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[50] R. Dellinger. Roguelike intelligence - genetic algorithms and evolving
state machine AIs. Roguelike Development, July 2009. Online:
http://roguebasin.roguelikedevelopment.org/index.php?title=
Roguelike_Intelligence_-_Genetic_Algorithms_and_Evolving_
State_Machine_AIs.
[51] M. d’Inverno and M. Luck. Understanding Agent Systems. SpringerVerlag, Berlin, 2001.
[52] K. Dopfer. Economics in the Future, pages 3–35. Macmillan, Tokyo,
Japan, 1976.
[53] M. Dorigo. Optimisation, Learning and Natural Algorithms. PhD thesis,
Politecnico di Milano, Italy, 1992.
[54] D. C. Dracopoulos. Evolutionary Learning Algorithms for Neural Adaptive Control, Perspectives in neural computing. Springer, 1997.
[55] J. Duffy. Learning to speculate: Experiments with artificial and real
agents. Journal of Economic Dynamics and Control, 25:295–319, 2001.
[56] J. Epstein. Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton University Press, Princeton, NJ, January
2007.
[57] J. M. Epstein and R. Axtell. Growing Artificial Societies: Social Science
from the Bottom Up. MIT Press, Cambridge, MA, 1996.
[58] M. D. Ernst, J. H. Perkins, P. J. Guo, S. McCamant, C. Pacheco, M. S.
Tschantz, and C. Xiao. The daikon system for dynamic detection of
likely invariants. Science of Computer Programming, 69(1-3):35–45, December 2007.
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Evolutionary Computation, 1(1):77–97, 1993.
[61] D. B. Fogel. Evolutionary Computation: Toward a New Philosophy of
Machine Intelligence. IEEE Press, USA, 1995.
[62] L. J. Fogel. Autonomous automata. Industrial Research, 4:14–19, 1962.
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