David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Politics, Philosophy and Economics 11 (1):26-44 (2012)
It is widely believed that bringing parties with differing opinions together to discuss their differences will help both in securing consensus and also in ensuring that this consensus closely approximates the truth. This paper investigates this presumption using two mathematical and computer simulation models. Ultimately, these models show that increased contact can be useful in securing both consensus and truth, but it is not always beneficial in this way. This suggests one should not, without qualification, support policies which increase interpersonal contact if one seeks to improve the epistemic performance of groups
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Kevin J. S. Zollman (2013). Network Epistemology: Communication in Epistemic Communities. Philosophy Compass 8 (1):15-27.
Aron Vallinder & Erik J. Olsson (2013). Do Computer Simulations Support the Argument From Disagreement? Synthese 190 (8):1437-1454.
Gerhard Schurz (2012). Meta-Induction in Epistemic Networks and the Social Spread of Knowledge. Episteme 9 (2):151-170.
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