Dataset Open Access

Humans display a reduced set of consistent behavioral phenotypes in dyadic games

Poncela-Casasnovas, Julia; Gutiérrez-Roig, Mario; Gracia-Lázaro, Carlos; Vicens, Julian; Gómez-Gardeñes, Jesús; Perelló, Josep; Moreno, Yamir; Duch, Jordi; Sánchez, Angel


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">cooperation</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">dyadic games</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">social dilemmas</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">experiment</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">behavior</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">rationality</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">risk-aversion</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">altruism</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">cooperative phenotype</subfield>
  </datafield>
  <controlfield tag="005">20200124192625.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">Humans display a reduced set of consistent behavioral phenotypes in dyadic games.
Julia Poncela-Casasnovas, Mario Gutiérrez-Roig, Carlos Gracia-Lázaro, Julian Vicens, Jesús Gómez-Gardeñes, Josep Perelló, Yamir Moreno, Jordi Duch and Angel Sánchez.
Science Advances Vol. 2, no. 8, 2016.
DOI: 10.1126/sciadv.1600451</subfield>
  </datafield>
  <controlfield tag="001">1127154</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Departament de Física de la Matèria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain</subfield>
    <subfield code="a">Gutiérrez-Roig, Mario</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain</subfield>
    <subfield code="0">(orcid)0000-0002-9769-8796</subfield>
    <subfield code="a">Gracia-Lázaro, Carlos</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain</subfield>
    <subfield code="0">(orcid)0000-0003-0643-0469</subfield>
    <subfield code="a">Vicens, Julian</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of Condensed Matter Physics, University of Zaragoza, 50009 Zaragoza, Spain</subfield>
    <subfield code="a">Gómez-Gardeñes, Jesús</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Departament de Física de la Matèria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain</subfield>
    <subfield code="0">(orcid)0000-0001-8533-6539</subfield>
    <subfield code="a">Perelló, Josep</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain</subfield>
    <subfield code="0">(orcid)0000-0002-0895-1893</subfield>
    <subfield code="a">Moreno, Yamir</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain</subfield>
    <subfield code="0">(orcid)0000-0003-2639-6333</subfield>
    <subfield code="a">Duch, Jordi</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matemáticas, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain</subfield>
    <subfield code="0">(orcid)0000-0003-1874-2881</subfield>
    <subfield code="a">Sánchez, Angel</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">319528</subfield>
    <subfield code="z">md5:712e3a4ae905af3e004b4a31a38b250d</subfield>
    <subfield code="u">https://zenodo.org/record/1127154/files/drbrain_decisions.csv</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">8179</subfield>
    <subfield code="z">md5:4f9862f29596deea80a20a5f35fdd8eb</subfield>
    <subfield code="u">https://zenodo.org/record/1127154/files/drbrain_users.csv</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2205</subfield>
    <subfield code="z">md5:4db0dead5e962c98dbd1d23f9c30b737</subfield>
    <subfield code="u">https://zenodo.org/record/1127154/files/readme.txt</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2017-12-22</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="o">oai:zenodo.org:1127154</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="v">2</subfield>
    <subfield code="p">Science Advances</subfield>
    <subfield code="n">8</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain</subfield>
    <subfield code="0">(orcid)0000-0003-2791-7524</subfield>
    <subfield code="a">Poncela-Casasnovas, Julia</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Humans display a reduced set of consistent behavioral phenotypes in dyadic games</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">640772</subfield>
    <subfield code="a">Distributed Global Financial Systems for Society</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">317532</subfield>
    <subfield code="a">Foundational Research on MULTIlevel comPLEX networks and systems</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by-sa/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution Share Alike 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Socially relevant situations that involve strategic interactions are widespread among animals and humans alike. To study these situations, theoretical and experimental research has adopted a game theoretical perspective, generating valuable insights about human behavior. However, most of the results reported so far have been obtained from a population perspective and considered one specific conflicting situation at a time. This makes it difficult to extract conclusions about the consistency of individuals&amp;rsquo; behavior when facing different situations and to define a comprehensive classification of the strategies underlying the observed behaviors. We present the results of a lab-in-the-field experiment in which subjects face four different dyadic games, with the aim of establishing general behavioral rules dictating individuals&amp;rsquo; actions. By analyzing our data with an unsupervised clustering algorithm, we find that all the subjects conform, with a large degree of consistency, to a limited number of behavioral phenotypes (envious, optimist, pessimist, and trustful), with only a small fraction of undefined subjects. We also discuss the possible connections to existing interpretations based on a priori theoretical approaches. Our findings provide a relevant contribution to the experimental and theoretical efforts toward the identification of basic behavioral phenotypes in a wider set of contexts without aprioristic assumptions regarding the rules or strategies behind actions. From this perspective, our work contributes to a fact-based approach to the study of human behavior in strategic situations, which could be applied to simulating societies, policy-making scenario building, and even a variety of business applications.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The data from the &amp;quot;dr Brain&amp;quot; experiment is organized in two separated files: drbrain_users.csv&lt;br&gt;
&amp;nbsp;and drbrain_decisions.csv.&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
1.) &amp;nbsp; drbrain_users.csv contains information about the participants of the experiment (or users).&lt;br&gt;
There is one row per user, with the following information about each one of them:&lt;/p&gt;

