Cultural evolution of conformity and anticonformity
Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed...
Saved in:
Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 117; no. 24; pp. 13603 - 13614 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
16.06.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson’s original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman’s modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformistand anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general. |
---|---|
AbstractList | The evolutionary dynamics of cultural variants under conformist- and anticonformist-biased transmission have implications for humans and nonhuman animals. Humans display both conformist and anticonformist biases, and models of conformist-biased transmission have been proposed to explain large-scale human cooperation. Nonhuman animals have been shown to display conformist biases in mating and foraging decisions. Here, we investigate established mathematical models of conformist and anticonformist bias with and without selection and find complex dynamics, including multiple stable polymorphic equilibria, stable cycles, and chaos. Using modifier theory, we show that evolution will reduce anticonformist bias against a culturally advantageous variant. Migration between subpopulations subject to different selection and conformity pressures can produce interesting polymorphisms or eliminate between-group differences.
Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson’s original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman’s modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformist- and anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general. Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson's original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman's modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformist- and anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general.Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson's original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman's modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformist- and anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general. Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson's original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman's modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformist- and anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general. Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs when the reverse is true. Conformist and anticonformist bias have been widely documented in humans, and conformist bias has also been observed in many nonhuman animals. Boyd and Richerson used models of conformist and anticonformist bias to explain the evolution of large-scale cooperation, and subsequent research has extended these models. We revisit Boyd and Richerson’s original analysis and show that, with conformity based on more than three role models, the evolutionary dynamics can be more complex than previously assumed. For example, we show the presence of stable cycles and chaos under strong anticonformity and the presence of new equilibria when both conformity and anticonformity act at different variant frequencies, with and without selection. We also investigate the case of population subdivision with migration and find that the common claim that