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Artificial systems as models in biological cybernetics

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84104

Neumann,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83985

Huber,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Neumann, T., Huber, S., & Bülthoff, H. (2001). Artificial systems as models in biological cybernetics. Behavioral and Brain Sciences, 24(6), 1071-1072. doi:10.1017/S0140525X0144012X.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E153-3
Abstract
From the perspective of biological cybernetics, "real world" robots have no fundamental advantage over computer simulations when used as models for biological behavior. They can even weaken biological relevance. From an engineering point of view, however, robots can benefit from solutions found in biological systems. We emphasize the importance of this distinction and give examples for artificial systems based on insect biology.