In A. Del Barrio, C. J. Lynch, F. J. Barros & X. Hu (eds.), IEEE SpringSim Proceedings 2019. IEEE. pp. 1-12 (2019)

Patrick Grim
University of Michigan, Ann Arbor
What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well.
Keywords epistemic landscapes  philosophy of science  computational modeling  epistemic networks
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Knowledge in a Social World.Alvin Ira Goldman - 1999 - Oxford, England: Oxford University Press.
Knowledge in a Social World.Alvin I. Goldman - 2002 - Philosophy and Phenomenological Research 64 (1):185-190.

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Computer Modeling in Philosophy of Religion.F. LeRon Shults - 2019 - Open Philosophy 2 (1):108-125.

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