2022/02/01 by Joshua Habgood-Coote, Joshua Habgood‐Coote · 1 citation
Arts and Humanities · Computer Science · #Epistemology, Ethics, and Metaphysics #Logic, Reasoning, and Knowledge #Topic Modeling
paper · pdf · doi:10.1007/s11229-022-03594-1
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.