A process model of the understanding of uncertain conditionals
| Autor: | Niki Pfeifer, Gernot D. Kleiter, Andrew J. B. Fugard |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Interpretation (logic)
business.industry Computer science 05 social sciences Bayesian probability Probabilistic logic Inference Experimental and Cognitive Psychology 16. Peace & justice computer.software_genre Semantics 050105 experimental psychology Task (project management) 03 medical and health sciences Philosophy 0302 clinical medicine 0501 psychology and cognitive sciences Psychology (miscellaneous) Artificial intelligence business Modus ponens computer 030217 neurology & neurosurgery Natural language processing Event (probability theory) |
| Zdroj: | Thinking & Reasoning. 24:386-422 |
| ISSN: | 1464-0708 1354-6783 |
| DOI: | 10.1080/13546783.2017.1422542 |
| Popis: | To build a process model of the understanding of conditionals we extract a common core of three semantics of if-then sentences: (a) the conditional event interpretation in the coherencebased probability logic, (b) the discourse processingtheory of Hans Kamp, and (c) the game-theoretical approach of Jaakko Hintikka. The empirical part reports three experiments in which each participant assessed the probability of 52 if-then sentencesin a truth table task. Each experiment included a second task: An n-back task relating the interpretation of conditionals to working memory, a Bayesian bookbag and poker chip task relating the interpretation of conditionals to probability updating, and a probabilistic modus ponens task relating the interpretation of conditionals to a classical inference task. Data analysis shows that the way in which the conditionals are interpreted correlates with each of the supplementary tasks. The results are discussed within the process model proposed in the introduction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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