conformity can maintain between-group differences is not always true. Therefore, the effect of conformity on the evolution of cooperation by group selection may be more complicated than previously stated. Finally, using Feldman and Liberman’s modifier approach, we investigate the conditions under which a rare modifier of the extent of conformity or the number of role models can invade a population. Understanding the dynamics of conformistand anticonformist-biased transmission may have implications for research on human and nonhuman animal behavior, the evolution of cooperation, and frequency-dependent transmission in general. |
Author | Denton, Kaleda Krebs Ram, Yoav Feldman, Marcus W. Liberman, Uri |
Author_xml | – sequence: 1 givenname: Kaleda Krebs surname: Denton fullname: Denton, Kaleda Krebs – sequence: 2 givenname: Yoav surname: Ram fullname: Ram, Yoav – sequence: 3 givenname: Uri surname: Liberman fullname: Liberman, Uri – sequence: 4 givenname: Marcus W. surname: Feldman fullname: Feldman, Marcus W. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32461360$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kc1PGzEQxa0KVALtuSdQpF56CYw_13tBqqK2ICFxgbPl9c62jjZ2sL1I_Pd1FBoKBw6WLfv3Zt74HZODEAMS8oXCOYWGX2yCzecMQFBglDYfyIxCSxdKtHBAZgCsWWjBxBE5znkFAK3U8JEccSYU5QpmhC-nsUzJjnN8jONUfAzzOMxdDENMa1-e5jb0dRX_cvWJHA52zPj5eT8h9z9_3C2vFje3v66X328WTgheqolOoZYMmkGgdLJF4azQLTYDlcgQdU-lHrhwjmGvwXbMqq7r67kTA6P8hFzu6m6mbo29w1CqUbNJfm3Tk4nWm9cvwf8xv-OjaTgoTbcFvj0XSPFhwlzM2meH42gDxikbJqCRmoFsKvr1DbqKUwp1vEpRAUJxyip19r-jvZV__1mBix3gUsw54bBHKJhtYmabmHlJrCrkG4XzxW5zqCP58R3d6U63yiWmfRumWqVlnf0vFduk9w |
CitedBy_id | crossref_primary_10_1073_pnas_2418364121 crossref_primary_10_1038_s41598_023_47835_w crossref_primary_10_1073_pnas_2107204118 crossref_primary_10_1111_ele_14184 crossref_primary_10_1016_j_tpb_2023_12_003 crossref_primary_10_1093_ej_ueae085 crossref_primary_10_1073_pnas_2412380122 crossref_primary_10_1098_rstb_2021_0400 crossref_primary_10_1016_j_jtbi_2023_111429 crossref_primary_10_1177_1354067X241236722 crossref_primary_10_1080_14790718_2022_2144868 crossref_primary_10_1086_724491 crossref_primary_10_1038_s41562_024_02035_y crossref_primary_10_1098_rspb_2020_3107 crossref_primary_10_1016_j_chaos_2024_114742 crossref_primary_10_1098_rsif_2022_0570 crossref_primary_10_1098_rspb_2022_1951 crossref_primary_10_1371_journal_pcbi_1012619 crossref_primary_10_1073_pnas_2205914119 crossref_primary_10_1007_s12110_022_09435_x crossref_primary_10_1073_pnas_2322874121 crossref_primary_10_1103_PhysRevResearch_2_043352 crossref_primary_10_1016_j_tpb_2021_10_004 crossref_primary_10_1016_j_tpb_2023_06_001 crossref_primary_10_1038_s41598_021_02677_2 crossref_primary_10_1007_s12144_022_03399_y crossref_primary_10_1098_rspb_2023_1634 crossref_primary_10_1073_pnas_2414291121 crossref_primary_10_1017_ehs_2021_29 crossref_primary_10_1017_ehs_2024_2 crossref_primary_10_1017_ehs_2024_37 crossref_primary_10_1063_5_0210787 crossref_primary_10_1002_ecm_1483 crossref_primary_10_1098_rsos_230650 crossref_primary_10_1007_s10816_022_09548_8 crossref_primary_10_1057_s41599_022_01095_7 crossref_primary_10_1073_pnas_2322885121 crossref_primary_10_1111_brv_12899 crossref_primary_10_1073_pnas_2417078122 |
