David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Biology and Philosophy 24 (3):301-324 (2009)
Bionic technologies connecting biological nervous systems to computer or robotic devices for therapeutic purposes have been recently claimed to provide novel experimental tools for the investigation of biological mechanisms. This claim is examined here by means of a methodological analysis of bionics-supported experimental inquiries on adaptive sensory-motor behaviours. Two broad classes of bionic systems (regarded here as hybrid simulations of the target biological system) are identified, which differ from each other according to whether a component of the biological target system is replaced by an artificial component, or else a component of an artificial system is replaced by a biological component. The role of these hybrid systems in the modelling of adaptive sensory-motor biological behaviours is discussed with reference to bionics-supported experiments on the mechanisms of body stabilization in lampreys. Methodological problems emerging from these case studies often arise in computer-based and biorobotic simulations of biological behaviours too. Accordingly, the present analysis contributes to identifying a more general regulative methodological framework for the machine-based modelling of biological systems.
|Keywords||Philosophy Evolutionary Biology Philosophy of Biology|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Peter Achinstein (1965). Theoretical Models. British Journal for the Philosophy of Science 16 (62):102-120.
Roberto Cordeschi (2002). The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics. Kluwer.
Carl F. Craver (2007). Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience. Oxford University Press, Clarendon Press ;.
Carl F. Craver & Lindley Darden (2001). Discovering Mechanisms in Neurobiology: The Case of Spatial Memory. In P.K. Machamer, Rick Grush & Peter McLaughlin (eds.), Theory and Method in Neuroscience. Pittsburgh: University of Pitt Press. 112--137.
Robert C. Cummins (1975). Functional Analysis. Journal of Philosophy 72 (November):741-64.
Citations of this work BETA
M. Chirimuuta (2013). Extending, Changing, and Explaining the Brain. Biology and Philosophy 28 (4):613-638.
Similar books and articles
Edoardo Datteri & Guglielmo Tamburrini (2007). Biorobotic Experiments for the Discovery of Biological Mechanisms. Philosophy of Science 74 (3):409-430.
Titus R. Neumann, Susanne Huber & Heinrich H. Bülthoff (2001). Artificial Systems as Models in Biological Cybernetics. Behavioral and Brain Sciences 24 (6):1071-1072.
Benoni B. Edin (2008). Assigning Biological Functions: Making Sense of Causal Chains. Synthese 161 (2):203 - 218.
Sara Franceschelli (2009). Computer Simulations as Experiments. Synthese 169 (3):557 - 574.
Barbara Webb (2001). Can Robots Make Good Models of Biological Behaviour? Behavioral and Brain Sciences 24 (6):1033-1050.
Anouk Barberousse, Sara Franceschelli & Cyrille Imbert (2009). Computer Simulations as Experiments. Synthese 169 (3):557 - 574.
Wendy S. Parker (2009). Does Matter Really Matter? Computer Simulations, Experiments, and Materiality. Synthese 169 (3):483 - 496.
Darrell P. Rowbottom (2011). Approximations, Idealizations and 'Experiments' at the Physics-Biology Interface. Studies in History and Philosophy of Biological and Biomedical Sciences 42 (2):145-154.
Added to index2009-01-28
Total downloads12 ( #146,821 of 1,679,369 )
Recent downloads (6 months)1 ( #182,933 of 1,679,369 )
How can I increase my downloads?