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The reasonable effectiveness of agent-based simulations in evolutionary game theory: Reply to comments on “Evolutionary game theory using agent-based methods”
Adami, C.
Schossau, J.
Hintze, Arend
Michigan State University, East Lansing, United States.
ORCID iD:
0000-0002-4872-1961
2016 (English)
In:
Physics of Life Reviews, ISSN 1571-0645, E-ISSN 1873-1457, Vol. 19, p. 38-42
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier B.V. , 2016. Vol. 19, p. 38-42
Keywords [en]
Agent-based modeling, Evolutionary game theory, evolution, game, human, Biological Evolution, Game Theory, Humans
National Category
Evolutionary Biology
Identifiers
URN:
urn:nbn:se:du-37174
DOI:
10.1016/j.plrev.2016.11.005
Scopus ID:
2-s2.0-84999816129
OAI: oai:DiVA.org:du-37174
DiVA, id:
diva2:1557885
Available from:
2021-05-27
Created:
2021-05-27
Last updated:
2021-05-27
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Hintze, Arend
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