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Luis R. Izquierdo is a complex systems modeller with a strong background in mathematics, computer modelling, and economics. His main area of expertise is game theory and the analysis of complex systems (see PhD thesis). Luis is currently lecturing Economics at the University of Burgos (Spain).
e-mail: luis @ izquierdo . name
Research InterestsComplex systems modelling, learning and evolutionary game theory, agent-based modelling, Philosophy of modelling and the use of models, networks, social dilemmas, complexity ... |
A couple of years ago
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Selected Papers
- Techniques to Understand Computer Simulations: Markov Chain Analysis.
[Download]
Izquierdo, L.R., Izquierdo, S.S., Galán J.M. & Santos, J.I. (2009). Journal of Artificial Societies and Social Simulation 12(1)6. - Transient and asymptotic dynamics of reinforcement learning in games. [Download]
Izquierdo, L.R., Izquierdo, S.S., Gotts, N.M. & Polhill, J.G. (2007). Games and Economic Behavior, Volume 61, Issue 2, pp. 259-276. - The impact of quality uncertainty without asymmetric information on market efficiency. [Download]
Izquierdo, S.S. and Izquierdo, L.R. (2007). Journal of Business Research, Volume 60, Issue 8, pp. 858-867. - On the structural robustness of evolutionary models of cooperation. [Download]
Izquierdo, S.S. and Izquierdo, L.R. (2006). Lecture Notes in Computer Science 4224, pp. 172-182. - Is your model susceptible to floating-point errors?. [Download]
Izquierdo, L.R. and Polhill, J.G. (2006). Journal of Artificial Societies and Social Simulation 9(4)4. - Appearances can be deceiving: lessons learned reimplementing Axelrod's "evolutionary approach to norms". [Download]
Galan, J.M. and Izquierdo, L.R. (2005). Journal of Artificial Societies and Social Simulation 8(3)2.
Everything is vague to a degree you do not realize till you have tried to make it precise.
BERTRAND RUSSELL