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Complex System II. Addison Wesley, 1997.
[12] R. Axelrod. The evolution of strategies in the iterated prisoner’s
dilemma. Genetic Algorithms and Simulated Annealing, pages 32–41,
1987.
[13] R. Axelrod. The complexity of Cooperation: Agent-Based Models of
Competition and Collaboration. Princeton University Press, Princeton,
NJ, 1997.
[14] Robert Axelrod. The Evolution of Cooperation. Basic Books, New York,
1984.
[15] T. B¨ ack, F. Hoffmeister, and P. Schwefel. A survey of evolution strategies. Proceedings of the Fourth International Conference on Genetic
Algorithms, pages 2–9, 1991.
[16] T. B¨ ack, D. Vermeulen, and A. E. Eiben.
Tax and Evolution in Sugarscape. Online: http://www.cs.vu.nl/ ~ gusz/papers/
Tax-and-evolution.ps.
[17] H. Bai, M. D. Rolfe, W. Jia, S. Coakley, R. K. Poole, J. Green, and
M. Holcombe. Agent-based modeling of oxygen-responsive transcription
factors in escherichia coli. PLoS Computational Biology, 10(4), 2014.
[18] Mark J. Baldwin. A new factor in evolution. The American Naturalist,
30(354):441–451, June 1896.
[19] J. Barr and F. Saraceno. Cournot competition, organisation and learning. Journal of Economics Dynamics and Control, 29:277–295, 2005.
[20] K. Beck, M. Beedle, A. Bennekum, A. Cockburn, W. Cunningham,
M. Fowler, J. Grenning, J. Highsmith, A. Hunt, R. Jeffries, J. Kern,
B. Marick, R. C. Martin, S. Mellor, K. Schwaber, J. Sutherland, and
D. Thomas. Principles behind the agile manifesto. Agile Alliance, 2001.
[21] E. Beinhocker. The Origin of Wealth: Evolution, Complexity and the
Radical Remaking of Economics. Random House Business Books, April
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[22] J. Bertrand. Book review of theorie mathematique de la richesse sociale
and of recherches sur les principles mathematiques de la theorie des
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[23] M. Bicak. Agent-Based Modeling of Decentralized Ant Behavior Using High Performance Computing. PhD thesis, University of Sheffield,
Sheffield, UK, 2011.
Bibliography
[11] W. B. Arthur, S. N. Durlauf, and D. Lane. The Economy as an Evolving
Complex System II. Addison Wesley, 1997.
[12] R. Axelrod. The evolution of strategies in the iterated prisoner’s
dilemma. Genetic Algorithms and Simulated Annealing, pages 32–41,
1987.
[13] R. Axelrod. The complexity of Cooperation: Agent-Based Models of
Competition and Collaboration. Princeton University Press, Princeton,
NJ, 1997.
[14] Robert Axelrod. The Evolution of Cooperation. Basic Books, New York,
1984.
[15] T. B¨ ack, F. Hoffmeister, and P. Schwefel. A survey of evolution strategies. Proceedings of the Fourth International Conference on Genetic
Algorithms, pages 2–9, 1991.
[16] T. B¨ ack, D. Vermeulen, and A. E. Eiben.
Tax and Evolution in Sugarscape. Online: http://www.cs.vu.nl/ ~ gusz/papers/
Tax-and-evolution.ps.
[17] H. Bai, M. D. Rolfe, W. Jia, S. Coakley, R. K. Poole, J. Green, and
M. Holcombe. Agent-based modeling of oxygen-responsive transcription
factors in escherichia coli. PLoS Computational Biology, 10(4), 2014.
[18] Mark J. Baldwin. A new factor in evolution. The American Naturalist,
30(354):441–451, June 1896.
[19] J. Barr and F. Saraceno. Cournot competition, organisation and learning. Journal of Economics Dynamics and Control, 29:277–295, 2005.
[20] K. Beck, M. Beedle, A. Bennekum, A. Cockburn, W. Cunningham,
M. Fowler, J. Grenning, J. Highsmith, A. Hunt, R. Jeffries, J. Kern,
B. Marick, R. C. Martin, S. Mellor, K. Schwaber, J. Sutherland, and
D. Thomas. Principles behind the agile manifesto. Agile Alliance, 2001.
[21] E. Beinhocker. The Origin of Wealth: Evolution, Complexity and the
Radical Remaking of Economics. Random House Business Books, April
2007.
[22] J. Bertrand. Book review of theorie mathematique de la richesse sociale
and of recherches sur les principles mathematiques de la theorie des
richesses. Journal de Savants, 67:499–508, 1883.
[23] M. Bicak. Agent-Based Modeling of Decentralized Ant Behavior Using High Performance Computing. PhD thesis, University of Sheffield,
Sheffield, UK, 2011.