Computer simulations in metaphysics

possibilities and limitations

Resumo

Computer models and simulations have provided enormous benefits to researchers in the natural and social sciences, as well as many areas of philosophy. However, to date, there has been little attempt to use computer models in the development and evaluation of metaphysical theories. This is a shame, as there are good reasons for believing that metaphysics could benefit just as much from this practice as other disciplines. In this paper I assess the possibilities and limitations of using computer models in metaphysics. I outline the way in which different kinds of model could be useful for different areas of metaphysics, and I illustrate in more detail how agent-based models specifically could be used to model two well-known theories of laws: David Lewis’s "Best System Account" and David Armstrong's "Nomic Necessitation" view. Some logically possible processes cannot be simulated on a standard computing device. I finish by assessing how much of a threat this is to the prospect of metaphysical modeling in general.

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Biografia do Autor

Billy Wheeler, Sun Yat-Sen University

Sun Yat-Sen University, Department of Philosophy - Zhuhai, Guangzhou China.

Referências

ALEXANDER, J., HIMMELREICH, J. & THOMPSON, C. Epistemic landscapes, optimal search, and the division of cognitive labor. Philosophy of Science, 82(3), 424-453, 2015.

ARMSTRONG, D. What is a law of nature? Cambridge: Cambridge University Press, 1983.

BEISBART, C. & HARTMANN, S. Computersimulationen in der angewandten politischen philosophie – ein beispiel. Kolloquium, 21(1), 1153-1162, 2016.

BRADDON-MITCHELL, D. Lossy laws. Nous, 35(2), 260277, 2001.

CARTWRIGHT. The dappled world. Cambridge: Cambridge University Press, 1999.

CHALMERS, D. Facing up to the problem of consciousness. Journal of Consciousness Studies, 2(3), 200-219, 1995.

CHALMERS, D. The conscious mind: in search of a fundamental theory. Oxford: Oxford University Press, 1996.

COCKSHOTT, P., MACKENZIE, L. & MICHAELSON, G. Computation and its limits. Oxford: Oxford University Press, 2012.

COGBURN, J. & SILCOX, M. Philosophy through computer games. London: Routledge, 2009.

COPELAND, J. (2002). Accelerating turing machines. Mind and Machines, 12(2), 281-301, 2002.

DE LANGHE, R. A unified model of the division of cognitive labor. Philosophy of Science, 81(3), 444459, 2014.

EKSTROM, L. Free will: a philosophical study. Boulder, CO: Westview, 2000.

EKSTROM, L. Free will, chance, and mystery. Philosophical Studies, 113(2), 153–80, 2003.

FAROUKI, R. & SHAPIRO, S. Computer Simulations of Environmental Influences on Galaxy Evolution in Dense Clusters. The Astrophysical Journal, 24(1), 928-945, 1980.

GARDNER, M. Mathematical games – the fantastic combinations of John Conway's new solitaire game "life". Scientific American, 223, 120-123, 1970.

GODFREY-SMITH, P. Theories and models in metaphysics. The Harvard Review of Philosophy, 14(1), 4-19, 2006.

GODFREY-SMITH, P. Metaphysics and the philosophical imagination. Philosophical Studies, 160(1), 97-113, 2012.

GORDON, S. & GORDON, F. Random simulations of radioactive decay. Primus, 3(3), 323-330, 1993.

GOULD, H., TOBOCHNIK, J. & CHRISTIAN, W. An introduction to computer simulation methods. Reading MA: Addison-Wesley, 2006.

GRIFFITH, M. Does free will remain a mystery? A response to van inwagen. Philosophical Studies, 124(3), 261–269, 2005.

GRIFFITH, M. Freedom and trying: understanding agent-causal exertions. Acta Analytica, 22(1), 16–28, 2007.

GRIFFITH, M. Why agent-caused actions are not lucky. American Philosophical Quarterly, 47(1), 43–56, 2010.

GRUNE-YANOFF, T. & WEIRICH, P. The philosophy and epistemology of simulation: a review. Simulation Gaming, 41(1), 20-50, 2012.

HAHN, U., VON SYDOW, M. & MERDES, C. How communication can make voters choose less well. Topics in Cognitive Science, 11(1), 194–206, 2019.

HONG, L. & PAGE, S. Groups of diverse problem solvers can outperform groups of high-ability problem solvers. Proceedings of the National Academy of Sciences of the United States of America, 101(46), 16385-16389, 2004.

HUMPHREYS, P. Extending ourselves: computational science, empiricism and scientific method. Oxford: Oxford University Press, 2004.

