skip to main content
10.1145/1068009.1068028acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
Article

Validation of evolutionary activity metrics for long-term evolutionary dynamics

Published:25 June 2005Publication History

ABSTRACT

As artificial life systems grow in number and sophistication, it is becoming increasingly important that the field agree on principled metrics for evaluating them. This report describes a series of experiments validating the evolutionary activity statistics developed by Bedau and his colleagues [2, 3, 4]. The work described herein was motivated by a feeling that the 'null hypothesis'---that is, that the evolutionary activity statistics fail to exclude intuitively unlifelike systems from Class 3 dynamics [3]---had not been sufficiently disproved in the existing literature. We conducted a series of experiments applying the statistics to such systems, attempting to 'break' the scheme by measuring Class 3 dynamics in an intuitively unlifelike system. The evolutionary activity measurement scheme has so far proved robust to our attempts to break it, but we believe that this work is still valuable in advancing the validity of the scheme, and that this does not mean the scheme is without shortcomings.

References

  1. J. C. Avise. Phylogeography: The History and Formation of Species. Harvard University Press, 2000.]]Google ScholarGoogle Scholar
  2. M. A. Bedau and N. H. Packard. Measurement of evolutionary activity, teleology, and life. In C. Langton, C. Taylor, D. Farmer, and S. Rasmussen, editors, Artificial Life II, Santa Fe Institute Studies in the Sciences of Complexity, Volume X, pages 431--461, 1992.]]Google ScholarGoogle Scholar
  3. M. A. Bedau, E. Snyder, C. T. Brown, and N. H. Packard. A comparison of evolutionary activity in artificial evolving systems and in the biosphere. In P. Husbands and I. Harvey, editors, Proceedings of the Fourth European Conference on Artificial Life, pages 125--134. MIT Press, 1997.]]Google ScholarGoogle Scholar
  4. M. A. Bedau, E. Snyder, and N. H. Packard. A classification of long-term evolutionary dynamics. In C. Adami, R. Belew, H. Kitano, and C. Taylor, editors, Artificial Life VI, pages 228--237. MIT Press, 1998.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Channon. Passing the ALife test: Activity statistics classify evolution in Geb as unbounded. In Proceedings of the European Conference on Artificial Life, 2001.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. Channon. Improving and Still Passing the ALife Test: Component-Normalised Activity Statistics Classify Evolution in Geb as Unbounded. In Standish, Abbass, and Bedau, editors, Artificial Life VIII, pages 173--181. MIT Press, 2002.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. J. Gould. The Structure of Evolutionary Theory. Belknap Press, 2002.]]Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Validation of evolutionary activity metrics for long-term evolutionary dynamics

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation
              June 2005
              2272 pages
              ISBN:1595930108
              DOI:10.1145/1068009

              Copyright © 2005 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 25 June 2005

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • Article

              Acceptance Rates

              Overall Acceptance Rate1,669of4,410submissions,38%

              Upcoming Conference

              GECCO '24
              Genetic and Evolutionary Computation Conference
              July 14 - 18, 2024
              Melbourne , VIC , Australia

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader