State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
This paper describes a distributed learning system which consists of two connected computers so that students can learn in collaboration and/or competition at different locations. ...
Empirical game theory allows studying the strategic interactions of agents in simulations. Specifically, traditional game theory describes such interactions by an analytical model...
Thierry Moyaux, Brahim Chaib-draa, Sophie D'Amours
The functional characteristics of market-based solutions are typically best observed through the medium of simulation, data-gathering and subsequent visualization. We previously d...
Peter Gradwell, Michel A. Oey, Reinier J. Timmer, ...
Most former studies of Distributed Constraint Optimization Problems (DisCOPs) search considered only complete search algorithms, which are practical only for relatively small prob...