Presentation 2008-03-06
Extending homeostatic neural controller for adaptive behavior
Hiroyuki Iizuka,
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Abstract(in English) A homeostatic neural controller is extended by exploiting the internal dynamics of a neural network in the absence of sensory input and also by avoiding the loss of internal variability that is caused by a local plastic mechanism. The extended method can solve a contingent link between internal and behavoiural stability where homeostasis remain unaffected even under disruptions of behaviours. The method allows the generation of reliable adaptation to morphological disruptions in a simple simulated vehicle using a homeostatic neurocontroller that has been selected to behave homeostatically while performing the desired behaviour but non-homeostatically in other circumstances. The performance of the extended method is compared with simple homeostatic neural controllers. As a result, it is shown that the extended homeostatic networks are more adaptive and can adapt to the environmental changes that happen more than once.
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Keyword(in English) homeostasis / adaptive behaviour / evolutionary robotics / emergence
Paper # AI2007-53
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Committee AI
Conference Date 2008/2/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extending homeostatic neural controller for adaptive behavior
Sub Title (in English)
Keyword(1) homeostasis
Keyword(2) adaptive behaviour
Keyword(3) evolutionary robotics
Keyword(4) emergence
1st Author's Name Hiroyuki Iizuka
1st Author's Affiliation Department of Media Architecture, Future University-Hakodate()
Date 2008-03-06
Paper # AI2007-53
Volume (vol) vol.107
Number (no) 523
Page pp.pp.-
#Pages 6
Date of Issue