The probabilistic mind: prospects for Bayesian cognitive science
'The Probabilistic Mind' brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods.
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Oxford [u.a.]
Oxford Univ. Press
2008
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | 'The Probabilistic Mind' brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods. |
| Beschreibung: | VIII, 525 S. Ill., graph. Darst. |
| ISBN: | 9780199216093 |
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| 245 | 1 | 0 | |a The probabilistic mind |b prospects for Bayesian cognitive science |c ed. by Nick Chater ... |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Oxford [u.a.] |b Oxford Univ. Press |c 2008 | |
| 300 | |a VIII, 525 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 520 | 3 | |a 'The Probabilistic Mind' brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods. | |
| 650 | 7 | |a Cognitiewetenschap |2 gtt | |
| 650 | 7 | |a Methode van Bayes |2 gtt | |
| 650 | 7 | |a Waarschijnlijkheid (statistiek) |2 gtt | |
| 650 | 4 | |a Bayes Theorem | |
| 650 | 4 | |a Cognition | |
| 650 | 4 | |a Cognitive Science | |
| 650 | 4 | |a Cognitive psychology | |
| 650 | 4 | |a Cognitive science | |
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Datensatz im Suchindex
| _version_ | 1804137554844319744 |
|---|---|
| adam_text | Table
of
Contents
Part
1
Foundations
1
The probabilistic mind: prospects for a Bayesian cognitive science
3
Nick
Chater &
Mike Oabford
2
A primer on probabilistic inference
33
Thomas
L
Griffiths
&
Alan Yuille
3
Rational analyses,
instrumentalism,
and implementations
59
David DanL·
Part
2
Inference and Argument
4
Framing effects and rationality
79
Shlomi Sher
&
Craig
R. M.
McKenzie
5
Probability logic and the Modus Ponens
—
Modus
Tollens
asymmetry
in conditional inference
97
Mike Oabford
&
Nick
Chater
6
Inference from absence in language and thought
121
Ulrike Hahn
é-
Mike Oaksford
7
Towards a rational theory of human information acquisition
143
Jonathan D. Nelson
8
Pseudocontingencies—A key paradigm for understanding adaptive
cognition
165
Klaus Fiedler
Part
3
Judgement and Decision-Making
9
Bayesian brains and cognitive mechanisms: harmony or
dissonance?
¡89
Henry Brighton
& Gerd Gigerenzer
10
The game of life: how small samples render choice simpler
209
Ralph Hertwig
&
Timothy J. Pleskac
11
The
naïve
intuitive statistician: organism
—
environment relations
from yet another angle
237
Patrik
Hansson,
Peter
Justín,
&
Anders Winman
12
A decision-by-sampling account of decision under risk
261
Neil Stewart
&
Keith Simpson
Vi
TABLE OF CONTENTS
13
The
neurodynamics
of choice, value-based decisions, and preference
reversal
277
Marius Usher,
Anat
Elhalal,
&
James L. McClelland
Part
4
Categorization and Memory
14
Categorization as nonparametric Bayesian density estimation
303
Thomas L. Griffiths, Adam
N.
Sanborn, Kevin R.
Canini,
&
Daniel J.
Navarro
15
Rational analysis as a link between human memory and information
retrieval
329
Mark Steyvers
&
Thomas L. Griffiths
16
Causality in time: explaining away the future and the past
351
David E. Huber
17
Compositionality in rational analysis: grammar-based induction for
concept learning
377
Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths,
&
Jacob
Veldman
Part
5
Learning about Contingency and Causality
18
Through the looking glass: a dynamic lens model approach to
multiple cue probability learning
409
Maarten Speekenbrink
&
David
R. ShanL·
19
Semi-rational models of conditioning: the case of trial order
431
Nathaniel D. Daw, Aaron
C. Courville,
&
Peter Dayan
20
Causal learning in rats and humans: a minimal rational model
453
Michael R.
Waldmann,
Patricia W. Cheng, York Hagmayer,
&
Aaron P. Blaisdell
21
The value of rational analysis: an assessment of causal reasoning
and learning
485
Steven Sloman
&
Philip M.
Fernbach
22
The probabilistic mind: where next?
501
Nick
Chater &
Mike Oabford
Index
515
|
| adam_txt |
Table
of
Contents
Part
1
Foundations
1
The probabilistic mind: prospects for a Bayesian cognitive science
3
Nick
Chater &
Mike Oabford
2
A primer on probabilistic inference
33
Thomas
L
Griffiths
&
Alan Yuille
3
Rational analyses,
instrumentalism,
and implementations
59
David DanL·
Part
2
Inference and Argument
4
Framing effects and rationality
79
Shlomi Sher
&
Craig
R. M.
McKenzie
5
Probability logic and the Modus Ponens
—
Modus
Tollens
asymmetry
in conditional inference
97
Mike Oabford
&
Nick
Chater
6
Inference from absence in language and thought
121
Ulrike Hahn
é-
Mike Oaksford
7
Towards a rational theory of human information acquisition
143
Jonathan D. Nelson
8
Pseudocontingencies—A key paradigm for understanding adaptive
cognition
165
Klaus Fiedler
Part
3
Judgement and Decision-Making
9
Bayesian brains and cognitive mechanisms: harmony or
dissonance?
