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Cited by 568

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Evolutionary games and computer simulations.

Open access
Huberman, B A, Glance, N S·1993·Proceedings of the National Academy of Sciences

Abstract

The Prisoner's Dilemma has long been considered the paradigm for studying the emergence of cooperation among selfish individuals. Because of its importance, it has been studied through computer experiments as well as in the laboratory and by analytical means. However, there are important differences between the way a system composed of many interacting elements is simulated by a digital machine and the manner in which it behaves when studied in real experiments. In some instances, these disparities can be marked enough so as to cast doubt on the implications of cellular automata-type simulations for the study of cooperation in social systems. In particular, if such a simulation imposes space-time granularity, then its ability to describe the real world may be compromised. Indeed, we show that the results of digital simulations regarding territoriality and cooperation differ greatly when time is discrete as opposed to continuous.

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Metadata

Authors
Huberman, B. A., & Glance, N. S.
Venue
Proceedings of the National Academy of Sciences
Published
1993-08-15
Volume
90
Issue
16
Pages
7716-7718
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2009921057
Cited by
568
References
0
FWCI
46.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolutionary games and computer simulations. https://app.cochat.ai/papers/10.1073/pnas.90.16.7716
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Huberman, B. A., & Glance, N. S. (1993). Evolutionary games and computer simulations. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.90.16.7716

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.