Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...