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Classification of Long-Term Evolutionary Dynamics

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  • Mark A. Bedau
  • Emile Snyder
  • Norman H. Packard

Abstract

We present empirical evidence that long-term evolutionary dynamics fall into three distinct classes, depending on whether adaptive evolutionary activity is absent (class 1), bounded (class 2), or unbounded (class 3). These classes are defined using three statistics: diversity, new evolutionary activity (Bedau & Packard, 1992), and mean cumulative evolutionary activity (Bedau et al., 1997). The three classes partition all the long-term evolutionary dynamics observed in Holland's Echo model (Holland, 1992), in a random-selection adaptively neutral "shadow" of Echo, and in the biosphere as reflected in the Phanerozoic fossil record. This classification provides quantitative evidence that Echo lacks the unbounded growth in adaptive evolutionary activity observed in the fossil record.

Suggested Citation

  • Mark A. Bedau & Emile Snyder & Norman H. Packard, 1998. "Classification of Long-Term Evolutionary Dynamics," Working Papers 98-03-025, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:98-03-025
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    References listed on IDEAS

    as
    1. Stephanie Forrest & Terry Jones, 1994. "Modeling Complex Adaptive Systems with Echo," Working Papers 94-12-064, Santa Fe Institute.
    2. Daniel W. McShea, 1996. "Metazoan Complexity and Evolution: Is There a Trend?," Working Papers 96-01-002, Santa Fe Institute.
    3. Terry Jones & Stephanie Forrest, 1993. "An Introduction to SFI Echo," Working Papers 93-12-074, Santa Fe Institute.
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