JACOBS, J. & O'CONNOR, T. (2013). Agent causation in a neo-aristotelian metaphysics. In: S. Gibb, E. J. Lowe, & R. D. Ingthorsson (Eds.), Mental Causation and Ontology (pp. 173-192). Oxford: Oxford University Press.

KLEIN, D., MARX, J. & SCHELLER, S. (2019). Rational choice and asymmetric learning in iterated social interactions – some lessons from agent-based modeling. In: K. Marker, A. Schmitt, & J. Sirsch (Eds.), Demokratie und entscheidung (pp. 277-294). Wiesbaden: Springer.

LEWIS, D. Counterfactuals. Oxford: Blackwell, 1973.

LEWIS, D. New work for a theory of universals. Australasian Journal of Philosophy, 61(4), 343-377, 1973.

LEWIS, D. Philosophical papers volume II. Oxford: Oxford University Press, 1986a.

LEWIS, D. On the plurality of worlds. London: Blackwell, 1986b.

LEWIS, D. Humean supervenience debugged. Mind, 103(412), 473-490, 1994.

LI, M. & VITANYI, P. An introduction to kolmogorov complexity and its applications. New York: Springer, 2008.

MCGUFFIE, K. & HENDERSON-SELLERS, A. A climate modelling primer. Chichester: Wiley & Sons, 2005.

MCKENNA, M. & COATES, J. (2015). Compatibilism. (E. Zalta, Ed.) Retrieved from The Stanford Encyclopedia of Philosophy (Winter 2018 Edition): https://plato.stanford.edu/archives/win2018/entries/compatibilism

MCTAGGART, J. The unreality of time. Mind, 17(68), 457474, 1908.

MELE, A. Free will and luck. Oxford: Oxford University Press, 2006.

MERDES, C. Strategy and the pursuit of truth. Synthese, Forthcoming, 1-22, 2018. Retrieved from https://doi.org/10.1007/s11229-018-01985-x

MILL, J. S. A system of logic. London: Routledge, 1985.

MORGAN, MARY S., and MARGARET MORRISON, eds. Models as mediators: perspectives on natural and social science. N edition. Cambridge ; New York: Cambridge University Press, 1999.

PAUL, L. Metaphysics as modeling: the handmaiden’s tale. Philosophical Studies, 160(1), 1-29, 2012.

PENROSE, R. The emperor's new mind. Oxford: Oxford University Press, 1989.

RAMSEY, F. Facts and propositions. Aristotelian Society Supplementary Volume, 7, 153–170, 1927.

THAN, O., BUTTGENBACH & S. Simulation of anisotropic chemical etching of crystalline silicon using a cellular automata model. Sensors and Actuators A: Physical, 45(1), 85-89, 1994.

TURING, A. On computable numbers, with an application to the entscheidungsproblem. Proceedings of the London Mathematical Society, 45(2), 230-265, 1937.

UBLER, H. & HARTMANN, S. Simulating trends in artificial influence networks. Journal of Artificial Societies and Social Simulation, 19(1), 2016. Retrieved from: http://jasss.soc.surrey.ac.uk/19/1/2.html

VAN FRAASSEN, B. Laws and symmetry. Oxford: Clarenden Press, 1989.

WEISBERG, M. & MULDOON, R. Epistemic landscapes and the division of cognitive labor. Philosophy of Science, 76(2), 225-252, 2009.

WHEELER, B. Simplicity, language-dependency and the best system account of laws. Theoria: An International Journal for Theory, History and Foundations of Science, 31(2), 189-206, 2016.

WHEELER, B. Humeanism and exceptions in the fundamental laws of physics. Principia: An International Journal of Epistemology, 21(3), 317–337, 2017.

WHEELER, B. Idealization and the laws of nature. Geneva: Springer, 2018.

WILLIAMSON, T. Model-building in philosophy. In: R. Blackford, & D. Broderick (Eds.), Philosophy’s future: the problem of philosophical progress (pp. 159-172). Oxford: Wiley-Blackwell.

WINSBERG, E. Science in the age of computer simulation. Chicago: University of Chicago Press, 2010.

WOLFRAM, S. A new kind of science. Champaign: Wolfram Media, 2002.

WOOLFSON, M. & PERT, G. An introduction to computer simulation. Oxford: Oxford University Press, 1999.

ZOLLMAN, K. The communication structure of epistemic communities. Philosophy of Science, 74(5), 574-587, 2007.

ZOLLMAN, K. The epistemic benefit of transient diversity. Erkenntnis, 72(1), 17-35, 2010.

Publicado
2019-10-11
Como Citar
Wheeler, B. (2019). Computer simulations in metaphysics. Manuscrito, 42(3), 108-148. Recuperado de https://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8657080
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Artigos