Bayesian models of perception and action: (Record no. 7955)
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000 -LEADER | |
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fixed length control field | 01874nam a22002057a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250106115413.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250104b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780262047593 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.542 |
Item number | MA |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ma, Wei Ji |
245 ## - TITLE STATEMENT | |
Title | Bayesian models of perception and action: |
Remainder of title | an introduction |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | MIT Press |
Place of publication, distribution, etc. | Cambridge |
Date of publication, distribution, etc. | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xiii, 382 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 5350.00 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.<br/><br/>Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners.<br/><br/>• Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience<br/>• Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts<br/>• Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics<br/>• Written by leaders in the field of computational approaches to mind and brain<br/>(https://mitpress.mit.edu/9780262047593/bayesian-models-of-perception-and-action/) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Bayesian statistical decision theory |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Kording, Konrad Paul |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Goldreich, Daniel |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | Operations Management & Quantitative Techniques | TB3056 | 19-12-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 01/06/2025 | Technical Bureau India Pvt. Ltd. | 3718.25 | 519.542 MA | 007044 | 01/06/2025 | 1 | 5350.00 | 01/06/2025 | Book |