We simulate the evolution of a domain vocabulary in small communities. Empirical data show that human communicators can evolve graphical languages quickly in a constrained task (P...
Experimental analysis of agent strategies in multiagent systems presents a tradeoff between granularity and statistical confidence. Collecting a large amount of data about each s...
As the number of handicapped people increases worldwide, Intelligent Wheelchairs (IW) are becoming the solution to enable a higher degree of independence for wheelchair users. In a...
Frederico M. Cunha, Rodrigo A. M. Braga, Luí...
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
The open-source framework AKIRA integrates Multiagent and Pandemonium elements. We describe the main components of the framework, showing that the hybrid nature of the Agents, hav...
Giovanni Pezzulo, Gianguglielmo Calvi, Rino Falcon...