Cites_doi | 10.1016/j.anbehav.2003.11.015 10.1098/rsbl.2009.1014 10.1007/s12110-016-9275-6 10.1016/S1090-5138(98)00018-X 10.1371/journal.pone.0205573 10.1007/s00265-010-1100-3 10.1016/j.evolhumbehav.2015.05.004 10.1016/j.anbehav.2015.07.030 10.1098/rspb.2011.1172 10.1016/j.crhy.2019.05.002 10.3390/e21050521 10.1016/j.tpb.2019.12.004 10.1038/nature13998 10.1016/j.tpb.2007.03.003 10.1073/pnas.83.13.4824 10.1016/j.anbehav.2007.11.012 10.1525/aa.2001.103.4.992 10.1038/nature04047 10.1016/S1090-5138(02)00101-0 10.1016/j.evolhumbehav.2007.08.003 10.1007/BF01531189 10.1093/beheco/arh008 10.1007/BF02980577 10.1126/science.aat1590 10.1371/journal.pone.0166323 10.1016/0040-5809(82)90029-6 10.2307/1943165 10.1016/j.tpb.2007.04.003 10.1016/j.jtbi.2013.04.023 10.1016/j.tpb.2013.09.010 10.1111/desc.12231 10.1007/s10955-013-0701-4 10.1126/science.7123211 10.1006/jtbi.2000.2202 10.1073/pnas.1619655114 10.1016/j.jtbi.2009.05.029 10.1073/pnas.1621067114 10.1016/S0167-2681(03)00094-5 10.1098/rstb.2010.0046 10.1126/science.1232769 10.1163/156853702320281836 10.1016/j.evolhumbehav.2014.02.003 10.1016/j.evolhumbehav.2012.07.005 10.1006/anbe.1998.0760 |
ContentType | Journal Article |
Copyright | Copyright © 2020 the Author(s). Published by PNAS. Copyright National Academy of Sciences Jun 16, 2020 Copyright © 2020 the Author(s). Published by PNAS. 2020 |
Copyright_xml | – notice: Copyright © 2020 the Author(s). Published by PNAS. – notice: Copyright National Academy of Sciences Jun 16, 2020 – notice: Copyright © 2020 the Author(s). Published by PNAS. 2020 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 5PM |
DOI | 10.1073/pnas.2004102117 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed 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 | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) 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 | CrossRef MEDLINE - Academic Virology and AIDS Abstracts 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) |
EISSN | 1091-6490 |
EndPage | 13614 |
ExternalDocumentID | PMC7306811 32461360 10_1073_pnas_2004102117 26968511 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
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 ACHIC ACIWK ACNCT ACPRK ADQXQ AENEX AEUPB AEXZC AFFNX AFOSN AFRAH ALMA_UNASSIGNED_HOLDINGS AQVQM BKOMP CS3 D0L DCCCD DIK DU5 E3Z EBS F5P FRP GX1 H13 HH5 HYE IPSME JAAYA JBMMH JENOY JHFFW JKQEH JLS JLXEF JPM JSG JST KQ8 L7B LU7 N9A N~3 O9- OK1 PNE PQQKQ R.V RHI RNA RNS RPM RXW SA0 SJN TAE TN5 UKR W8F WH7 WOQ WOW X7M XSW Y6R YBH YKV YSK ZCA ~02 ~KM AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 5PM |
ID | FETCH-LOGICAL-c443t-64b6e85207f4e5c59e4ca489e7f15e2ee8d158f34cc2ed80ab2a6bbded8b4f213 |
ISSN | 0027-8424 1091-6490 |
IngestDate | Thu Aug 21 13:14:24 EDT 2025 Fri Jul 11 07:37:13 EDT 2025 Mon Jun 30 09:58:08 EDT 2025 Thu Apr 03 06:59:14 EDT 2025 Thu Apr 24 23:01:12 EDT 2025 Tue Jul 01 03:40:22 EDT 2025 Thu May 29 09:12:22 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 24 |
Keywords | migration multiple equilibria conformity modifiers population differentiation |
Language | English |
License | Copyright © 2020 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c443t-64b6e85207f4e5c59e4ca489e7f15e2ee8d158f34cc2ed80ab2a6bbded8b4f213 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Contributed by Marcus W. Feldman, April 10, 2020 (sent for review March 4, 2020; reviewed by Jeremy R. Kendal and Mark M. Tanaka) Reviewers: J.R.K., University of Durham; and M.M.T., University of New South Wales. Author contributions: U.L. and M.W.F. designed research; K.K.D., Y.R., U.L., and M.W.F. performed research; and K.K.D., Y.R., U.L., and M.W.F. wrote the paper. |
