Luis R. Izquierdo

Orcid: 0000-0003-1057-4465

According to our database1, Luis R. Izquierdo authored at least 27 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Strategy sets closed under payoff sampling.
Games Econ. Behav., March, 2023

Social Simulation Models as Refuting Machines.
J. Artif. Soc. Soc. Simul., 2023

2022
Fast and Scalable Global Convergence in Single-Optimum Decentralized Coordination Problems.
IEEE Trans. Control. Netw. Syst., 2022

Stability of strict equilibria in best experienced payoff dynamics: Simple formulas and applications.
J. Econ. Theory, 2022

2020
Stability for best experienced payoff dynamics.
J. Econ. Theory, 2020

2019
An introduction to <i>ABED</i>: Agent-based simulation of evolutionary game dynamics.
Games Econ. Behav., 2019

2018
EvoDyn-3s: A Mathematica computable document to analyze evolutionary dynamics in 3-strategy games.
SoftwareX, 2018

Mamdani Fuzzy Systems for Modelling and Simulation: A Critical Assessment.
J. Artif. Soc. Soc. Simul., 2018

2017
Combining Mathematical and Simulation Approaches to Understand the Dynamics of Computer Models.
Proceedings of the Simulating Social Complexity - A Handbook, 2017

Checking Simulations: Detecting and Avoiding Errors and Artefacts.
Proceedings of the Simulating Social Complexity - A Handbook, 2017

2015
Fuzzy Logic for Social Simulation Using NetLogo.
J. Artif. Soc. Soc. Simul., 2015

The "Win-Continue, Lose-Reverse" Rule in Oligopolies: robustness of collusive Outcomes.
Adv. Complex Syst., 2015

2011
Strictly Dominated Strategies in the Replicator-Mutator Dynamics.
Games, 2011

2010
<i>Complexity: A Guided Tour</i>. Melanie Mitchell. (2009, New York: Oxford University Press.) $29.95, 368 pages.
Artif. Life, 2010

2009
Techniques to Understand Computer Simulations: Markov Chain Analysis.
J. Artif. Soc. Soc. Simul., 2009

Errors and Artefacts in Agent-Based Modelling.
J. Artif. Soc. Soc. Simul., 2009

Nice and Nasty Lawyers, is the Legal System to Blame? - Agent-based simulation insights.
Proceedings of the Legal Knowledge and Information Systems, 2009

2008
Reinforcement Learning Dynamics in Social Dilemmas.
J. Artif. Soc. Soc. Simul., 2008

Modeling Endogenous Rule Changes in an Institutional Context: the Adico Sequence.
Adv. Complex Syst., 2008

2007
Transient and asymptotic dynamics of reinforcement learning in games.
Games Econ. Behav., 2007

2006
Is Your Model Susceptible to Floating-Point Errors?
J. Artif. Soc. Soc. Simul., 2006

What every agent-based modeller should know about floating point arithmetic.
Environ. Model. Softw., 2006

On the Structural Robustness of Evolutionary Models of Cooperation.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
The Ghost in the Model (and Other Effects of Floating Point Arithmetic).
J. Artif. Soc. Soc. Simul., 2005

Lessons Learned from Converting the Artificial Stock Market to Interval Arithmetic.
J. Artif. Soc. Soc. Simul., 2005

Appearances Can Be Deceiving: Lessons Learned Re-Implementing Axelrod's 'Evolutionary Approach to Norms'.
J. Artif. Soc. Soc. Simul., 2005

2004
Case-Based Reasoning, Social Dilemmas, and a New Equilibrium Concept.
J. Artif. Soc. Soc. Simul., 2004


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