ABBA — Agent Based Beaver Application — Busy Beaver in Swarm

  • Alessandro Perrone
  • Gianluigi Ferraris
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)


In this paper we follow an “evolutionary approach” to solve the ‘’Busy Beaver Game” using agent based techniques.


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  1. 1.
    Goldberg, D. (1989), ”Genetic algorithms in search, optimization & machine learning”, New York, Addison-WesleyzbMATHGoogle Scholar
  2. 2.
    Luna F., Perrone A. (2001), ”Agent based methods in Economics and Finance: simulations in Swarm”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  3. 3.
    Gilbert N., Terna P., (2000) ”How to build and use agent-based models in social science.”, in Mind and Society Google Scholar
  4. 4.
    Minar N., Burkhart R., Langton C., Askenazi M. (1996), ”The SWARM simulation system: a tool-kit for building multi-agent simulations”, working paper Santa Fe InstituteGoogle Scholar
  5. 5.
    Rado, T. (1962), ‘’On non-computable functions”, in The bell System Technical Journal, vol. 41, no 3, pp 877–884MathSciNetGoogle Scholar
  6. 6.
    Perreira, Machado, Costa and Cardoso, (1999) ‘’Busy Beaver, an evolutionary approach”, CIMAF-99, CubaGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Alessandro Perrone
  • Gianluigi Ferraris

There are no affiliations available

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