Abstract
We take coherence based probability logic as the basic reference theory to model human deductive reasoning. The conditional and probabilistic argument forms are explored. We give a brief overview of recent developments of combining logic and probability in psychology. A study on conditional inferences illustrates our approach. First steps towards a process model of conditional inferences conclude the paper.
Item Type: | Journal article |
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Keywords: | Human reasoning; Conditional; Probability logic; Argument forms |
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 Mind |
Subjects: | 100 Philosophy and Psychology > 100 Philosophy 100 Philosophy and Psychology > 150 Psychology 100 Philosophy and Psychology > 160 Logic |
ISSN: | 1570-8683 |
Language: | English |
Item ID: | 19090 |
Date Deposited: | 28. May 2014, 06:37 |
Last Modified: | 04. Nov 2020, 13:00 |