An Ontology of decision models (Record no. 3271)

MARC details
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fixed length control field 02089nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUCLARK
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240918124325.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240906b ph ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0033-295X
040 ## - CATALOGING SOURCE
Transcribing agency NUCLARK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name He, Lisheng.
Relator term author.
245 ## - TITLE STATEMENT
Title An Ontology of decision models
Statement of responsibility, etc. / Lisheng He, Wenjia Joyce Zhao, and Sudeep Bhatia.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Washington DC :
Name of publisher, distributor, etc. American Psychological Association,
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 49-72 pages :
Other physical details illustrations ;
Dimensions 28 cm.
365 ## - TRADE PRICE
Price amount $350.
500 ## - GENERAL NOTE
General note Published in Psychological Review, Volume 129 Issue 1, January 2022.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes appendices and bibliographical references (p. 60-62).
520 ## - SUMMARY, ETC.
Summary, etc. Decision models are essential theoretical tools in the study of choice behavior, but there is little consensus about the best model for describing choice, with different fields and different research programs favoring their own idiosyncratic sets of models. Even within a given field, decision models are seldom studied alongside each other, and insights obtained using 1 model are not typically generalized to others. We present the results of a large-scale computational analysis that uses landscaping techniques to generate a representational structure for describing decision models. Our analysis includes 89 prominent models of risky and intertemporal choice, and results in an ontology of decision models, interpretable in terms of model spaces, clusters, hierarchies, and graphs. We use this ontology to measure the properties of individual models and quantify the relationships between different models. Our results show how decades of quantitative research on human choice behavior can be synthesized within a single representational framework.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DECISION MAKING.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RISKY CHOICE.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INTERTEMPORAL CHOICE.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element METATHEORETICAL ANALYSIS.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MODELING.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhao, Wenjia Joyce.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bhatia, Sudeep.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1037/rev0000231">http://dx.doi.org/10.1037/rev0000231</a>
Public note Full text available with subscription.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Continuing Resources
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Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
    Library of Congress Classification     NU Clark NU Clark 09/06/2024   09/06/2024 09/06/2024 Continuing Resources

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