Artificial homeostatic system: a novel approach

Authors:
Patrícia Vargas;Renan Moioli;Leandro N. de Castro;Jon Timmis;Mark Neal;Fernando J. Von Zuben
Affiliations:
DCA/FEEC/Unicamp, Brazil;DCA/FEEC/Unicamp, Brazil;Unisantos, Brazil;University of Kent, UK;University of Wales, UK;DCA/FEEC/Unicamp, Brazil
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

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Abstract

Many researchers are developing frameworks inspired by natural, especially biological, systems to solve complex real-world problems. This work extends previous work in the field of biologically inspired computing, proposing an artificial endocrine system for autonomous robot navigation. Having intrinsic self-organizing behaviour, the novel artificial endocrine system can be applied to a wide range of problems, particularly those that involve decision making under changing environmental conditions, such as autonomous robot navigation. This work draws on “embodied cognitive science”, including the study of intelligence, adaptivity, homeostasis, and the dynamic aspects of cognition, in order to help lay down fundamental principles and techniques for a novel approach to more biologically plausible artificial homeostatic systems. Results from using the artificial endocrine system to control a simulated robot are presented.