- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Complexity provides a better explanation than probability for confidence in syllogistic inferences
Behavioral and Brain Sciences 32 (1):91-91 (2009)
Abstract
Bayesian rationality is an important contribution to syllogistic inference, but it has limitations. The claim that confidence in a conclusion is a function of informativeness of the max-premise is anomalous because this is the least probable premise. A more plausible account is that confidence is inversely related to complexity. Bayesian rationality should be supplemented with principles based on cognitive complexityMy notes
Similar books and articles
On the computational complexity of the numerically definite syllogistic and related logics.Ian Pratt-Hartmann - 2008 - Bulletin of Symbolic Logic 14 (1):1-28.
: The development of deductive reasoning: How important is complexity?Graeme S. Halford & Glenda Andrews - 2004 - Thinking and Reasoning 10 (2):123 – 145.
The role of training, alternative models, and logical necessity in determining confidence in syllogistic reasoning.Jamie A. Prowse Turner & Valerie A. Thompson - 2009 - Thinking and Reasoning 15 (1):69 – 100.
Four probability-preserving properties of inferences.Ernest W. Adams - 1996 - Journal of Philosophical Logic 25 (1):1 - 24.
The functions of fossils: Inference and explanation in functional morphology.Derek Turner - 2000 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 31 (1):193-212.
Analytics
Added to PP
2009-02-13
Downloads
60 (#262,432)
6 months
14 (#168,878)
2009-02-13
Downloads
60 (#262,432)
6 months
14 (#168,878)
Historical graph of downloads
Citations of this work
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models. [REVIEW]Frederick Eberhardt & David Danks - 2011 - Minds and Machines 21 (3):389-410.
References found in this work
Bayesian Rationality: The Probabilistic Approach to Human Reasoning.Mike Oaksford & Nick Chater - 2007 - Oxford University Press.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-7c76586df8-4c2ch uwo