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Artificial systems as models in biological cybernetics

Published online by Cambridge University Press:  17 December 2002

Titus R. Neumann ,
Susanne Huber  and
Heinrich H. Bülthoff
Titus R. Neumann
Affiliation:
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germanytitus.neumann@tuebingen.mpg.deheinrich.buelthoff@tuebingen.mpg.de http://www.kyb.tuebingen.mpg.de/~titus http://www.kyb.tuebingen.mpg.de/~hhb
Susanne Huber
Affiliation:
Friedrich Miescher Laboratory, 72076 Tübingen, Germanysusanne.huber@tuebingen.mpg.de http://www.fml.tuebingen.mpg.de/schwarzer/
Heinrich H. Bülthoff
Affiliation:
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germanytitus.neumann@tuebingen.mpg.deheinrich.buelthoff@tuebingen.mpg.de http://www.kyb.tuebingen.mpg.de/~titus http://www.kyb.tuebingen.mpg.de/~hhb
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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.

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 24 , Issue 6 , December 2001 , pp. 1071 - 1072
Copyright
© 2001 Cambridge University Press

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