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Programming Machine Ethics pp 141–157Cite as

Modeling Collective Morality via Evolutionary Game Theory

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Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 26))

Abstract

This chapter addresses the collective realm computationally, using Evolutionary Game Theory in populations of individuals, to report on norms and morality emergence. These populations, to start with, are not equipped with much cognitive capability, and simply act from a predetermined set of actions. Our research has shown that the introduction of cognitive capabilities, such as intention recognition, commitment, apology, forgiveness, and revenge, separately and jointly, reinforce the emergence of cooperation in populations, comparatively to their absence. We then prospect future work concerned with adding guilt.

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Notes

  1. 1.

    Mens rea, the intention or knowledge of wrongdoing that constitutes part of a crime, as opposed to the action or conduct of the accused. Compare with actus reus, action or conduct that is a constituent element of a crime, as opposed to the mental state of the accused. ORIGIN: mid 19th cent.: Latin, literally ‘guilty mind.’

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Authors and Affiliations

  1. NOVA Laboratory for Computer Science and Informatics, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal

    Luís Moniz Pereira

  2. Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia

    Ari Saptawijaya

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  1. Luís Moniz Pereira
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  2. Ari Saptawijaya
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Correspondence to Luís Moniz Pereira .

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Pereira, L.M., Saptawijaya, A. (2016). Modeling Collective Morality via Evolutionary Game Theory. In: Programming Machine Ethics. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-29354-7_9

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