Collaborative Agent Learning Using Neurocomputing

In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will investigate the use of Generalised Regression Neural Network (GRNN) to create and train agents capable of detecting face images. This agent would make up the `Detection Agent' in an architecture comprising of several different agents that collaborate together to detect and then recognise certain images. The overall agent architecture will operate as an Automatic Target Recognition' (ATR) system. The architecture of ATR system is presented in this paper and it is shown how the detection agent fits into the overall system. Experiments and results using detection agent is also presented.

• Type: Conference
• Year: 2004
• Where: ICONIP
• Authors: Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
• Keywords: Detection Agent, ICONIP 2004, ICONIP 2007, Neural Network, Overall Agent Architecture