Virtual Realism: Really Realism or only Virtually so? A Comment on D. J. Chalmers’s Petrus Hispanus Lectures

  • 1 University of Bern,

Abstract

What is the status of a cat in a virtual reality environment? Is it a real object? Or part of a fiction? Virtual realism, as defended by D. J. Chalmers, takes it to be a virtual object that really exists, that has properties and is involved in real events. His preferred specification of virtual realism identifies the cat with a digital object. The project of this paper is to use a comparison between virtual reality environments and scientific computer simulations to critically engage with Chalmers’s position. I first argue that, if it is sound, his virtual realism should also be applied to objects that figure in scientific computer simulations, e.g. to simulated galaxies. This leads to a slippery slope because it implies an unreasonable proliferation of digital objects. A philosophical analysis of scientific computer simulations suggests an alternative picture: The cat and the galaxies are parts of fictional models for which the computer provides model descriptions. This result motivates a deeper analysis of the way in which Chalmers builds up his realism. I argue that he buys realism too cheap. For instance, he does not really specify what virtual objects are supposed to be. As a result, rhetoric aside, his virtual realism isn’t far from a sort of fictionalism.

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  • Barberousse, A.; Franceschelli, S.; and Imbert, C. 2009. Computer simulations as experiments. Synthese 169: 557–74.

  • Beisbart, C. 2018. Are computer simulations experiments? And if not, how are they related to each other? European Journal for Philosophy of Science 8: 171–204.

  • Beisbart, C. 2014. Are we Sims? How computer simulations represent and what this means for the simulation argument. Special issue edited by P. Humphreys of The Monist 97(3): 399–417.

  • Bertschinger, E. 1998. Simulations of structure formation in the universe. Annual Review of Astronomy and Astrophysics 36: 599–654.

  • Bissey, F. et al. 2007. Gluon flux-tube distribution and linear confinement in baryons. Physical Review D 76: 114512.

  • Brass, P. 2008. Advanced Data Structures. New York: Cambridge University Press.

  • Chalmers., D. J. 2003. The Matrix as metaphysics. Philosophy section of the official Matrix website, also in Philosophers Explore the Matrix, ed. by C. Grau. New York: Oxford University Press, 2005: 132–76. 2 more reprints.

  • Chalmers, D. J. 2017. The virtual and the real. Disputatio 9(46): 309–52. Earlier draft under http://consc.net/papers/virtual.pdf

  • Eklund, M. 2017. Fictionalism. In The Stanford Encyclopedia of Philosophy (Winter 2017 Edition), ed. by E. N. Zalta. URL = https://plato.stanford.edu/archives/win2017/entries/fictionalism/

  • Godfrey-Smith, P. 2006. The strategy of model-based science. Biology and Philosophy 21(5): 725–40.

  • Grüne-Yanoff, T.; and Weirich, P. 2010. The philosophy and epistemology of simulation: a review. Simulation Gaming 41: 20–50.

  • Hacking, I. 1983. Representing and Intervening. Introductory Topics in the Philosophy of Natural Science. Cambridge: Cambridge University Press.

  • Heim, M. 1998. Virtual Realism. New York: Oxford University Press.

  • Humphreys, P. 2004. Extending Ourselves: Computational Science, Empiricism, and Scientiic Method. New York: Oxford University Press.

  • Kripke, S. 1980. Naming and Necessity. Cambridge (MA): Harvard University Press.

  • Kroon, F.; and Voltolini, P. 2017. Fiction. In The Stanford Encyclopedia of Philosophy (Winter 2016 Edition), ed. by E.N. Zalta. URL = https://plato.stanford.edu/archives/win2016/entries/fiction/

  • Lopes, D. M. 2001. The ontology of interactive art. Journal of Aesthetic Education 35(4): 65–81.

  • McDonnell, N.; and Wildman, N. Virtual reality: digital or fictional? Forthcoming in this issue.

  • Putnam, H. 2002. Ethics Without Ontology. Cambridge (MA): Harvard University Press

  • Psillos, S. 1999. Scientiic Realism. How Science Tracks Truth. London: Routledge.

  • Quine, O. v. W. 1948. On what there is. Review of Metaphysics 2: 21–38. Reprinted in his 1953 From a Logical Point of View, Cambridge (MA): Harvard University Press, 1–19.

  • Schelling, T. 1969. Models of segregation. American Economic Review 59: 488–93.

  • Schlesinger, S. et al. 1979. Terminology for model credibility. Simulation 32: 103–4.

  • Shapere, D. 1982. The concept of observation in science and philosophy. Philosophy of Science 49: 485–525.

  • Smuts, A. 2009. What is interactivity? Journal of Aesthetic Education 43(4): 53–73.

  • Suárez, M. 2004. An inferential conception of scientific representation. Philosophy of Science 71: 767–79.

  • Walton, K. L. 1990. Mimesis as Make-believe: On the Foundations of the Representational Arts. Cambridge (MA): Harvard University Press.

  • Weisberg, M. 2007. Who is a modeler? British Journal for Philosophy of Science 58: 207–33.

  • Wildman, N.; and Woodward, R. 2018. Interactivity, fictionality, and incompleteness. In The Aesthetics of Videogames, ed. by G. Tavinor and J. Robson. London and New York: Routledge.

  • Winsberg, E. 2010. Science in the Age of Computer Simulations. Chicago: University of Chicago Press.

  • Winsberg, E. 2001. Simulations, models, and theories: complex physical systems and their representations. Philosophy of Science 68: 442–54.

  • Wright, C. 1993. Realism: Meaning and Truth. Collected Papers on Semantic Anti-realism, 2nd edition. Oxford: Blackwell.

  • Yablo, S. 2002. Go figure: a path through fictionalism. In Figurative Language, ed. by P.A. French and H. K. Wettstein. Midwest Studies in Philosophy 25: 72–102.

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