A Unified Epistemological Theory of Information Processing
| Autor: | Áron Tóbiás |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Process (engineering) 05 social sciences Information processing General Social Sciences General Decision Sciences Information design Computer Science Applications Variety (cybernetics) Epistemology Arts and Humanities (miscellaneous) 0502 economics and business Common knowledge Developmental and Educational Psychology Natural (music) 050206 economic theory 050207 economics Construct (philosophy) Unified field theory General Economics Econometrics and Finance Applied Psychology |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3306349 |
| Popis: | 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. I also apply the results to the problem of common knowledge and information design. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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