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Shared intentions: the evolution of collaboration

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  • Newton, Jonathan

Abstract

The ability to share intentions and adjust one's choices in collaboration with others is a fundamental aspect of human nature. We discuss the forces that would have acted for and against the evolution of this ability for a large class of dilemmas and coordination problems that would have been faced by our hominin ancestors. In contrast to altruism and other non-fitness maximizing preferences, the ability to share intentions proliferates when rare without requiring repeated interaction or assortativity in matching.

Suggested Citation

  • Newton, Jonathan, 2015. "Shared intentions: the evolution of collaboration," Working Papers 2015-05, University of Sydney, School of Economics.
    • Handle: RePEc:syd:wpaper:2015-05
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    1. Bo Chen & Satoru Fujishige & Zaifu Yang, 2010. "Decentralized Market Processes to Stable Job Matchings with Competitive Salaries," KIER Working Papers 749, Kyoto University, Institute of Economic Research.
    2. Bacharach, Michael, 1999. "Interactive team reasoning: A contribution to the theory of co-operation," Research in Economics, Elsevier, vol. 53(2), pages 117-147, June.
    3. Robson, Arthur J., 1996. "The Evolution of Attitudes to Risk: Lottery Tickets and Relative Wealth," Games and Economic Behavior, Elsevier, vol. 14(2), pages 190-207, June.
    4. Bomze Immanuel M. & Weibull Jorgen W., 1995. "Does Neutral Stability Imply Lyapunov Stability?," Games and Economic Behavior, Elsevier, vol. 11(2), pages 173-192, November.
    5. Ingela Alger & Jörgen W. Weibull, 2013. "Homo Moralis—Preference Evolution Under Incomplete Information and Assortative Matching," Econometrica, Econometric Society, vol. 81(6), pages 2269-2302, November.
    6. Newton, Jonathan & Sawa, Ryoji, 2015. "A one-shot deviation principle for stability in matching problems," Journal of Economic Theory, Elsevier, vol. 157(C), pages 1-27.
    7. Klaus, Bettina & Newton, Jonathan, 2016. "Stochastic stability in assignment problems," Journal of Mathematical Economics, Elsevier, vol. 62(C), pages 62-74.
    8. Newton, Jonathan & Angus, Simon D., 2015. "Coalitions, tipping points and the speed of evolution," Journal of Economic Theory, Elsevier, vol. 157(C), pages 172-187.
    9. Samuelson, Larry, 2001. "Introduction to the Evolution of Preferences," Journal of Economic Theory, Elsevier, vol. 97(2), pages 225-230, April.
    10. Ambrus, Attila, 2009. "Theories of Coalitional Rationality," Scholarly Articles 3204917, Harvard University Department of Economics.
    11. Chen, Bo & Fujishige, Satoru & Yang, Zaifu, 2016. "Random decentralized market processes for stable job matchings with competitive salaries," Journal of Economic Theory, Elsevier, vol. 165(C), pages 25-36.
    12. Morton Deutsch, 1958. "Trust and suspicion," Journal of Conflict Resolution, Peace Science Society (International), vol. 2(4), pages 265-279, December.
    13. Evans, Robert & Maskin, Eric, 1989. "Efficient renegotiation--proof equilibria in repeated games," Games and Economic Behavior, Elsevier, vol. 1(4), pages 361-369, December.
    14. Farrell, Joseph & Maskin, Eric, 1989. "Renegotiation in repeated games," Games and Economic Behavior, Elsevier, vol. 1(4), pages 327-360, December.
    15. Russell Cooper & Douglas V. DeJong & Robert Forsythe & Thomas W. Ross, 1992. "Communication in Coordination Games," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 739-771.
    16. Sawa, Ryoji, 2014. "Coalitional stochastic stability in games, networks and markets," Games and Economic Behavior, Elsevier, vol. 88(C), pages 90-111.
    17. Ambrus, Attila, 2009. "Theories of coalitional rationality," Journal of Economic Theory, Elsevier, vol. 144(2), pages 676-695, March.
    18. Jonathan Newton, 2017. "The preferences of Homo Moralis are unstable under evolving assortativity," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(2), pages 583-589, May.
    19. Daniel Balliet, 2010. "Communication and Cooperation in Social Dilemmas: A Meta-Analytic Review," Journal of Conflict Resolution, Peace Science Society (International), vol. 54(1), pages 39-57, February.
    20. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    21. Michael Bacharach, 2006. "The Hi-Lo Paradox, from Beyond Individual Choice: Teams and Frames in Game Theory," Introductory Chapters, in: Natalie Gold & Robert Sugden (ed.),Beyond Individual Choice: Teams and Frames in Game Theory, Princeton University Press.
    22. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2007. "What to maximize if you must," Journal of Economic Theory, Elsevier, vol. 133(1), pages 31-57, March.
    23. Newton, Jonathan, 2012. "Coalitional stochastic stability," Games and Economic Behavior, Elsevier, vol. 75(2), pages 842-854.
    24. David P. Myatt & Chris Wallace, 2008. "When Does One Bad Apple Spoil the Barrel? An Evolutionary Analysis of Collective Action," Review of Economic Studies, Oxford University Press, vol. 75(2), pages 499-527.
    25. Bernheim, B. Douglas & Peleg, Bezalel & Whinston, Michael D., 1987. "Coalition-Proof Nash Equilibria I. Concepts," Journal of Economic Theory, Elsevier, vol. 42(1), pages 1-12, June.
    26. Sugden, Robert, 2000. "Team Preferences," Economics and Philosophy, Cambridge University Press, vol. 16(2), pages 175-204, October.
    27. Eddie Dekel & Jeffrey C. Ely & Okan Yilankaya, 2007. "Evolution of Preferences -super-1," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 685-704.
    28. Newton, Jonathan, 2012. "Recontracting and stochastic stability in cooperative games," Journal of Economic Theory, Elsevier, vol. 147(1), pages 364-381.
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    Cited by:

