Multiagent systems for mobile and pervasive computing should extensively exploit contextual information both to adapt to user needs and to enable autonomic behavior. This raises th...
Gabriella Castelli, Marco Mamei, Franco Zambonelli
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
The work we present here is mainly concerned with interagent communication, MAS communication protocols and, in particular, software tools and environments to define, experiment a...
Observation and communication are important aspects of agent teamwork. We employ the agent’s observability as the major means for individual agents to reason about the environme...