Theory in Biosciences

, Volume 135, Issue 3, pp 131–161

Defining and simulating open-ended novelty: requirements, guidelines, and challenges

  • Wolfgang Banzhaf
  • Bert Baumgaertner
  • Guillaume Beslon
  • René Doursat
  • James A. Foster
  • Barry McMullin
  • Vinicius Veloso de Melo
  • Thomas Miconi
  • Lee Spector
  • Susan Stepney
  • Roger White
Original Paper

DOI: 10.1007/s12064-016-0229-7

Cite this article as:
Banzhaf, W., Baumgaertner, B., Beslon, G. et al. Theory Biosci. (2016) 135: 131. doi:10.1007/s12064-016-0229-7

Abstract

The open-endedness of a system is often defined as a continual production of novelty. Here we pin down this concept more fully by defining several types of novelty that a system may exhibit, classified as variation, innovation, and emergence. We then provide a meta-model for including levels of structure in a system’s model. From there, we define an architecture suitable for building simulations of open-ended novelty-generating systems and discuss how previously proposed systems fit into this framework. We discuss the design principles applicable to those systems and close with some challenges for the community.

Keywords

Modelling and simulation Open-ended evolution Novelty Innovation Major transitions Emergence 

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Wolfgang Banzhaf
    • 1
  • Bert Baumgaertner
    • 2
  • Guillaume Beslon
    • 3
  • René Doursat
    • 4
    • 5
  • James A. Foster
    • 6
  • Barry McMullin
    • 7
  • Vinicius Veloso de Melo
    • 1
  • Thomas Miconi
    • 8
  • Lee Spector
    • 9
  • Susan Stepney
    • 10
  • Roger White
    • 11
  1. 1.Department of Computer ScienceMemorial University of Newfoundland St. John’sCanada
  2. 2.Department of Philosophy and Institute for Bioinformatics and Evolutionary StudiesUniversity of IdahoMoscowUSA
  3. 3.Université de Lyon, INSA-Lyon, INRIA Beagle, CNRS LIRIS UMR5205Villeurbanne France
  4. 4.BioEmergences LabCNRS USR3695Gif-sur-YvetteFrance
  5. 5.Complex Systems Institute Paris Ile-de-France (ISC-PIF), CNRS UPS3611ParisFrance
  6. 6.Department of Biological Sciences, and Institute for Bioinformatics and Evolutionary StudiesUniversity of IdahoMoscowUSA
  7. 7.Dublin City UniversityDublinIreland
  8. 8.The Neurosciences InstituteLa JollaUSA
  9. 9.Cognitive Science, Hampshire CollegeAmherstUSA
  10. 10.Department of Computer Science, and York Centre for Complex Systems AnalysisUniversity of YorkYorkUK
  11. 11.Department of GeographyMemorial University of Newfoundland St. John’sCanada

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