    1. Newton, Jonathan & Sercombe, Damian, 2020. "Agency, potential and contagion," Games and Economic Behavior, Elsevier, vol. 119(C), pages 79-97.
    2. Song, Zhao & Guo, Hao & Jia, Danyang & Perc, Matjaž & Li, Xuelong & Wang, Zhen, 2021. "Third party interventions mitigate conflicts on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    3. Jonathan Newton, 2019. "Agency Equilibrium," Games, MDPI, Open Access Journal, vol. 10(1), pages 1-15, March.
    4. Khalil, Elias L., 2020. "The isomorphism hypothesis: The prisoner's dilemma as intertemporal allocation, and vice versa," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 735-746.
    5. Rusch, Hannes, 2019. "The evolution of collaboration in symmetric 2×2-games with imperfect recognition of types," Games and Economic Behavior, Elsevier, vol. 114(C), pages 118-127.
    6. Newton, Jonathan & Wait, Andrew & Angus, Simon D., 2019. "Watercooler chat, organizational structure and corporate culture," Games and Economic Behavior, Elsevier, vol. 118(C), pages 354-365.
    7. Heinrich H. Nax & Ryan O. Murphy & Stefano Duca & Dirk Helbing, 2017. "Contribution-Based Grouping under Noise," Games, MDPI, Open Access Journal, vol. 8(4), pages 1-23, November.
    8. Alger, Ingela & Lehmann, Laurent & Weibull, Jörgen W., 2018. "Evolution of preferences in group-structured populations: genes, guns, and culture," TSE Working Papers 18-888, Toulouse School of Economics (TSE), revised Oct 2019.
    9. Mathias Spichtig & Martijn Egas, 2019. "When and How Does Mutation-Generated Variation Promote the Evolution of Cooperation?," Games, MDPI, Open Access Journal, vol. 10(1), pages 1-17, January.
    10. Simon D Angus & Jonathan Newton, 2020. "Collaboration leads to cooperation on sparse networks," PLOS Computational Biology, Public Library of Science, vol. 16(1), pages 1-11, January.

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    More about this item

    Keywords

    Evolution; shared intentions; norm;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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