Utility functions predict variance and skewness risk preferences in monkeys
Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine ri...
Saved in:
Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 113; no. 30; pp. 8402 - 8407 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
26.07.2016
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine risk preferences. In turn, this approach requires formal definitions of risk. A standard approach is to focus on the variance of reward distributions (variance-risk). In this study, we also examined a form of risk related to the skewness of reward distributions (skewness-risk). Thus, we tested the extent to which empirically derived utility functions predicted preferences for variance-risk and skewness-risk in macaques. The expected utilities calculated for various symmetrical and skewed gambles served to define formally the direction of stochastic dominance between gambles. In direct choices, the animals’ preferences followed both second-order (variance) and third-order (skewness) stochastic dominance. Specifically, for gambles with different variance but identical expected values (EVs), the monkeys preferred high-variance gambles at low EVs and low-variance gambles at high EVs; in gambles with different skewness but identical EVs and variances, the animals preferred positively over symmetrical and negatively skewed gambles in a strongly transitive fashion. Thus, the utility functions predicted the animals’ preferences for variance-risk and skewness-risk. Using these well-defined forms of risk, this study shows that monkeys’ choices conform to the internal reward valuations suggested by their utility functions. This result implies a representation of utility in monkeys that accounts for both variance-risk and skewness-risk preferences. |
---|---|
AbstractList | Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine risk preferences. In turn, this approach requires formal definitions of risk. A standard approach is to focus on the variance of reward distributions (variance-risk). In this study, we also examined a form of risk related to the skewness of reward distributions (skewness-risk). Thus, we tested the extent to which empirically derived utility functions predicted preferences for variance-risk and skewness-risk in macaques. The expected utilities calculated for various symmetrical and skewed gambles served to define formally the direction of stochastic dominance between gambles. In direct choices, the animals' preferences followed both second-order (variance) and third-order (skewness) stochastic dominance. Specifically, for gambles with different variance but identical expected values (EVs), the monkeys preferred high-variance gambles at low EVs and low-variance gambles at high EVs; in gambles with different skewness but identical EVs and variances, the animals preferred positively over symmetrical and negatively skewed gambles in a strongly transitive fashion. Thus, the utility functions predicted the animals' preferences for variance-risk and skewness-risk. Using these well-defined forms of risk, this study shows that monkeys' choices conform to the internal reward valuations suggested by their utility functions. This result implies a representation of utility in monkeys that accounts for both variance-risk and skewness-risk