Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
The evolution of music, from random note strings to certain “pleasant” note sequences, is traced in a multi-agent computational model. A community of agents, with some musical ...
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L) intended to permit the model-theoretic verification of multi-agent systems. A...
Rafael H. Bordini, Michael Fisher, Carmen Pardavil...
Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream appr...
Fabio Bellifemine, Giovanni Caire, Agostino Poggi,...
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...