Knowing the past improves cooperation in the future View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Zsuzsa Danku, Matjaž Perc, Attila Szolnoki

ABSTRACT

Cooperation is the cornerstone of human evolutionary success. Like no other species, we champion the sacrifice of personal benefits for the common good, and we work together to achieve what we are unable to achieve alone. Knowledge and information from past generations is thereby often instrumental in ensuring we keep cooperating rather than deteriorating to less productive ways of coexistence. Here we present a mathematical model based on evolutionary game theory that shows how using the past as the benchmark for evolutionary success, rather than just current performance, significantly improves cooperation in the future. Interestingly, the details of just how the past is taken into account play only second-order importance, whether it be a weighted average of past payoffs or just a single payoff value from the past. Cooperation is promoted because information from the past disables fast invasions of defectors, thus enhancing the long-term benefits of cooperative behavior. More... »

PAGES

262

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-36486-x

DOI

http://dx.doi.org/10.1038/s41598-018-36486-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111604962

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30670732


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institute of Technical Physics and Materials Science, Centre for Energy Research, Hungarian Academy of Sciences, P.O. Box 49, H-1525, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Danku", 
        "givenName": "Zsuzsa", 
        "id": "sg:person.01007324162.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007324162.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Complexity Science Hub Vienna", 
          "id": "https://www.grid.ac/institutes/grid.484678.1", 
          "name": [
            "Faculty of Natural Sciences and Mathematics, University of Maribor, Koro\u0161ka cesta 160, SI-2000, Maribor, Slovenia", 
            "Complexity Science Hub Vienna, Josefst\u00e4dterstra\u00dfe 39, A-1080, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Perc", 
        "givenName": "Matja\u017e", 
        "id": "sg:person.0651162615.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651162615.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institute of Technical Physics and Materials Science, Centre for Energy Research, Hungarian Academy of Sciences, P.O. Box 49, H-1525, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szolnoki", 
        "givenName": "Attila", 
        "id": "sg:person.0647245621.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647245621.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/432449a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001143618", 
          "https://doi.org/10.1038/432449a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/432449a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001143618", 
          "https://doi.org/10.1038/432449a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/432449a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001143618", 
          "https://doi.org/10.1038/432449a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1133755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002913322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep17752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006084039", 
          "https://doi.org/10.1038/srep17752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1212126109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012139144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2013.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012680205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2015.1975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015789792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.80.021901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016708094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.80.021901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016708094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1127333", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019400951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0630443100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019524296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-4-431-54962-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019753718", 
          "https://doi.org/10.1007/978-4-431-54962-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-4-431-54962-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019753718", 
          "https://doi.org/10.1007/978-4-431-54962-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjb/e2016-60901-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020397845", 
          "https://doi.org/10.1140/epjb/e2016-60901-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1367-2630/14/9/093016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020944662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physa.2010.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020972459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.77.011904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021437599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.77.011904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021437599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2010.0065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021440457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tics.2013.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022029223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biosystems.2009.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028970462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/359826a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030106977", 
          "https://doi.org/10.1038/359826a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030835694", 
          "https://doi.org/10.1038/nature06940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.3.041021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031846861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.3.041021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031846861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.58.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033246835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.58.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033246835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06723", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035140544", 
          "https://doi.org/10.1038/nature06723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044778921", 
          "https://doi.org/10.1038/nature13530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/77/30004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051056509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2016.06.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051796848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.89.012106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060745723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.89.012106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060745723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.94.042311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060750631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.94.042311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060750631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.098104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.098104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.098104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1257/000282803322157142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064524166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1257/aer.90.4.980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064527132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep41076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074196351", 
          "https://doi.org/10.1038/srep41076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep46634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084936828", 
          "https://doi.org/10.1038/srep46634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physrep.2017.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085603416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-12823-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092297772", 
          "https://doi.org/10.1038/s41598-017-12823-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.7.041027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092447921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.7.041027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092447921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139173179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098684942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-70205-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100316550", 
          "https://doi.org/10.1007/978-3-319-70205-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chaos.2018.01.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101335388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41562-018-0320-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101559405", 
          "https://doi.org/10.1038/s41562-018-0320-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41562-018-0320-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101559405", 
          "https://doi.org/10.1038/s41562-018-0320-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41562-018-0320-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101559405", 
          "https://doi.org/10.1038/s41562-018-0320-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/121/48005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103569532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-04775-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104585027", 
          "https://doi.org/10.1038/s41467-018-04775-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-018-0277-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105300820", 
          "https://doi.org/10.1038/s41586-018-0277-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1006347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105733718"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Cooperation is the cornerstone of human evolutionary success. Like no other species, we champion the sacrifice of personal benefits for the common good, and we work together to achieve what we are unable to achieve alone. Knowledge and information from past generations is thereby often instrumental in ensuring we keep cooperating rather than deteriorating to less productive ways of coexistence. Here we present a mathematical model based on evolutionary game theory that shows how using the past as the benchmark for evolutionary success, rather than just current performance, significantly improves cooperation in the future. Interestingly, the details of just how the past is taken into account play only second-order importance, whether it be a weighted average of past payoffs or just a single payoff value from the past. Cooperation is promoted because information from the past disables fast invasions of defectors, thus enhancing the long-term benefits of cooperative behavior.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-36486-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5491958", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Knowing the past improves cooperation in the future", 
    "pagination": "262", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "71aa0597cd8363734e8434b2c082e871401ac4987e27b8d27652f6643a8dab35"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30670732"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-36486-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111604962"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-36486-x", 
      "https://app.dimensions.ai/details/publication/pub.1111604962"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000325_0000000325/records_100788_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-36486-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36486-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36486-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36486-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36486-x'


