Emotions play an important role in human decision making. This often has a beneficial effect, and so it is desirable to explore whether emotions can also play a role in agent dec...
Fahd Saud Nawwab, Trevor J. M. Bench-Capon, Paul E...
This paper proposes a combined mechanism for coordinating agents in timed normative multi-agent systems. Timing constraints in a multi-agent system make it possible to force actio...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...