2009 | OriginalPaper | Chapter
Interactive Animation of Agent Formation Based on Hopfield Neural Networks
Authors : Rafael Kelly, Carmen Monroy
Published in: Bio-Inspired Systems: Computational and Ambient Intelligence
Publisher: Springer Berlin Heidelberg
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Formation of agents is of recent interest in computer sciences, robotics and control systems. Several goal formation strategies may be of interest according to the sensory capabilities of the agents. This paper addresses the formation of mobile agents in absolute positioning without order. In this paper a control system based on Hopfiled neural networks is proposed. The paper summarizes the control system and describes a JAVA-based application developed to visualize the control system behavior. This interactive animation tool improves the understanding of and intuition for a number of aspects dealing with the formation of agents such as agents dynamics. This tool allows to directly manipulate graphical representation of the systems such as initial configuration of the agents, and get instant feedback on the effects.