¡89
Henry Brighton
& Gerd Gigerenzer
10
The game of life: how small samples render choice simpler
209
Ralph Hertwig
&
Timothy J. Pleskac
11
The
naïve
intuitive statistician: organism
—
environment relations
from yet another angle
237
Patrik
Hansson,
Peter
Justín,
&
Anders Winman
12
A decision-by-sampling account of decision under risk
261
Neil Stewart
&
Keith Simpson
Vi
TABLE OF CONTENTS
13
The
neurodynamics
of choice, value-based decisions, and preference
reversal
277
Marius Usher,
Anat
Elhalal,
&
James L. McClelland
Part
4
Categorization and Memory
14
Categorization as nonparametric Bayesian density estimation
303
Thomas L. Griffiths, Adam
N.
Sanborn, Kevin R.
Canini,
&
Daniel J.
Navarro
15
Rational analysis as a link between human memory and information
retrieval
329
Mark Steyvers
&
Thomas L. Griffiths
16
Causality in time: explaining away the future and the past
351
David E. Huber
17
Compositionality in rational analysis: grammar-based induction for
concept learning
377
Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths,
&
Jacob
Veldman
Part
5
Learning about Contingency and Causality
18
Through the looking glass: a dynamic lens model approach to
multiple cue probability learning
409
Maarten Speekenbrink
&
David
R. ShanL·
19
Semi-rational models of conditioning: the case of trial order
431
Nathaniel D. Daw, Aaron
C. Courville,
&
Peter Dayan
20
Causal learning in rats and humans: a minimal rational model
453
Michael R.
Waldmann,
Patricia W. Cheng, York Hagmayer,
&
Aaron P. Blaisdell
21
The value of rational analysis: an assessment of causal reasoning
and learning
485
Steven Sloman
&
Philip M.
Fernbach
22
The probabilistic mind: where next?
501
Nick
Chater &
Mike Oabford
Index
515 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T20:28:16Z |
| indexdate | 2024-07-09T21:14:09Z |
| institution | BVB |
| isbn | 9780199216093 |
| language | English |
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| spelling | The probabilistic mind prospects for Bayesian cognitive science ed. by Nick Chater ... 1. publ. Oxford [u.a.] Oxford Univ. Press 2008 VIII, 525 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier 'The Probabilistic Mind' brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods. Cognitiewetenschap gtt Methode van Bayes gtt Waarschijnlijkheid (statistiek) gtt Bayes Theorem Cognition Cognitive Science Cognitive psychology Cognitive science Kognitiver Prozess (DE-588)4140177-3 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 s Bayes-Verfahren (DE-588)4204326-8 s b DE-604 Chater, Nick Sonstige (DE-588)134185374 oth Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016436958&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | The probabilistic mind prospects for Bayesian cognitive science Cognitiewetenschap gtt Methode van Bayes gtt Waarschijnlijkheid (statistiek) gtt Bayes Theorem Cognition Cognitive Science Cognitive psychology Cognitive science Kognitiver Prozess (DE-588)4140177-3 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| subject_GND | (DE-588)4140177-3 (DE-588)4204326-8 |
| title | The probabilistic mind prospects for Bayesian cognitive science |
| title_auth | The probabilistic mind prospects for Bayesian cognitive science |
| title_exact_search | The probabilistic mind prospects for Bayesian cognitive science |
| title_exact_search_txtP | The probabilistic mind prospects for Bayesian cognitive science |
| title_full | The probabilistic mind prospects for Bayesian cognitive science ed. by Nick Chater ... |
| title_fullStr | The probabilistic mind prospects for Bayesian cognitive science ed. by Nick Chater ... |
| title_full_unstemmed | The probabilistic mind prospects for Bayesian cognitive science ed. by Nick Chater ... |
| title_short | The probabilistic mind |
| title_sort | the probabilistic mind prospects for bayesian cognitive science |
| title_sub | prospects for Bayesian cognitive science |
| topic | Cognitiewetenschap gtt Methode van Bayes gtt Waarschijnlijkheid (statistiek) gtt Bayes Theorem Cognition Cognitive Science Cognitive psychology Cognitive science Kognitiver Prozess (DE-588)4140177-3 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | Cognitiewetenschap Methode van Bayes Waarschijnlijkheid (statistiek) Bayes Theorem Cognition Cognitive Science Cognitive psychology Cognitive science Kognitiver Prozess Bayes-Verfahren |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016436958&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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