Towards the evolution of an artificial homeostatic system

Abstract-- This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS is composed of two modules, each one associated with a particular reactive task and both implemented using an extended version of the GasNet neural model, denoted spatially unconstrained GasNet model or simply non-spatial GasNet (NSGasNet). There is a coordination system, which is responsible for the specific role of each NSGasNet at a given operational condition. The switching among the NSGasNets is implemented as an artificial endocrine system (AES), which is based on a system of coupled nonlinear difference equations. The NSGasNets are synthesized by means of an evolutionary algorithm. The obtained neuro-endocrine controller is adopted in simulated and real benchmark applications, and the additional flexibility provided by the use of NSGasNet, together with the existence of an automatic coordination system...

• Type: Conference
• Year: 2008
• Where: CEC
• Authors: Renan C. Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben, Phil Husbands
• Keywords: Artificial Intelligence, CEC 2008, Coordination System, GasNet Neural Model, Unconstrained Gasnet Model