The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Driving simulators need an Intelligent Tutoring System (ITS). Simulators provide ways to conduct objective measurements on students' driving behavior and opportunities for cre...
Ivo Weevers, Jorrit Kuipers, Arnd O. Brugman, Job ...
This paper addresses the issue of emergence of robust cooperation among self-interested agents interacting in N-player social dilemma games. A series of graphs are created each ex...