This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Abstract. We propose a declarative framework for modelling multi-agent systems and specify a number of properties of these systems and agents within them. The framework is parametr...
Andrea Bracciali, Paolo Mancarella, Kostas Stathis...
This work addresses the issue of obligations directed to groups of agents. Our main concern consists in providing a formal analysis of the structure connecting collective obligatio...
In this paper we describe the issues that need to be addressed when setting up an aware environment occupied simultaneously by several users. Combining the delivery of services for...
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...