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Type: Artigo de evento
Title: Artificial Homeostatic System: A Novel Approach
Author: Vargas P.
Moioli R.
De Castro L.N.
Timmis J.
Neal M.
Von Zuben F.J.
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. © Springer-Verlag Berlin Heidelberg 2005.
Rights: fechado
Identifier DOI: 10.1007/11553090_76
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

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