 

This table displays all metadata directly associated to this object as RDF triples.

233 TRIPLES      21 PREDICATES      72 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-36486-x schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Nf9d1b5683f824713b18bcdb22d26a4e5
4 schema:citation sg:pub.10.1007/978-3-319-70205-6
5 sg:pub.10.1007/978-4-431-54962-8
6 sg:pub.10.1038/359826a0
7 sg:pub.10.1038/432449a
8 sg:pub.10.1038/nature06723
9 sg:pub.10.1038/nature06940
10 sg:pub.10.1038/nature13530
11 sg:pub.10.1038/s41467-018-04775-8
12 sg:pub.10.1038/s41562-018-0320-9
13 sg:pub.10.1038/s41586-018-0277-x
14 sg:pub.10.1038/s41598-017-12823-4
15 sg:pub.10.1038/srep17752
16 sg:pub.10.1038/srep41076
17 sg:pub.10.1038/srep46634
18 sg:pub.10.1140/epjb/e2016-60901-5
19 https://doi.org/10.1016/j.biosystems.2009.10.003
20 https://doi.org/10.1016/j.chaos.2018.01.019
21 https://doi.org/10.1016/j.jtbi.2013.10.013
22 https://doi.org/10.1016/j.physa.2010.02.008
23 https://doi.org/10.1016/j.physleta.2016.06.026
24 https://doi.org/10.1016/j.physrep.2017.05.004
25 https://doi.org/10.1016/j.tics.2013.06.003
26 https://doi.org/10.1017/cbo9781139173179
27 https://doi.org/10.1073/pnas.0630443100
28 https://doi.org/10.1073/pnas.1212126109
29 https://doi.org/10.1088/1367-2630/14/9/093016
30 https://doi.org/10.1098/rspb.2010.0065
31 https://doi.org/10.1098/rspb.2015.1975
32 https://doi.org/10.1103/physreve.58.69
33 https://doi.org/10.1103/physreve.77.011904
34 https://doi.org/10.1103/physreve.80.021901
35 https://doi.org/10.1103/physreve.89.012106
36 https://doi.org/10.1103/physreve.94.042311
37 https://doi.org/10.1103/physrevlett.95.098104
38 https://doi.org/10.1103/physrevx.3.041021
39 https://doi.org/10.1103/physrevx.7.041027
40 https://doi.org/10.1126/science.1127333
41 https://doi.org/10.1126/science.1133755
42 https://doi.org/10.1209/0295-5075/121/48005
43 https://doi.org/10.1209/0295-5075/77/30004
44 https://doi.org/10.1257/000282803322157142
45 https://doi.org/10.1257/aer.90.4.980
46 https://doi.org/10.1371/journal.pcbi.1006347
47 schema:datePublished 2019-12
48 schema:datePublishedReg 2019-12-01
49 schema:description Cooperation is the cornerstone of human evolutionary success. Like no other species, we champion the sacrifice of personal benefits for the common good, and we work together to achieve what we are unable to achieve alone. Knowledge and information from past generations is thereby often instrumental in ensuring we keep cooperating rather than deteriorating to less productive ways of coexistence. Here we present a mathematical model based on evolutionary game theory that shows how using the past as the benchmark for evolutionary success, rather than just current performance, significantly improves cooperation in the future. Interestingly, the details of just how the past is taken into account play only second-order importance, whether it be a weighted average of past payoffs or just a single payoff value from the past. Cooperation is promoted because information from the past disables fast invasions of defectors, thus enhancing the long-term benefits of cooperative behavior.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf N62893a6ef5714f7dad9199f3d3fffc55
54 N9ef9e0d53729400b8cdcd9ff3dd17897
55 sg:journal.1045337
56 schema:name Knowing the past improves cooperation in the future
57 schema:pagination 262
58 schema:productId N4001e74ff8e34920b1d0c25087a5456f
59 N46d7de80035048d9a0c6123b3d069952
60 Nd292d3325c624f81b90c1a369ff9e93d
61 Ne47352c63279445cb5d5ea19d31bf451
62 Nf251753af37e4aaeac42010a8e4b0e25
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111604962
64 https://doi.org/10.1038/s41598-018-36486-x
65 schema:sdDatePublished 2019-04-11T08:56
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher Nfaa5a2b6987a49daaa74a26f01c1b366
68 schema:url https://www.nature.com/articles/s41598-018-36486-x
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N1c4cd49010a841498f1c874e7f8db2a3 rdf:first sg:person.0647245621.05
73 rdf:rest rdf:nil
74 N4001e74ff8e34920b1d0c25087a5456f schema:name nlm_unique_id
75 schema:value 101563288
76 rdf:type schema:PropertyValue
77 N43cef092de2e4d02ab758efec77e9f30 schema:name Institute of Technical Physics and Materials Science, Centre for Energy Research, Hungarian Academy of Sciences, P.O. Box 49, H-1525, Budapest, Hungary
78 rdf:type schema:Organization
79 N46d7de80035048d9a0c6123b3d069952 schema:name readcube_id
80 schema:value 71aa0597cd8363734e8434b2c082e871401ac4987e27b8d27652f6643a8dab35
