Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
This paper presents a human-centered vision of unmanned but crewed platforms, combining an onshore collaborative hybrid environment and an intelligent offshore oilfield. Computer ...
Hugo Fuks, Alberto Raposo, Simone Diniz Junqueira ...
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
Distributed applications require distributed techniques for efficient resource allocation. These techniques need to take into account the heterogeneity and potential unreliability...
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...