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Intrinsic emergence boosts adaptive capacity
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Source Genetic And Evolutionary Computation Conference archive
Proceedings of the 2005 conference on Genetic and evolutionary computation table of contents
Washington DC, USA
POSTER SESSION: Coevolution table of contents
Pages: 559 - 560  
Year of Publication: 2005
ISBN:1-59593-010-8
Authors
Christophe Philemotte  Université Libre de Bruxelles, Brussels, Belgium
Hugues Bersini  Université Libre de Bruxelles, Brussels, Belgium
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 18,   Citation Count: 1
Additional Information:

references   cited by   index terms   collaborative colleagues  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
H. Bersini. Whatever emerges should be intrinsically useful. In Artificial life 9, pages 226--231. The MIT Press, 2004.
 
2
J. Crutchfield. Is anything ever new? considering emergence. In D. P. G. Cowan and D. Melzner, editors, Integrative Themes, volume XIX of Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley Publishing Company, Reading, Massachusetts, 1994.

CITED BY
Christophe Philemotte , Hugues Bersini, How an optimal observer can collapse the search space, Proceedings of the 8th annual conference on Genetic and evolutionary computation, July 08-12, 2006, Seattle, Washington, USA

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.8 Problem Solving, Control Methods, and Search
          Subjects: Heuristic methods

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems


General Terms:
Algorithms, Experimentation, Performance


Keywords:
binary adder, cellular automata, genetic algorithm, heuristics, intrinsic emergence, speedup technique

Collaborative Colleagues:
Christophe Philemotte: colleagues
Hugues Bersini: colleagues

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