81 rdf:type schema:PropertyValue
82 N47a01edd06894cbc869fe53d67626edf schema:name Institute of Technical Physics and Materials Science, Centre for Energy Research, Hungarian Academy of Sciences, P.O. Box 49, H-1525, Budapest, Hungary
83 rdf:type schema:Organization
84 N62893a6ef5714f7dad9199f3d3fffc55 schema:issueNumber 1
85 rdf:type schema:PublicationIssue
86 N9ef9e0d53729400b8cdcd9ff3dd17897 schema:volumeNumber 9
87 rdf:type schema:PublicationVolume
88 Nc01e1c50424144cc88f218c5152ed2e9 rdf:first sg:person.0651162615.00
89 rdf:rest N1c4cd49010a841498f1c874e7f8db2a3
90 Nd292d3325c624f81b90c1a369ff9e93d schema:name pubmed_id
91 schema:value 30670732
92 rdf:type schema:PropertyValue
93 Ne47352c63279445cb5d5ea19d31bf451 schema:name doi
94 schema:value 10.1038/s41598-018-36486-x
95 rdf:type schema:PropertyValue
96 Nf251753af37e4aaeac42010a8e4b0e25 schema:name dimensions_id
97 schema:value pub.1111604962
98 rdf:type schema:PropertyValue
99 Nf9d1b5683f824713b18bcdb22d26a4e5 rdf:first sg:person.01007324162.30
100 rdf:rest Nc01e1c50424144cc88f218c5152ed2e9
101 Nfaa5a2b6987a49daaa74a26f01c1b366 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
104 schema:name Biological Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
107 schema:name Ecology
108 rdf:type schema:DefinedTerm
109 sg:grant.5491958 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36486-x
110 rdf:type schema:MonetaryGrant
111 sg:journal.1045337 schema:issn 2045-2322
112 schema:name Scientific Reports
113 rdf:type schema:Periodical
114 sg:person.01007324162.30 schema:affiliation N43cef092de2e4d02ab758efec77e9f30
115 schema:familyName Danku
116 schema:givenName Zsuzsa
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007324162.30
118 rdf:type schema:Person
119 sg:person.0647245621.05 schema:affiliation N47a01edd06894cbc869fe53d67626edf
120 schema:familyName Szolnoki
121 schema:givenName Attila
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647245621.05
123 rdf:type schema:Person
124 sg:person.0651162615.00 schema:affiliation https://www.grid.ac/institutes/grid.484678.1
125 schema:familyName Perc
126 schema:givenName Matjaž
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651162615.00
128 rdf:type schema:Person
129 sg:pub.10.1007/978-3-319-70205-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100316550
130 https://doi.org/10.1007/978-3-319-70205-6
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/978-4-431-54962-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019753718
133 https://doi.org/10.1007/978-4-431-54962-8
134 rdf:type schema:CreativeWork
135 sg:pub.10.1038/359826a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030106977
136 https://doi.org/10.1038/359826a0
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/432449a schema:sameAs https://app.dimensions.ai/details/publication/pub.1001143618
139 https://doi.org/10.1038/432449a
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/nature06723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035140544
142 https://doi.org/10.1038/nature06723
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/nature06940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030835694
145 https://doi.org/10.1038/nature06940
146 rdf:type schema:CreativeWork
147 sg:pub.10.1038/nature13530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044778921
148 https://doi.org/10.1038/nature13530
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/s41467-018-04775-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104585027
151 https://doi.org/10.1038/s41467-018-04775-8
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/s41562-018-0320-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101559405
154 https://doi.org/10.1038/s41562-018-0320-9
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/s41586-018-0277-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1105300820
157 https://doi.org/10.1038/s41586-018-0277-x
158 rdf:type schema:CreativeWork
159 sg:pub.10.1038/s41598-017-12823-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092297772
160 https://doi.org/10.1038/s41598-017-12823-4
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/srep17752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006084039
163 https://doi.org/10.1038/srep17752
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/srep41076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074196351
166 https://doi.org/10.1038/srep41076
167 rdf:type schema:CreativeWork
