Artificial systems as models in biological cybernetics
Behavioral and Brain Sciences 24 (6):1071-1072 (2001)
| 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. | |||||||||
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Richard M. Burian (1997). Comments on Complexity and Experimentation in Biology. Philosophy of Science 64 (4):291.
Ramesh Balasubramaniam & Anatol G. Feldman (2001). Some Robotic Imitations of Biological Movements Can Be Counterproductive. Behavioral and Brain Sciences 24 (6):1050-1051.
Benoni B. Edin (2008). Assigning Biological Functions: Making Sense of Causal Chains. Synthese 161 (2):203 - 218.
Ulrich Krohs & Werner Callebaut (2007). Data Without Models Merging with Models Without Data. In Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff (eds.), Systems Biology: Philosophical Foundations. Elsevier.
Edoardo Datteri (2009). Simulation Experiments in Bionics: A Regulative Methodological Perspective. Biology and Philosophy 24 (3):301-324.
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