preferences. Significance Utility, the key decision variable underlying economic choices, should represent risk, which is inherent to real-life decisions. We studied two prevalent forms of risk that are characterized by the spread (variance-risk) and asymmetry (skewness-risk) of rewards. We show that monkeys preferred higher variance and positively skewed gambles. Importantly, empirically estimated utility functions predicted both of these risk preferences. Thus, the abstract concept of utility seemed to explain primates’ choices under common forms of risk. Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine risk preferences. In turn, this approach requires formal definitions of risk. A standard approach is to focus on the variance of reward distributions (variance-risk). In this study, we also examined a form of risk related to the skewness of reward distributions (skewness-risk). Thus, we tested the extent to which empirically derived utility functions predicted preferences for variance-risk and skewness-risk in macaques. The expected utilities calculated for various symmetrical and skewed gambles served to define formally the direction of stochastic dominance between gambles. In direct choices, the animals’ preferences followed both second-order (variance) and third-order (skewness) stochastic dominance. Specifically, for gambles with different variance but identical expected values (EVs), the monkeys preferred high-variance gambles at low EVs and low-variance gambles at high EVs; in gambles with different skewness but identical EVs and variances, the animals preferred positively over symmetrical and negatively skewed gambles in a strongly transitive fashion. Thus, the utility functions predicted the animals’ preferences for variance-risk and skewness-risk. Using these well-defined forms of risk, this study shows that monkeys’ choices conform to the internal reward valuations suggested by their utility functions. This result implies a representation of utility in monkeys that accounts for both variance-risk and skewness-risk preferences. Utility, the key decision variable underlying economic choices, should represent risk, which is inherent to real-life decisions. We studied two prevalent forms of risk that are characterized by the spread (variance-risk) and asymmetry (skewness-risk) of rewards. We show that monkeys preferred higher variance and positively skewed gambles. Importantly, empirically estimated utility functions predicted both of these risk preferences. Thus, the abstract concept of utility seemed to explain primates’ choices under common forms of risk. Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine risk preferences. In turn, this approach requires formal definitions of risk. A standard approach is to focus on the variance of reward distributions (variance-risk). In this study, we also examined a form of risk related to the skewness of reward distributions (skewness-risk). Thus, we tested the extent to which empirically derived utility functions predicted preferences for variance-risk and skewness-risk in macaques. The expected utilities calculated for various symmetrical and skewed gambles served to define formally the direction of stochastic dominance between gambles. In direct choices, the animals’ preferences followed both second-order (variance) and third-order (skewness) stochastic