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Towards the Implementation of Evolving Autopoietic Artificial Agents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2159))

Abstract

We report modifications to the SCL model [2], an artificial chemistry in Swarm designed to support autopoietic agents. The aim of these modifications is to improve on the longevity of the agents and to implement growth. We demonstrate by means of two simulation runs that the improvements indeed have the desired effects.

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References

  1. McMullin. Modelling autopoesis: Harder than it might seem!, 1997. Dublin City University, School of Electronic Engineering, Technical Report: bmcm9704, URL: http://www.eeng.dcu.ie/alife/bmcm9704/.

  2. Barry McMullin and Francisco J. Varela. Rediscovering computational autopoiesis. In Phil Husbands and Inman Harvey, editors, Proceeedings of the Fourth European Conference on Artificial Life, Series: Complex Adaptive Systems, Cambridge, 1997. MIT Press. URL:http://www.eeng.dcu.ie/ãlife/bmcmecal97/.

  3. F. Varela, H. Maturana, and R. Uribe. Autopoiesis: The Organisation of Living Systems, its Characterization and a Model. Biosystems, 5:187–196, 1974.

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© 2001 Springer-Verlag Berlin Heidelberg

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McMullin, B., Groβ, D. (2001). Towards the Implementation of Evolving Autopoietic Artificial Agents. In: Kelemen, J., Sosík, P. (eds) Advances in Artificial Life. ECAL 2001. Lecture Notes in Computer Science(), vol 2159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44811-X_49

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  • DOI: https://doi.org/10.1007/3-540-44811-X_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42567-0

  • Online ISBN: 978-3-540-44811-2

  • eBook Packages: Springer Book Archive

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