English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  DetailsSummary

Released
Journal Article

Artificial systems as models in biological cybernetics

MPS-Authors
/persons/resource/persons84104

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

/persons/resource/persons83985

Huber,  S
Friedrich Miescher Laboratory, Max Planck Society;

/persons/resource/persons83839

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

External Resource

https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/artificial-systems-as-models-in-biological-cybernetics/56ADCA10E783E976E53F04CCF653D6AD
(Publisher version)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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: https://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.