dominance. Specifically, for gambles with different variance but identical expected values (EVs), the monkeys preferred high-variance gambles at low EVs and low-variance gambles at high EVs; in gambles with different skewness but identical EVs and variances, the animals preferred positively over symmetrical and negatively skewed gambles in a strongly transitive fashion. Thus, the utility functions predicted the animals’ preferences for variance-risk and skewness-risk. Using these well-defined forms of risk, this study shows that monkeys’ choices conform to the internal reward valuations suggested by their utility functions. This result implies a representation of utility in monkeys that accounts for both variance-risk and skewness-risk preferences. |
Author | Schultz, Wolfram Genest, Wilfried Stauffer, William R. |
Author_xml | – sequence: 1 givenname: Wilfried surname: Genest fullname: Genest, Wilfried organization: Department of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge CB2 3DY, United Kingdom – sequence: 2 givenname: William R. surname: Stauffer fullname: Stauffer, William R. organization: Systems Neuroscience Institute, Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15261 – sequence: 3 givenname: Wolfram surname: Schultz fullname: Schultz, Wolfram organization: Department of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge CB2 3DY, United Kingdom |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27402743$$D View this record in MEDLINE/PubMed |
BookMark | eNpdkb1vFDEQxS2UiFwCNRVoJRqaTcbf3gYpivhSItGQ2vL6vOC7Pfvw7Abdf49PFxKSaor3m6c3807JUcopEPKGwjkFzS-2yeE5VcAY1ZTyF2RBoaOtEh0ckQUA060RTJyQU8QVAHTSwEtywrSokuALcn07xTFOu2aYk59iTthsS1hGPzV3rkSXfGhcWja4Dn9SQGxKxPUeGUIJVcQmpmaT0zrs8BU5HtyI4fX9PCO3nz_9uPra3nz_8u3q8qb1UrCp1cAGDWbgve81eEaNcEbr3vVUOa5kL4VjUigPEMBzJjtuvNZDJ9lSm8D5Gfl48N3O_SYsfUhTcaPdlrhxZWezi_apkuIv-zPfWdEpo5moBh_uDUr-PQec7CaiD-PoUsgzWmpAGwOdgIq-f4au8lxSPW9PdSC1YrJSFwfKl4xYn_MQhoLdF2X3RdnHourGu_9veOD_NVOBtwdghVMuj7oSugZT_C96C5rJ |
CitedBy_id | crossref_primary_10_1016_j_cub_2021_10_015 crossref_primary_10_1016_j_cognition_2021_104764 crossref_primary_10_1073_pnas_2317751121 crossref_primary_10_1038_s41467_019_12792_4 crossref_primary_10_1111_brv_13031 crossref_primary_10_1016_j_conb_2017_03_013 crossref_primary_10_1007_s11166_022_09388_7 crossref_primary_10_1523_JNEUROSCI_0115_23_2023 crossref_primary_10_1523_JNEUROSCI_1275_21_2021 crossref_primary_10_1007_s00702_017_1793_9 crossref_primary_10_7554_eLife_44838 crossref_primary_10_1007_s00265_016_2234_8 crossref_primary_10_1073_pnas_1811259115 crossref_primary_10_1093_jeea_jvz035 crossref_primary_10_1007_s10340_021_01409_9 crossref_primary_10_1002_bdm_2372 crossref_primary_10_1073_pnas_1612010114 crossref_primary_10_1371_journal_pcbi_1009452 crossref_primary_10_2139_ssrn_3598157 crossref_primary_10_1016_j_conb_2018_02_005 crossref_primary_10_2139_ssrn_3962167 crossref_primary_10_1038_s41598_019_51442_z crossref_primary_10_1007_s11299_024_00304_x crossref_primary_10_1126_sciadv_ade7972 crossref_primary_10_1038_s41598_019_46975_2 crossref_primary_10_1016_j_cobeha_2021_03_021 crossref_primary_10_1371_journal_pcbi_1007047 crossref_primary_10_2139_ssrn_3904348 crossref_primary_10_1002_bdm_2241 crossref_primary_10_1007_s10071_021_01560_x crossref_primary_10_1038_s41386_021_01079_2 crossref_primary_10_3389_fnbeh_2018_00068 crossref_primary_10_3389_fnbeh_2018_00101 |
