Skip to main content
SpringerLink
Log in

An artificial neural network representation for artificial organisms

  • Neural Networks
  • Conference paper
  • First Online:
Book cover Parallel Problem Solving from Nature (PPSN 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 496))

Included in the following conference series:

Abstract

We introduce an artificial neural network (ANN) representation that supports the evolution of complex behaviors in artificial organisms. The strength and location of each connection in the network is specified by a connection descriptor. The connection descriptors are mapped directly into a bit-string to which a genetic algorithm is applied. We empirically compare this representation to other ANN-based representations in the complex AntFarm task.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Robert J. Collins and David R. Jefferson. Representations for artificial organisms. In Jean-Arcady Meyer and Stewart Wilson, editors, Proceedings, Simulation of Adaptive Behavior. The MIT Press/Bradford Books, (in press).

    Google Scholar 

  2. Robert J. Collins and David R. Jefferson. AntFarm: A progress report. In Christopher Langton, J. Doyne Farmer, Steen Rasmussen, and Charles Taylor, editors, Artificial Life II. Addison-Wesley Publishing Company, (submitted, in press).

    Google Scholar 

  3. W. Daniel Hillis. The Connection Machine. The MIT Press, Cambridge, Massachusetts, 1985.

    Google Scholar 

  4. David Jefferson, Robert Collins, Claus Cooper, Michael Dyer, Margot Flowers, Richard Korf, Charles Taylor, and Alan Wang. The Genesys System: Evolution as a theme in artificial life. In Christopher Langton, J. Doyne Farmer, Steen Rasmussen, and Charles Taylor, editors, Artificial Life II. Addison-Wesley Publishing Company, (submitted, in press).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of California, Los Angeles, 90024, Los Angeles, CA

    Robert J. Collins & David R. Jefferson

Authors
  1. Robert J. Collins
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David R. Jefferson
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Hans-Paul Schwefel Reinhard Männer

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Collins, R.J., Jefferson, D.R. (1991). An artificial neural network representation for artificial organisms. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029761

Download citation

  • DOI: https://doi.org/10.1007/BFb0029761

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54148-6

  • Online ISBN: 978-3-540-70652-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation