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16 - Learning from functionalism: prospects for strong artificial life

Published online by Cambridge University Press:  10 November 2010

Mark A. Bedau
Affiliation:
Reed College, Oregon
Carol E. Cleland
Affiliation:
University of Colorado, Boulder
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Summary

TWO USES FOR COMPUTERS

There are two quite different roles that computers might play in biological theorizing. Mathematical models of biological processes are often analytically intractable. When this is so, computers can be used to get a feel for the model's dynamics. You plug in a variety of initial condition values and allow the rules of transition to apply themselves (often iteratively); then you see what the outputs are.

Computers are used here as aids to the theorist. They are like pencil and paper or a sliderule. They help you think. The models being investigated are about life. But there is no need to view the computers that help you investigate these models as alive themselves. Computers can be applied to calculate what will happen when a bridge is stressed, but the computer is not itself a bridge.

Population geneticists have used computers in this way since the 1960s. Many participants in the Artificial Life research program are doing the same thing. I see nothing controversial about this use of computers. By their fruits shall ye know them. This part of the AL research program will stand or fall with the interest of the models investigated. When it is obvious beforehand what the model's dynamics will be, the results provided by computer simulation will be somewhat uninteresting. When the model is very unrealistic, computer investigation of its properties may also fail to be interesting.

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The Nature of Life
Classical and Contemporary Perspectives from Philosophy and Science
, pp. 225 - 235
Publisher: Cambridge University Press
Print publication year: 2010

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References

Block, N. (1975). Troubles with functionalism. In Savage, W. (Ed.), Perception and cognition: Issues in the foundations of psychology (Minnesota studies in the philosophy of science, volume IX) (pp. 261–326). Minneapolis: University of Minnesota Press.Google Scholar
Block, N. (1981). Psychologism and behaviorism. Philosophical Review, 90, 5–43.CrossRefGoogle Scholar
Dennett, D. (1978). Brainstorms. Cambridge, MA: MIT Press.Google Scholar
Dretske, F. (1985). Machines and the mental. Proceedings and Addresses of the American Philosophical Associations, 59, 23–33.CrossRefGoogle Scholar
Fisher, R. (1958). The genetical theory of natural selection. New York: Dover.Google Scholar
Fodor, J. (1968). Psychological explanation. New York: Random House.Google Scholar
Lewontin, R. (1970). The units of selection. Annual Review of Ecology and Systematics, 1, 1–14.CrossRefGoogle Scholar
Pattee, H. (1989). Simulations, realizations, and theories of life. In Langton, C. G. (Ed.), Artificial life (Santa Fe Institute studies in the sciences of complexity, proceedings volume VI) (pp. 63–77). Redwood City, CA: Addison-Wesley.Google Scholar
Penrose, R. (1990). The emperor's new mind. Oxford: Oxford University Press.Google Scholar
Place, U. T. (1956). Is consciousness a brain process?British Journal of Psychology, 47, 44–50.CrossRefGoogle ScholarPubMed
Putnam, H. (1975). The nature of mental states. In Putnam, H., Mind, language, and reality (pp. 429–440). Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Ryle, G. (1949). The concept of mind. New York: Barnes & Noble.Google Scholar
Searle, J. (1980). Minds, brains, and programs. Behavior and Brain Sciences, 3, 417–457.CrossRefGoogle Scholar
Smart, J. J. C. (1959). Sensations and brain processes. Philosophical Review, 68, 141–156.CrossRefGoogle Scholar
Sober, E. (1985). Methodological behaviorism, evolution, and game theory. In Fetzer, J. (Ed.), Sociobiology and epistemology (pp. 181–200). Dordrecht: Reidel.CrossRefGoogle Scholar
Sober, E. (1984). The nature of selection. Cambridge, MA: MIT Press.Google Scholar
Turing, A. (1950). Computing machinery and intelligence. Mind, 59, 433–460.CrossRefGoogle Scholar
Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.Google Scholar

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