&lt;p&gt;User_ID: unique ID number to identify the user.&lt;br&gt;
Age: user&amp;#39;s age&lt;br&gt;
Gender: user&amp;#39;s gender&lt;br&gt;
Experiment_number: Number of the experiment the user participated in. For organizational reasons, our research actually was made 45 experiments (or replicas) run over a period of 2 days, each one run with differnt users. A user was only allowed to participate in one experiment. Each experiment included between 10-25 users typically, and they played around 13-18 game rounds, typically. Each round and each couple of users played in different games (that is, different values of S, Sucker&amp;#39;s payoff, and T, Temptation to defect, while the values of P=5 , Punishment, and R=10, Reward, were always fixed).&lt;br&gt;
Earnings: number of points the user obtained in total, over all rounds.&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
2.) &amp;nbsp; drbrain_decisions.csv &amp;nbsp;contains the information of the all game rounds for all experiments and all users.&lt;br&gt;
User_ID: unique ID number to identify the user.&amp;nbsp;&amp;nbsp; &amp;nbsp;&lt;br&gt;
Experiment_number: Number of the experiment the user participated in.&lt;br&gt;
Round_number: Number of the round within a given experiment.&lt;br&gt;
S: Value for the &amp;quot;Sucker&amp;#39;s payoff&amp;quot; in the game of that round.&lt;br&gt;
T: Value for the &amp;quot;Temptation to defect&amp;quot; in the game of that round.&amp;nbsp;&amp;nbsp; &amp;nbsp;&lt;br&gt;
Game: Name of the game corresponding to those values of S and T for that round&lt;br&gt;
Action: Action chosen by the user (C: cooperate, D: defect)&lt;br&gt;
Opponent_ID: ID number of the user&amp;#39;s opponent in that round.&amp;nbsp;&lt;br&gt;
Opponent_Action: Action (C or D) chosen by the user&amp;#39;s opponent in that round.&lt;/p&gt;

&lt;p&gt;--------&lt;/p&gt;

&lt;p&gt;For more details, see our research article:&lt;/p&gt;

&lt;p&gt;Humans display a reduced set of consistent behavioral phenotypes in dyadic games.&lt;br&gt;
Julia Poncela-Casasnovas, Mario Guti&amp;eacute;rrez-Roig, Carlos Gracia-L&amp;aacute;zaro, Julian Vicens, Jes&amp;uacute;s G&amp;oacute;mez-Garde&amp;ntilde;es, Josep Perell&amp;oacute;, Yamir Moreno, Jordi Duch and Angel S&amp;aacute;nchez.&lt;br&gt;
Science Advances Vol. 2, no. 8, 2016.&lt;br&gt;
DOI: 10.1126/sciadv.1600451&lt;br&gt;
http://advances.sciencemag.org/content/2/8/e1600451&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isCitedBy</subfield>
    <subfield code="a">10.1126/sciadv.1600451</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.1127153</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.1127154</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>
267
130
views
downloads
All versions This version
Views 267267
Downloads 130130
Data volume 31.8 MB31.8 MB
Unique views 255255
Unique downloads 108108

Share

Cite as