IDEAS home Printed from https://ideas.repec.org/p/wop/safiwp/99-01-002.html
   My bibliography  Save this paper

The Emergence of Social Organization in the Prisoner's Dilemma: How Context-Preservation and Other Factors Promote Cooperation

Author

Listed:
  • Michael D. Cohen
  • Rick L. Riolo
  • Robert Axelrod

Abstract

While complex adaptive systems (CAS) theories focus primarily on phenomena such as systemic robustness against perturbation, self-organization, and on the emergence, transformation, and dissolution of organizational entities or action patterns, the metaphorical resonance of CAS work is not easily translated into careful scientific results. It can be very difficult to identify the right level at which to develop more precise theoretical generalizations with well-specified domains of applicability. And constructing experimental parameters that cleanly map to important, general constructs is usually not a simple exercise. This paper demonstrates an approach to this problem. We report results of agent-based simulation experiments in which the basic activity of the agents is to play the Iterated Prisoner's Dilemma with other agents. We systematically investigate how the emergence and maintenance of cooperation is affected by variations in three key dimensions: (1) strategy space from which the agents' strategies are selected, (2) the interaction processes that channel agents into interactions, and (3) the adaptive processes that govern the changes in agents' strategies over time. Overall, our experiments both confirm results which have been reported in the literature (e.g., that embedding agents in a 2 dimensional space can lead to the emergence of cooperation), and demonstrate surprising results (e.g., that high levels of cooperation can arise even when agents are randomly mixing, when the agents use simple deterministic strategies and update them using a kind of evolutionary algorithm). Our results also support a generalized view of "neighborhood" where the important factor is the degree to which the interaction processes lead to context preservation, independent of any particular topology. The preservation of context, even as agents are changing their strategies, acts as a "shadow of the adaptive future," resulting in sets of agents who are highly cooperative and resistant to invasion by cheaters. Submitted paper based on above research to Rationality and Society.

