This paper describes a framework for collaboration between a user and a multi-agent system to achieve adjustable autonomy. Adjustable autonomy (AA) is when the levels of autonomy ...
The BDI agent model comprises a simple but efficient folk psychological framework of mentalistic notions usable for modeling rational agent behaviour. Nevertheless, despite its u...
Alexander Pokahr, Lars Braubach, Winfried Lamersdo...
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Abstract. Combinatorial Auctions are an attractive application of intelligent agents; their applications are countless and are shown to provide good revenues. On the other hand, on...
Marco Alberti, Federico Chesani, Alessio Guerri, M...