Cites_doi | 10.1152/jn.00471.2011 10.1016/S0165-1765(98)00231-6 10.2307/2525760 10.1007/BF00270694 10.1016/j.cub.2014.08.064 10.1016/B978-0-12-416008-8.00009-7 10.1523/JNEUROSCI.3726-05.2005 10.2307/2295745 10.1523/JNEUROSCI.4419-11.2012 10.2307/1907921 10.1073/pnas.1321596111 10.1257/jep.1.1.121 10.1146/annurev-neuro-061010-113648 10.1152/jn.1982.48.1.217 10.1371/journal.pone.0016838 10.1098/rsbl.2013.0902 10.2307/1914185 10.1086/257177 10.1257/000282802762024700 10.1057/grir.2009.9 10.1523/JNEUROSCI.3653-14.2015 10.1016/S0003-3472(84)80326-7 10.1016/0022-0531(70)90038-4 10.1038/nn1523 10.2307/2998573 10.1073/pnas.1308718110 10.1086/257106 10.1016/j.neuron.2010.09.031 |
ContentType | Journal Article |
Copyright | Volumes 1–89 and 106–113, copyright as a collective work only; author(s) retains copyright to individual articles Copyright National Academy of Sciences Jul 26, 2016 |
Copyright_xml | – notice: Volumes 1–89 and 106–113, copyright as a collective work only; author(s) retains copyright to individual articles – notice: Copyright National Academy of Sciences Jul 26, 2016 |
DBID | CGR CUY CVF ECM EIF NPM AAYXX CITATION 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 5PM |
DOI | 10.1073/pnas.1602217113 |
DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed CrossRef Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Neurosciences Abstracts Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Virology and AIDS Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database AIDS and Cancer Research Abstracts Algology Mycology and Protozoology Abstracts (Microbiology C) Biotechnology and BioEngineering Abstracts Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) CrossRef Virology and AIDS Abstracts Oncogenes and Growth Factors Abstracts Technology Research Database Nucleic Acids Abstracts Ecology Abstracts Neurosciences Abstracts Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management Entomology Abstracts Genetics Abstracts Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) AIDS and Cancer Research Abstracts Chemoreception Abstracts Immunology Abstracts Engineering Research Database Calcium & Calcified Tissue Abstracts MEDLINE - Academic |
DatabaseTitleList | Virology and AIDS Abstracts CrossRef MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Sciences (General) |
DocumentTitleAlternate | Utility and different risk preferences in monkeys |
EISSN | 1091-6490 |
EndPage | 8407 |
ExternalDocumentID | 4138673171 10_1073_pnas_1602217113 27402743 26470946 |
Genre | Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural Feature |
GrantInformation_xml | – fundername: Wellcome Trust grantid: 093875 – fundername: NIMH NIH HHS grantid: P50 MH094258 – fundername: HHS | NIH | National Institute of Mental Health (NIMH) grantid: P50MH094258 – fundername: Wellcome Trust grantid: 095495 |
GroupedDBID | --- -DZ -~X .55 0R~ 123 29P 2AX 2FS 2WC 4.4 53G 5RE 5VS 85S AACGO AAFWJ AANCE ABBHK ABOCM ABPLY ABPPZ ABTLG ABXSQ ABZEH ACGOD ACIWK ACNCT ACPRK ADACV ADULT AENEX AEUPB AEXZC AFFNX AFOSN AFRAH ALMA_UNASSIGNED_HOLDINGS AQVQM BKOMP CS3 D0L DCCCD DIK DOOOF DU5 E3Z EBS EJD F5P FRP GX1 H13 HH5 HYE IPSME JAAYA JBMMH JENOY JHFFW JKQEH JLS JLXEF JPM JSG JSODD JST KQ8 L7B LU7 N9A N~3 O9- OK1 PNE PQQKQ R.V RHF RHI RNA RNS RPM RXW SA0 SJN TAE TN5 UKR VQA W8F WH7 WOQ WOW X7M XSW Y6R YBH YKV YSK ZCA ~02 ~KM CGR CUY CVF ECM EIF NPM AAYXX CITATION 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 5PM |