Suggested Citation

  • Michael D. Cohen & Rick L. Riolo & Robert Axelrod, 1999. "The Emergence of Social Organization in the Prisoner's Dilemma: How Context-Preservation and Other Factors Promote Cooperation," Working Papers 99-01-002, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:99-01-002
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Cohen, Michael D., 1981. "The power of parallel thinking," Journal of Economic Behavior & Organization, Elsevier, vol. 2(4), pages 285-306, December.
    2. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    3. Joshua M. Epstein, 1997. "Zones of Cooperation in Demographic Prisoner's Dilemma," Working Papers 97-12-094, Santa Fe Institute.
    4. M.A. Nowak & K. Sigmund, 1998. "Evolution of Indirect Reciprocity by Image Scoring/ The Dynamics of Indirect Reciprocity," Working Papers ir98040, International Institute for Applied Systems Analysis.
    5. Miller, John H., 1996. "The coevolution of automata in the repeated Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 87-112, January.
    6. Joshua M. Epstein, 1997. "Zones of Cooperation in Demographic Prisoner's Dilemma," Research in Economics 97-12-094e, Santa Fe Institute.
    7. Robert Hoffmann & Nigel Waring, 1996. "The Localisation of Interaction and Learning in the Repeated Prisoner's Dilemma," Working Papers 96-08-064, Santa Fe Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hokky Situngkir & Yun Hariadi & Rio Siagian & Sidik Permana & Catur Budi Santoso, 2004. "Sociological Strategies In Indonesian Mining Site: The Prisoner Dilemma Approach," Game Theory and Information 0405005, University Library of Munich, Germany.
    2. Nicholas M. Gotts & J. Gareth Polhill, 2009. "When and How to Imitate Your Neighbours: Lessons from and for FEARLUS," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-2.
    3. Bill Tomlinson, 2009. "A Proximate Mechanism for Communities of Agents to Commemorate Long Dead Ancestors," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-7.
    4. Suzanne Van Brussel & Luuk Boelens & Dirk Lauwers, 2016. "Unravelling the Flemish Mobility Orgware: the transition towards a sustainable mobility from an actor-network perspective," European Planning Studies, Taylor & Francis Journals, vol. 24(7), pages 1336-1356, July.
    5. Alan G. Isaac, 2008. "Simulating Evolutionary Games: A Python-Based Introduction," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-8.
    6. Takama, Takeshi & Preston, John, 2008. "Forecasting the effects of road user charge by stochastic agent-based modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 738-749, May.
    7. Daniela Nepote & Sylvie Occelli, 2003. "Beyond core-periphery relationship in the EC cooperation," ERSA conference papers ersa03p218, European Regional Science Association.
    8. Frank Schweitzer & Laxmidar Behera, 2012. "Optimal Migration Promotes The Outbreak Of Cooperation In Heterogeneous Populations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    9. Tackseung Jun & Rajiv Sethi, 2009. "Reciprocity in evolving social networks," Journal of Evolutionary Economics, Springer, vol. 19(3), pages 379-396, June.
    10. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    11. Sutee Anantsuksomsri & Nij Tontisirin, 2016. "A spatial agent-based model of a congestion game: evolutionary game theory in space," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 371-391, November.
    12. M.G. Zimmermann, V. M. Eguiluz, 2001. "Evolution of Cooperative Networks and the Emergence of Leadership," Computing in Economics and Finance 2001 171, Society for Computational Economics.
    13. Christina Fang & Steven Orla Kimbrough & Stefano Pace & Annapurna Valluri & Zhiqiang Zheng, 2002. "On Adaptive Emergence of Trust Behavior in the Game of Stag Hunt," Group Decision and Negotiation, Springer, vol. 11(6), pages 449-467, November.
    14. Lars-Erik Cederman, 2001. "Modeling the Democratic Peace as a Kantian Selection Process," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(4), pages 470-502, August.
    15. Conrad Power, 2009. "A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-8.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Casari, Marco, 2008. "Markets in equilibrium with firms out of equilibrium: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 261-276, February.
    2. Kurokawa, Shun, 2019. "How memory cost, switching cost, and payoff non-linearity affect the evolution of persistence," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 174-192.
    3. Carattini, Stefano & Gillingham, Kenneth & Meng, Xiangyu & Yoeli, Erez, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 340-370.
    4. Wang, Xiaofeng & Chen, Xiaojie & Gao, Jia & Wang, Long, 2013. "Reputation-based mutual selection rule promotes cooperation in spatial threshold public goods games," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 181-187.
    5. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    6. Frauke von Bieberstein & Andrea Essl & Kathrin Friedrich, 2021. "Empathy: A clue for prosocialty and driver of indirect reciprocity," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-15, August.
    7. Charness, Gary & Du, Ninghua & Yang, Chun-Lei, 2011. "Trust and trustworthiness reputations in an investment game," Games and Economic Behavior, Elsevier, vol. 72(2), pages 361-375, June.
    8. Cubitt, Robin P. & Drouvelis, Michalis & Gächter, Simon & Kabalin, Ruslan, 2011. "Moral judgments in social dilemmas: How bad is free riding?," Journal of Public Economics, Elsevier, vol. 95(3), pages 253-264.
    9. Deng, Zhenghong & Wang, Shengnan & Gu, Zhiyang & Xu, Juwei & Song, Qun, 2017. "Heterogeneous preference selection promotes cooperation in spatial prisoners’ dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 100(C), pages 20-23.
    10. Gaudeul, Alexia & Keser, Claudia & Müller, Stephan, 2021. "The evolution of morals under indirect reciprocity," Games and Economic Behavior, Elsevier, vol. 126(C), pages 251-277.
    11. Ben-Ner, Avner & Putterman, Louis & Kong, Fanmin & Magan, Dan, 2004. "Reciprocity in a two-part dictator game," Journal of Economic Behavior & Organization, Elsevier, vol. 53(3), pages 333-352, March.
    12. Engelmann, Dirk & Fischbacher, Urs, 2009. "Indirect reciprocity and strategic reputation building in an experimental helping game," Games and Economic Behavior, Elsevier, vol. 67(2), pages 399-407, November.
    13. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    14. Suzuki, Shinsuke & Akiyama, Eizo, 2008. "Evolutionary stability of first-order-information indirect reciprocity in sizable groups," Theoretical Population Biology, Elsevier, vol. 73(3), pages 426-436.
    15. Molina, José Alberto & Ferrer, Alfredo & Gimenez-Nadal, José Ignacio & Gracia-Lazaro, Carlos & Moreno, Yamir & Sanchez, Angel, 2016. "The Effect of Kinship on Intergenerational Cooperation: A Lab Experiment with Three Generations," IZA Discussion Papers 9842, Institute of Labor Economics (IZA).
    16. Liang, Pinghan & Meng, Juanjuan, 2016. "Favor transmission and social image concern: An experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 14-21.
    17. Lv, Shaojie & Wang, Xianjia, 2020. "The impact of heterogeneous investments on the evolution of cooperation in public goods game with exclusion," Applied Mathematics and Computation, Elsevier, vol. 372(C).
    18. Shen, Chen & Li, Xiaoping & Shi, Lei & Deng, Zhenghong, 2017. "Asymmetric evaluation promotes cooperation in network population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 391-397.
    19. Mirko Duradoni & Mario Paolucci & Franco Bagnoli & Andrea Guazzini, 2018. "Fairness and Trust in Virtual Environments: The Effects of Reputation," Future Internet, MDPI, vol. 10(6), pages 1-15, June.
    20. Gary Bolton & Ben Greiner & Axel ockenfels, 2015. "Conflict resolution vs. conflict escalation in online markets," Discussion Papers 2015-19, School of Economics, The University of New South Wales.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wop:safiwp:99-01-002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/epstfus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.