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Simulations Show That Shame Drives Social Cohesion

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Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 (IBERAMIA 2006, SBIA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4140))

Abstract

Using the agent based simulation model Sociodynamica, I explore the effect of various intensities of feelings of shame in cementing social bonds that affect the aggregate health (average longevity of agents) and wealth (GDP) of two artificial societies: A primitive society with no division of labor, and a monetized society with division of labor for three different tasks. The results show that agents who feel shame are successful in colonizing virtual societies, but the effect of shame in achieving cooperation differs between both societies studied They results also show that small levels of shame are better in enhancing social cohesion than large costs imposed with altruistic punishment.

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Author information

Authors and Affiliations

  1. Universidad Simón Bolivar, Apartado 89000, Caracas, 1080, Venezuela

    Klaus Jaffe

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  1. Klaus Jaffe
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Editor information

Editors and Affiliations

  1. Laboratório de Técnicas Inteligentes (LTI) Escola Politécnica (EP), Universidade de São Paulo (USP),  

    Jaime Simão Sichman

  2. Dep. de Informática, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal

    Helder Coelho

  3. Institute of Mathematics and Computer Science, Department of Computer Science, University of São Paulo,, Av. Trabalhador Sao-Carlense, 400, Centro, CP: 668, 13560-970, São Carlos, SP, Brazil

    Solange Oliveira Rezende

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© 2006 Springer-Verlag Berlin Heidelberg

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Jaffe, K. (2006). Simulations Show That Shame Drives Social Cohesion. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds) Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. IBERAMIA SBIA 2006 2006. Lecture Notes in Computer Science(), vol 4140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11874850_13

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  • DOI: https://doi.org/10.1007/11874850_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45462-5

  • Online ISBN: 978-3-540-45464-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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