168 sg:pub.10.1038/srep46634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084936828
169 https://doi.org/10.1038/srep46634
170 rdf:type schema:CreativeWork
171 sg:pub.10.1140/epjb/e2016-60901-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020397845
172 https://doi.org/10.1140/epjb/e2016-60901-5
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.biosystems.2009.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028970462
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.chaos.2018.01.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101335388
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jtbi.2013.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012680205
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.physa.2010.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020972459
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.physleta.2016.06.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051796848
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.physrep.2017.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085603416
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.tics.2013.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022029223
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1017/cbo9781139173179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098684942
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1073/pnas.0630443100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019524296
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1073/pnas.1212126109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012139144
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1088/1367-2630/14/9/093016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020944662
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1098/rspb.2010.0065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021440457
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1098/rspb.2015.1975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015789792
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1103/physreve.58.69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033246835
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1103/physreve.77.011904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021437599
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1103/physreve.80.021901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016708094
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1103/physreve.89.012106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060745723
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1103/physreve.94.042311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060750631
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1103/physrevlett.95.098104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060830818
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1103/physrevx.3.041021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031846861
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1103/physrevx.7.041027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092447921
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1126/science.1127333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019400951
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1126/science.1133755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002913322
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1209/0295-5075/121/48005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103569532
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1209/0295-5075/77/30004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051056509
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1257/000282803322157142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064524166
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1257/aer.90.4.980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064527132
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1371/journal.pcbi.1006347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105733718
229 rdf:type schema:CreativeWork
230 https://www.grid.ac/institutes/grid.484678.1 schema:alternateName Complexity Science Hub Vienna
231 schema:name Complexity Science Hub Vienna, Josefstädterstraße 39, A-1080, Vienna, Austria
232 Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000, Maribor, Slovenia
233 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...