ID | FETCH-LOGICAL-c542t-702f708f3bcb70c2184a877bab16a365b54a2546c00e0c325938c77f952d78e33 |
IEDL.DBID | RPM |
ISSN | 0027-8424 |
IngestDate | Tue Sep 17 21:09:27 EDT 2024 Sat Aug 17 03:50:56 EDT 2024 Thu Oct 10 16:16:33 EDT 2024 Fri Aug 23 01:52:22 EDT 2024 Tue Aug 27 13:47:20 EDT 2024 Sun Nov 10 16:43:19 EST 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 30 |
Keywords | neuroeconomics experimental economics choice stochastic dominance decision making |
Language | English |
License | Freely available online through the PNAS open access option. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c542t-702f708f3bcb70c2184a877bab16a365b54a2546c00e0c325938c77f952d78e33 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by Charles R. Gallistel, Rutgers University, Piscataway, NJ, and approved May 19, 2016 (received for review February 9, 2016) Author contributions: W.G., W.R.S., and W.S., designed research; W.G. performed research; W.G. analyzed data; and W.G. and W.S. wrote the paper. |
OpenAccessLink | https://www.pnas.org/content/pnas/113/30/8402.full.pdf |
PMID | 27402743 |
PQID | 1809057625 |
PQPubID | 42026 |
PageCount | 6 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_4968724 proquest_miscellaneous_1807880940 proquest_journals_1809057625 crossref_primary_10_1073_pnas_1602217113 pubmed_primary_27402743 jstor_primary_26470946 |
PublicationCentury | 2000 |
PublicationDate | 2016-07-26 |
PublicationDateYYYYMMDD | 2016-07-26 |
PublicationDate_xml | – month: 07 year: 2016 text: 2016-07-26 day: 26 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Washington |
PublicationTitle | Proceedings of the National Academy of Sciences - PNAS |
PublicationTitleAlternate | Proc Natl Acad Sci U S A |
PublicationYear | 2016 |
Publisher | National Academy of Sciences |
Publisher_xml | – name: National Academy of Sciences |
References | 16291931 - J Neurosci. 2005 Nov 16;25(46):10577-97 24019461 - Proc Natl Acad Sci U S A. 2013 Sep 24;110(39):15788-93 25698750 - J Neurosci. 2015 Feb 18;35(7):3146-54 3609205 - Exp Brain Res. 1987;66(3):607-20 24335272 - Biol Lett. 2013 Dec 11;9(6):20130902 22378869 - J Neurosci. 2012 Feb 29;32(9):2950-63 21456961 - Annu Rev Neurosci. 2011;34:333-59 25283778 - Curr Biol. 2014 Nov 3;24(21):2491-500 24453218 - Proc Natl Acad Sci U S A. 2014 Feb 11;111(6):2343-8 7119846 - J Neurophysiol. 1982 Jul;48(1):217-37 21849610 - J Neurophysiol. 2011 Nov;106(5):2415-22 21347239 - PLoS One. 2011 Feb 15;6(2):e16838 21092866 - Neuron. 2010 Nov 18;68(4):789-800 16116449 - Nat Neurosci. 2005 Sep;8(9):1220-7 Grether DM (e_1_3_3_12_2) 1979; 69 Luce DR (e_1_3_3_35_2) 2000 e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_18_2 e_1_3_3_13_2 e_1_3_3_15_2 Von Neumann J (e_1_3_3_10_2) 1944 e_1_3_3_14_2 e_1_3_3_32_2 e_1_3_3_33_2 e_1_3_3_30_2 Menezes C (e_1_3_3_11_2) 1980; 70 e_1_3_3_31_2 Slovic S (e_1_3_3_27_2) 1983; 73 e_1_3_3_6_2 e_1_3_3_5_2 Snedecor GW (e_1_3_3_34_2) 1989 e_1_3_3_8_2 e_1_3_3_7_2 Mas-Colell A (e_1_3_3_17_2) 1995 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_23_2 e_1_3_3_26_2 e_1_3_3_25_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_1_2 e_1_3_3_4_2 e_1_3_3_22_2 e_1_3_3_3_2 e_1_3_3_21_2 |
