plan recognition, social simulation, user modeling, games of incomplete i...
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...