ORCID | 0000-0002-9653-4458 0000-0001-9779-529X |
OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC7306811 |
PMID | 32461360 |
PQID | 2414046312 |
PQPubID | 42026 |
PageCount | 12 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_7306811 proquest_miscellaneous_2407582057 proquest_journals_2414046312 pubmed_primary_32461360 crossref_primary_10_1073_pnas_2004102117 crossref_citationtrail_10_1073_pnas_2004102117 jstor_primary_26968511 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2020-06-16 |
PublicationDateYYYYMMDD | 2020-06-16 |
PublicationDate_xml | – month: 06 year: 2020 text: 2020-06-16 day: 16 |
PublicationDecade | 2020 |
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 | 2020 |
Publisher | National Academy of Sciences |
Publisher_xml | – name: National Academy of Sciences |
References | Karlin S. (e_1_3_3_37_2) 1982; 14 Rogers E. M. (e_1_3_3_44_2) 2010 e_1_3_3_17_2 e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_38_2 e_1_3_3_18_2 e_1_3_3_39_2 e_1_3_3_13_2 e_1_3_3_36_2 e_1_3_3_12_2 e_1_3_3_15_2 e_1_3_3_34_2 e_1_3_3_14_2 e_1_3_3_35_2 e_1_3_3_32_2 Cavalli-Sforza L. L. (e_1_3_3_1_2) 1981 e_1_3_3_33_2 e_1_3_3_11_2 e_1_3_3_30_2 e_1_3_3_10_2 e_1_3_3_31_2 e_1_3_3_40_2 Boyd R. (e_1_3_3_3_2) 1985 e_1_3_3_6_2 e_1_3_3_5_2 e_1_3_3_8_2 e_1_3_3_7_2 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_27_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_47_2 e_1_3_3_23_2 e_1_3_3_48_2 e_1_3_3_26_2 e_1_3_3_45_2 e_1_3_3_25_2 e_1_3_3_46_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_43_2 e_1_3_3_4_2 e_1_3_3_22_2 e_1_3_3_41_2 e_1_3_3_21_2 e_1_3_3_42_2 |
References_xml | – ident: e_1_3_3_12_2 doi: 10.1016/j.anbehav.2003.11.015 – volume: 14 start-page: 204 year: 1982 ident: e_1_3_3_37_2 article-title: Classifications of selection-migration structures and conditions for a protected polymorphism publication-title: Evol. Biol. – ident: e_1_3_3_16_2 doi: 10.1098/rsbl.2009.1014 – ident: e_1_3_3_28_2 doi: 10.1007/s12110-016-9275-6 – ident: e_1_3_3_4_2 doi: 10.1016/S1090-5138(98)00018-X – ident: e_1_3_3_48_2 doi: 10.1371/journal.pone.0205573 – ident: e_1_3_3_39_2 doi: 10.1007/s00265-010-1100-3 – volume-title: Cultural Transmission and Evolution: A Quantitative Approach year: 1981 ident: e_1_3_3_1_2 – ident: e_1_3_3_6_2 doi: 10.1016/j.evolhumbehav.2015.05.004 – ident: e_1_3_3_19_2 doi: 10.1016/j.anbehav.2015.07.030 – ident: e_1_3_3_5_2 doi: 10.1098/rspb.2011.1172 – ident: e_1_3_3_33_2 doi: 10.1016/j.crhy.2019.05.002 – ident: e_1_3_3_34_2 doi: 10.3390/e21050521 – ident: e_1_3_3_45_2 doi: 10.1016/j.tpb.2019.12.004 – ident: e_1_3_3_17_2 doi: 10.1038/nature13998 – ident: e_1_3_3_25_2 doi: 10.1016/j.tpb.2007.03.003 – ident: e_1_3_3_36_2 doi: 10.1073/pnas.83.13.4824 – ident: e_1_3_3_14_2 doi: 10.1016/j.anbehav.2007.11.012 – ident: e_1_3_3_26_2 doi: 10.1525/aa.2001.103.4.992 – ident: e_1_3_3_9_2 doi: 10.1038/nature04047 – ident: e_1_3_3_22_2 doi: 10.1016/S1090-5138(02)00101-0 – ident: e_1_3_3_23_2 doi: 10.1016/j.evolhumbehav.2007.08.003 – volume-title: Diffusion of Innovations year: 2010 ident: e_1_3_3_44_2 – ident: e_1_3_3_38_2 doi: 10.1007/BF01531189 – ident: e_1_3_3_13_2 doi: 10.1093/beheco/arh008 – ident: e_1_3_3_32_2 doi: 10.1007/BF02980577 – volume-title: Culture and the Evolutionary Process year: 1985 ident: e_1_3_3_3_2 – ident: e_1_3_3_20_2 doi: 10.1126/science.aat1590 – ident: e_1_3_3_35_2 doi: 