Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
This work considers the problem of designing optimal multi-agent trajectories to patrol an environment. As performance criterion for optimal patrolling we consider the worst-case t...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
This paper proposes a multiagent based virtual community as a new means to support pervasive computing services. We give a conceptual definition of the concept of Place-Based Virt...
Tuan Nguyen, Seng Wai Loke, Torab Torabi, Hongen L...
This contribution presents a knowledge-based model of the agents’ mutual awareness (social knowledge) and justifies its role in various classes of applications of the concept of...