A unified epistemological theory of information processing

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


What does it mean for an agent faced with choice under uncertainty to “know” something? While a variety of mathematical methods are available to construct formal models to answer this question, the combination of different approaches may lead to unsettling paradoxes. I propose a unified theory that eliminates such inconsistencies by relying on a sharp conceptual distinction between information the decision-maker observes and how much of that information she can cognitively process. The resulting model allows for natural decision-theoretic characterizations of comparing different amounts of information.

Original languageEnglish (US)
Pages (from-to)63-83
Number of pages21
JournalTheory and Decision
Issue number1
StatePublished - Feb 2021


  • Information
  • Knowledge
  • Measure theory
  • Partitions

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Applied Psychology
  • Social Sciences(all)
  • Economics, Econometrics and Finance(all)
  • Computer Science Applications


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