10.1371/journal.pone.0166323 – ident: e_1_3_3_46_2 doi: 10.1016/0040-5809(82)90029-6 – ident: e_1_3_3_11_2 doi: 10.2307/1943165 – ident: e_1_3_3_21_2 doi: 10.1016/j.tpb.2007.04.003 – ident: e_1_3_3_43_2 doi: 10.1016/j.jtbi.2013.04.023 – ident: e_1_3_3_30_2 doi: 10.1016/j.tpb.2013.09.010 – ident: e_1_3_3_7_2 doi: 10.1111/desc.12231 – ident: e_1_3_3_31_2 doi: 10.1007/s10955-013-0701-4 – ident: e_1_3_3_2_2 doi: 10.1126/science.7123211 – ident: e_1_3_3_29_2 doi: 10.1006/jtbi.2000.2202 – ident: e_1_3_3_47_2 doi: 10.1073/pnas.1619655114 – ident: e_1_3_3_24_2 doi: 10.1016/j.jtbi.2009.05.029 – ident: e_1_3_3_18_2 doi: 10.1073/pnas.1621067114 – ident: e_1_3_3_40_2 doi: 10.1016/S0167-2681(03)00094-5 – ident: e_1_3_3_41_2 doi: 10.1098/rstb.2010.0046 – ident: e_1_3_3_10_2 doi: 10.1126/science.1232769 – ident: e_1_3_3_27_2 doi: 10.1163/156853702320281836 – ident: e_1_3_3_8_2 doi: 10.1016/j.evolhumbehav.2014.02.003 – ident: e_1_3_3_15_2 doi: 10.1016/j.evolhumbehav.2012.07.005 – ident: e_1_3_3_42_2 doi: 10.1006/anbe.1998.0760 |
SSID | ssj0009580 |
Score | 2.497126 |
Snippet | Conformist bias occurs when the probability of adopting a more common cultural variant in a population exceeds its frequency, and anticonformist bias occurs... The evolutionary dynamics of cultural variants under conformist- and anticonformist-biased transmission have implications for humans and nonhuman animals.... |
SourceID | pubmedcentral proquest pubmed crossref jstor |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 13603 |
SubjectTerms | Animal behavior Bias Biological Sciences Conformity Cooperation Cultural Evolution Evolution Frequency dependence Group selection Humans Models, Psychological Social Behavior Social Conformity |
Title | Cultural evolution of conformity and anticonformity |
URI | https://www.jstor.org/stable/26968511 https://www.ncbi.nlm.nih.gov/pubmed/32461360 https://www.proquest.com/docview/2414046312 https://www.proquest.com/docview/2407582057 https://pubmed.ncbi.nlm.nih.gov/PMC7306811 |
Volume | 117 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1NT9wwELVaeumlKm1pQ2mVSj1QoWzxV5I9IgpCLd1y2JW2p8hOHIGEsggWDvx6ZmzHSWCRaC9R5NhO1jMej71v3hDyVQnYdOmKJmMtOJ5WpTDnuExqxTJ0iHmuLdpikh7NxM-5nPcirjG6ZKlH5e3KuJL_kSqUgVwxSvYfJBs6hQK4B_nCFSQM1yfJeL-lzTA3_j0OJW5DjNC9dkys0C4U9Z3Rk7B4XbVQgUl7NrjXRZr46X-1k-ycTLq8xT9M46H3v2CRqRTYC6M75LxTtL8LdRMwPwhO8Qeus8uzzgk9r3zpb5h1iMjtH0UwzFiTuEhJbz3B-UhS4fJ_jsyKstbkunhNr1tM9Cwo5aklPXho28EYYULiRlmWdYE5yX03AxbtyZ_icHZ8XEwP5tPn5AWD7QOzBrtPxpw7lgr_aS3lU8a_3-t-4K04wOqqrch9RG3PRZm-Jq_83iLec4qyTp6Z5g1Zb8UXb3uK8W9vCW81Jw6aEy_quFOTGDQnHmrOOzI7PJjuHyU-fUZSCsGX8Mt0anLJdrNaGFnKsRFIYT82WU2lYcbkFZV5zUVZMlPlu0ozlWpdwb0WNaN8g6w1i8Z8ILHileAKGSsoF4KVCrxazSteS1FLPU4jMmqHqSg9tzymODkvLMYh4wWOa9GNa0S2Q4MLR6vyeNUNO-6hHkM-J9gnRGSrFUThJyW0E8gXlXLKIvIlPAaTif-DqcYsrrEO-Mng-Uro-72TW-icI78iqGBEsoFEQwWkYx8-ac5OLS07rJVpTunmE977kbzs5s8WWVteXptP4Nwu9WerqXf1AqQe |
linkProvider | ABC ChemistRy |
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=Cultural+evolution+of+conformity+and+anticonformity&rft.jtitle=Proceedings+of+the+National+Academy+of+Sciences+-+PNAS&rft.au=Denton%2C+Kaleda+Krebs&rft.au=Ram%2C+Yoav&rft.au=Liberman%2C+Uri&rft.au=Feldman%2C+Marcus+W&rft.date=2020-06-16&rft.issn=1091-6490&rft.eissn=1091-6490&rft.volume=117&rft.issue=24&rft.spage=13603&rft_id=info:doi/10.1073%2Fpnas.2004102117&rft.externalDBID=NO_FULL_TEXT |
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 |