Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
We present an implementation of a multi-agent system that aims at solving the problem of tacit knowledge transfer by means of experiences sharing. In particular, we consider experi...
Enrico Blanzieri, Paolo Giorgini, Fausto Giunchigl...
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
The Agent Rescue Emergency Simulator (ARES) system provides a simplified rescue scenario similar to Robocup Rescue for use in the educational or research fields when evaluating m...
Societal behaviour can be studied at a causal level by perturbing a stable multi-agent model with new microscopic behaviours and observing the statistical response over an ensembl...