Episteme 10 (4):441-464 (2013)

Authors
Patrick Grim
University of Michigan, Ann Arbor
Daniel J. Singer
University of Pennsylvania
Abstract
A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others’, in order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes
Keywords networks  exploration  convergence  epistemic success  Epistemic landscapes
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DOI 10.1017/epi.2013.36
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