References_xml | – ident: e_1_3_3_26_2 doi: 10.1152/jn.00471.2011 – ident: e_1_3_3_14_2 doi: 10.1016/S0165-1765(98)00231-6 – ident: e_1_3_3_13_2 doi: 10.2307/2525760 – ident: e_1_3_3_32_2 doi: 10.1007/BF00270694 – ident: e_1_3_3_8_2 doi: 10.1016/j.cub.2014.08.064 – volume-title: Extension of the Analysis of Variance. Statistical Methods year: 1989 ident: e_1_3_3_34_2 contributor: fullname: Snedecor GW – ident: e_1_3_3_29_2 doi: 10.1016/B978-0-12-416008-8.00009-7 – ident: e_1_3_3_31_2 doi: 10.1523/JNEUROSCI.3726-05.2005 – ident: e_1_3_3_15_2 doi: 10.2307/2295745 – ident: e_1_3_3_5_2 doi: 10.1523/JNEUROSCI.4419-11.2012 – ident: e_1_3_3_20_2 doi: 10.2307/1907921 – ident: e_1_3_3_7_2 doi: 10.1073/pnas.1321596111 – ident: e_1_3_3_16_2 doi: 10.1257/jep.1.1.121 – ident: e_1_3_3_19_2 doi: 10.1146/annurev-neuro-061010-113648 – ident: e_1_3_3_33_2 doi: 10.1152/jn.1982.48.1.217 – volume-title: Utility of Gains and Losses: Measurement-Theoretic and Experimental Approaches year: 2000 ident: e_1_3_3_35_2 contributor: fullname: Luce DR – ident: e_1_3_3_25_2 doi: 10.1371/journal.pone.0016838 – ident: e_1_3_3_24_2 doi: 10.1098/rsbl.2013.0902 – volume-title: Microeconomic Theory year: 1995 ident: e_1_3_3_17_2 contributor: fullname: Mas-Colell A – ident: e_1_3_3_21_2 doi: 10.2307/1914185 – volume: 73 start-page: 596 year: 1983 ident: e_1_3_3_27_2 article-title: Preference reversals: A broader perspective publication-title: Am Econ Rev contributor: fullname: Slovic S – ident: e_1_3_3_28_2 doi: 10.1086/257177 – ident: e_1_3_3_1_2 doi: 10.1257/000282802762024700 – volume: 69 start-page: 623 year: 1979 ident: e_1_3_3_12_2 article-title: Economic theory of choice and the preference reversal phenomenon publication-title: Am Econ Rev contributor: fullname: Grether DM – ident: e_1_3_3_18_2 doi: 10.1057/grir.2009.9 – ident: e_1_3_3_23_2 doi: 10.1523/JNEUROSCI.3653-14.2015 – ident: e_1_3_3_2_2 doi: 10.1016/S0003-3472(84)80326-7 – volume-title: Theory of Games and Economic Behavior year: 1944 ident: e_1_3_3_10_2 contributor: fullname: Von Neumann J – ident: e_1_3_3_9_2 doi: 10.1016/0022-0531(70)90038-4 – ident: e_1_3_3_3_2 doi: 10.1038/nn1523 – ident: e_1_3_3_22_2 doi: 10.2307/2998573 – ident: e_1_3_3_6_2 doi: 10.1073/pnas.1308718110 – ident: e_1_3_3_30_2 doi: 10.1086/257106 – volume: 70 start-page: 921 year: 1980 ident: e_1_3_3_11_2 article-title: Increasing downside risk publication-title: Am Econ Rev contributor: fullname: Menezes C – ident: e_1_3_3_4_2 doi: 10.1016/j.neuron.2010.09.031 |
SSID | ssj0009580 |
Score | 2.4382796 |
Snippet | Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a... Significance Utility, the key decision variable underlying economic choices, should represent risk, which is inherent to real-life decisions. We studied two... Utility, the key decision variable underlying economic choices, should represent risk, which is inherent to real-life decisions. We studied two prevalent forms... |
SourceID | pubmedcentral proquest crossref pubmed jstor |
SourceType | Open Access Repository Aggregation Database Index Database Publisher |
StartPage | 8402 |
SubjectTerms | Animal behavior Animals Biological Sciences Choice Behavior - physiology Decision Making - physiology Logistic Models Macaca mulatta - physiology Macaca mulatta - psychology Male Models, Statistical Monkeys & apes Photic Stimulation Reward Risk assessment Risk-Taking Social Sciences Stochastic models Utility functions |
