Abstract
This chapter describes a probabilistic framework of human reasoning based on probability logic. While there are several approaches to probability logic, the chapter adopts the coherence based approach. It assumes that rules similar to the principles of probability logic are basic rules of the human inference engine. The approach is called ‘mental probability logic’. Conditionals are of special importance in the approach. These are conceived as non-truth functional, as uncertain, and as nonmonotonic.
Item Type: | Book Section |
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Faculties: | Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Logic Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Science Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Mind |
Subjects: | 100 Philosophy and Psychology > 100 Philosophy 100 Philosophy and Psychology > 150 Psychology |
ISBN: | 9780199233298 |
Language: | English |
Item ID: | 19092 |
Date Deposited: | 28. May 2014, 06:38 |
Last Modified: | 29. Apr 2016, 09:16 |