Limits of the Application of Bayesian Modeling to Perception/ (Record no. 12491)
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fixed length control field | 01445nab a2200229 4500 |
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control field | 20220803092534.0 |
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fixed length control field | 220722b |||||||| |||| 00| 0 eng d |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Luccio, Riccardo |
245 ## - TITLE STATEMENT | |
Title | Limits of the Application of Bayesian Modeling to Perception/ |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | sage |
Date of publication, distribution, etc | 2019 |
300 ## - PHYSICAL DESCRIPTION | |
Pages | Vol 48, Issue 10, 2019: ( 901-917 p.). |
520 ## - SUMMARY, ETC. | |
Summary, etc | The general lines of Bayesian modeling (BM) in the study of perception are outlined here. The main thesis argued here is that BM works well only in the so-called secondary processes of perception, and in particular in cases of imperfect discriminability between stimuli, or when a judgment is required, or in cases of multistability. In cases of “primary processes,” on the other hand, it is often arbitrary and anyway superfluous, as with the laws of Gestalt. However, it is pointed out that in these latter cases, simpler and more well-established methodologies already exist, such as signal detection theory and individual choice theory. The frequent recourse to arbitrary values of a priori probabilities is also open to question. |
650 ## - Subject | |
Subject | Bayes’ rule, |
650 ## - Subject | |
Subject | imperfect discriminability, |
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Subject | assignment of probabilities, |
650 ## - Subject | |
Subject | SDT |
773 0# - HOST ITEM ENTRY | |
Host Biblionumber | 12374 |
Host Itemnumber | 16462 |
Place, publisher, and date of publication | Sage, |
Title | Perception |
International Standard Serial Number | 1468-4233 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1177/0301006619868125 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Articles |
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-- | ddc |
No items available.