European Conference on Artificial Life

ECAL 2001: Advances in Artificial Life pp 417-426

Passing the ALife Test: Activity Statistics Classify Evolution in Geb as Unbounded

  • Alastair Channon
Conference paper

DOI: 10.1007/3-540-44811-X_45

Volume 2159 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Channon A. (2001) Passing the ALife Test: Activity Statistics Classify Evolution in Geb as Unbounded. In: Kelemen J., Sosík P. (eds) Advances in Artificial Life. ECAL 2001. Lecture Notes in Computer Science, vol 2159. Springer, Berlin, Heidelberg

Abstract

Bedau and Packard’s evolutionary activity statistics [1,2] are used to classify the evolutionary dynamics in Geb [3,4], a system designed to verify and extend theories behind the generation of evolutionary emergent systems. The result is that, according to these statistics, Geb exhibits unbounded evolutionary activity, making it the first autonomous artificial system to pass this test. However, having passed it, the most prudent course of action is to look for weaknesses in the test. Two weaknesses are identified and approaches for overcoming them are proposed.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Alastair Channon
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of PortsmouthUK