Title | Utility functions predict variance and skewness risk preferences in monkeys |
URI | https://www.jstor.org/stable/26470946 https://www.ncbi.nlm.nih.gov/pubmed/27402743 https://www.proquest.com/docview/1809057625 https://search.proquest.com/docview/1807880940 https://pubmed.ncbi.nlm.nih.gov/PMC4968724 |
Volume | 113 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LTtwwFL0CVmxQKY8GKDISC7oIk_F7lhUq4iGqLjoSu8j22OqoxYxIoOrf99pJhk7VVde2o-g-7HPs62OA06CtVzjvldTwquRShNI6ocvAOXXoZVf5rPb5WV5N-c29uF8DMdyFyUX7zs7P44-H8zj_lmsrFw9uNNSJjb7cXfCJ1Iry0TqsY4AOFH2ptKu7eycUp19O-aDno9hoEU2TtlMo4vDxOD2hg5ws8TK2sip1hYn_gpx_V07-sRRdvoGtHkOSj92_bsOaj29hu8_Shpz1UtIfduB22qba118kLV85wsjiKR3NtOQFSXLyODFxRprv_mea80iqNE9d-luADZlHgoGKmd7swvTy09eLq7J_PqF0gtO2VBUNqtKBWWdV5RKXM1opa-xYGiaFFdwkNXx0ia8cQx7EtFMqTASdKe0Z24ON-Bj9OyCSuxCUC-PKIX4SM8OY15Yy4T1FhuYKOBvMVy86lYw6n24rViej169GL2Avm3fZDxGZQo4pCzga7F33eYTjdDVBRIkkrYCTZTNmQDrWMNE_Puc-yOOTDmAB-517Xj_e-7cAteK4ZYekrr3agkGXVbb7IDv475GHsInoSqaNYCqPYKN9evbvEcG09hix-_XtcY7b360r7_s |
link.rule.ids | 230,315,730,783,787,888,27936,27937,53804,53806 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LbxMxEB6VcoALUKCwUMBIHMphE8fvHFFFFehDHBrU28p2vGpU6kbdTSv49Yz3kZKKC5w9u5L1zYzns8efAT6UxgWNeS9nVtBcKFnmzkuTl0Iwjyh7Ghq1z2M1mYqvp_J0A2R_F6Zp2vduPog_LgZxftb0Vi4u_LDvExt-O9oTY2U0E8N7cB_jlYqepK-0dk1784RhAhZM9Io-mg8X0VZpQ4VhJT4apUd0kJUlZsbX1qW2NfFvRefd3sk_FqP9x_C9n0bbg3I-WNZu4H_dUXj853k-gUddeUo-tcNbsBHiU9jqEkBFdjuV6o_P4GBap7banyStjI3zksVVOvWpyTXy7-RMxMYZqc7DTUqnJDWxJ5PugmFF5pFgDGASqZ7DdP_zyd4k715myL0UrM41ZaWmpuTOO019oonWaO2sGynLlXRS2CS0j2gH6jlSLG681uVYspk2gfNt2IyXMbwEooQvS-3LEfVYmsmZ5TwYx7gMgSH58xns9rgUi1aAo2gOzjUvEprFLZoZbDe4reyw2NNIX1UGOz2QRRei-J2hYyxWkf9l8H41jMGVTkxsDJfLxkZjghsLmsGLFvfbn3eOk4Fe84iVQRLuXh9BnBsB7w7XV__95Tt4MDk5OiwOvxwfvIaHWMSptN_M1A5s1lfL8AYLpdq9bcLiN67FEQ8 |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nb9QwEB1BkRAXaIFCoAUjcSiHbLy2Y3uPqO2qUKh6YKWKS2R7bbEqTaMmC4Jfzzgf227FqWdPIllvZjzPHj8DvA_aeoV5L2VG0FTIPKTW5ToNQjCHKDvqW7XPE3k0E5_P8rMbT321TfvOLkblz4tRufjR9lZWFy4b-sSy06_7YiK1YiKr5iG7Dw8wZqkciPpKb1d3t08YJmHBxKDqo3hWlaaOmyoMq_HxOD6kg8wssjO-tjZ17Yn_Kzxv90_eWJCmT-D7MJWuD-V8tGzsyP29pfJ4p7luwuO-TCUfO5MtuOfLp7DVJ4Ka7PVq1R-ewfGsie21f0hcIVsnJtVVPP1pyC_k4dGpiCnnpD73v2NaJbGZPZr0Fw1rsigJxgImk_o5zKaH3_aP0v6FhtTlgjWpoiwoqgO3zirqIl00Wilr7FgaLnObCxMF9xF1Tx1HqsW1UypMcjZX2nO-DRvlZelfApHChaBcGFOHJVo-N5x7bRnPvWdIAl0CewM2RdUJcRTtAbriRUS0uEY0ge0Wu5UdFn0KaaxMYGcAs-hDFb_TdIJFK_LABN6thjHI4smJKf3lsrVRmOgmgibwosP--ue98ySg1rxiZRAFvNdHEOtWyLvH9tWdv3wLD08PpsWXTyfHr-ER1nIybjszuQMbzdXS72K91Ng3bWT8A0dEE48 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Utility+functions+predict+variance+and+skewness+risk+preferences+in+monkeys&rft.jtitle=Proceedings+of+the+National+Academy+of+Sciences+-+PNAS&rft.au=Genest%2C+Wilfried&rft.au=Stauffer%2C+William+R.&rft.au=Schultz%2C+Wolfram&rft.date=2016-07-26&rft.pub=National+Academy+of+Sciences&rft.issn=0027-8424&rft.eissn=1091-6490&rft.volume=113&rft.issue=30&rft.spage=8402&rft.epage=8407&rft_id=info:doi/10.1073%2Fpnas.1602217113&rft_id=info%3Apmid%2F27402743&rft.externalDBID=PMC4968724 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0027-8424&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0027-8424&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0027-8424&client=summon |