Enhancing chance discovery: Dimensions, strategies and tools

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3214, Issue , 2004, Pages 793-799

  Howard, Daniel ^a   Edwards, Mark A ^b  

^a UNIVERSITY OF LIMERICK   (Ireland)

^b Wychavon District Council   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

CHANCE DISCOVERY; STRATEGIES AND TOOLS;

KNOWLEDGE BASED SYSTEMS;

EID: 35048823892     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30133-2_104     Document Type: Article

References (13)

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2. John R. Koza, Genetic Programming II, MIT Press.
3. Genrich Altshuller, The Innovation Algorithm, TRIZ, systematic innovation and technical creativity.
4. See discussion in http://www.maths.ox.ac.uk/~lenny/, Leonard A Smith, Senior Common Room, Pembroke College, Oxford.
5. Stafford Beer, Diagnosing the system for organizations, Wiley, 1985.
6. A. E. Boardman, D. H. Greenberg, A. R. Vining, and D. L. Weimer, Cost Benefit Analysis: Concepts and Practice, Prentice Hall, 1996.
7. Stephen Wolfram, A New Kind of Science, Wolfram Media Inc., 2002.
8. David Ruelle, Chaotic Evolution and Strange Attractors Cambridge University Press, 1989.
9. Koutsoyiannis, D., On embedding dimensions and their use to detect deterministic chaos in hydrological processes, Hydrofractals '03, Monte Verita, Ascona, Switzerland, ETH Zurich, MIT, Universit Pierre et Marie Curie, 2003.
10. T. Gisiger, Scale Invariance in Biology: Coincidence or Footprint of a Universal Mechanism?, Biol. Rev. 76, pp. 161-209, Cambridge Philosophical Society.
11. M. O'Neill and Conor Ryan, Grammatical Evolution, IEEE Trans. Evolutionary Computation vol 5, no. 4, pp. 349-358, 2001.
12. W. Banzhaf. Chapter in Genetic Programming Theory and Practice 2003.
13. Stephen Freeland and Laurence Hurst, Evolution Encoded, Scientific American, April, 2004.