Synthese 200 (1):1-23 (2022)

Authors
Joshua Habgood-Coote
University of Leeds
Abstract
How should we measure knowledge? According to the Counting Approach, we can measure knowledge by counting pieces of knowledge. Versions of the Counting Approach that try to measure knowledge by counting true beliefs with suitable support or by counting propositions known run into problems, stemming from infinite numbers of propositions and beliefs, difficulties in individuating propositions and beliefs, and cases in which knowing the same number of propositions contributes differently to knowledge. In this paper I develop a novel question-relative and contextualist version of the counting approach, which measures an agent's knowledge by counting the number of complete answers of a contextually salient issue they can rule out. The question-relative and contextualist version of the Counting Approach avoids the issues for the proposition and belief-based systems, and offers a general, systematic, and explanatory system for measuring knowledge.
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DOI 10.1007/s11229-022-03594-1
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References found in this work BETA

Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - Oxford University Press UK.
Knowledge and Practical Interests.Jason Stanley - 2005 - Oxford University Press.
Probabilistic Knowledge.Sarah Moss - 2018 - Oxford University Press.
Aboutness.Stephen Yablo - 2014 - Princeton University Press.
Elusive Knowledge.David K. Lewis - 1996 - Australasian Journal of Philosophy 74 (4):549 – 567.

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