David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Episteme 6 (2):130-144 (2009)
This paper develops a formal framework to model a process in which the formation of individual opinions is embedded in a deliberative exchange with others. The paper opts for a low-resolution modeling approach and abstracts away from most of the details of the social-epistemic process. Taking a bird's eye view allows us to analyze the chances for the truth to be found and broadly accepted under conditions of cognitive division of labour combined with a social exchange process. Cognitive division of labour means that only some individuals are active truth seekers, possibly with different capacities. Both mathematical tools and computer simulations are used to investigate the model. As an analytical result, the Funnel Theorem states that under rather weak conditions on the social process, a consensus on the truth will be reached if all individuals possess an arbitrarily small capacity to go for the truth. The Leading the pack Theorem states that under certain conditions even a single truth seeker may lead all individuals to the truth. Systematic simulations analyze how close agents can get to the truth depending upon the frequency of truth seekers, their capacities as truth seekers, the position of the truth (more to the extreme or more in the centre of an opinion space), and the willingness to take into account the opinions of others when exchanging and updating opinions
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References found in this work BETA
C. L. Hamblin (1970/1993). Fallacies. Vale Press.
Christian List (2005). Group Knowledge and Group Rationality: A Judgment Aggregation Perspective. Episteme 2 (1):25-38.
Keith Lehrer (1976). When Rational Disagreement is Impossible. Noûs 10 (3):327-332.
Johan E. Gustafsson & Martin Peterson (2012). A Computer Simulation of the Argument From Disagreement. Synthese 184 (3):387–405.
Citations of this work BETA
Igor Douven & Sylvia Wenmackers (forthcoming). Inference to the Best Explanation Versus Bayes’s Rule in a Social Setting. British Journal for the Philosophy of Science:axv025.
Igor Douven & Christoph Kelp (2011). Truth Approximation, Social Epistemology, and Opinion Dynamics. Erkenntnis 75 (2):271-283.
Gerhard Schurz (2012). Meta-Induction in Epistemic Networks and the Social Spread of Knowledge. Episteme 9 (2):151-170.
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