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Implications of the Social Brain Hypothesis for Evolving Human-Like Cognition in Digital Organisms

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Advances in Artificial Life. Darwin Meets von Neumann (ECAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5778))

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Abstract

Data show that human-like cognitive traits do not evolve in animals through natural selection. Rather, human-like cognition evolves through runaway selection for social skills. Here, we discuss why social selection may be uniquely effective for promoting human-like cognition, and the conditions that facilitate it. These observations suggest future directions for artificial life research aimed at generating human-like cognition in digital organisms.

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Author information

Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, Vic., 3800, Australia

    Suzanne Sadedin & Greg Paperin

Authors
  1. Suzanne Sadedin
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  2. Greg Paperin
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Editors and Affiliations

  1. Department of History and Philosophy of Science, Eötvös University, Pázmány P.s. 1/C, 1117, Budapest, Hungary

    George Kampis

  2. Department of Biological Sciences, East Tennessee State Unviversity, TN 37614-1710, Johnso City, USA

    István Karsai

  3. Collegium Budapest, Szentháromság u.2, 1014, Budapest, Hungary

    Eörs Szathmáry

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Sadedin, S., Paperin, G. (2011). Implications of the Social Brain Hypothesis for Evolving Human-Like Cognition in Digital Organisms. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-21314-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21313-7

  • Online ISBN: 978-3-642-21314-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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