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Luis R. Izquierdo

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Paolo Zeppini & Koen Frenken & Luis R. Izquierdo, 2013. "Innovation diffusion in networks: the microeconomics of percolation," Working Papers 13-02, Eindhoven Center for Innovation Studies, revised Feb 2013.

    Cited by:

    1. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Technology.
    2. Bogner, Kristina, 2015. "The effect of project funding on innovative performance: An agent-based simulation model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 10-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    3. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    4. Sorin Solomon & Natasa Golo, 2014. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall-Walras Disequilibrium," Papers 1402.0176, arXiv.org.
    5. Nan Lu, 2018. "La modélisation de l’indice CAC 40 avec un modèle basé agent," Erudite Ph.D Dissertations, Erudite, number ph18-02 edited by François Legendre, December.

  2. Koen Frenken & Luis R. Izquierdo & Paolo Zeppini, 2012. "Recombinant Innovation and Endogenous Transitions," Working Papers 12-01, Eindhoven Center for Innovation Studies, revised Jan 2012.

    Cited by:

    1. Lara Agostini & Federico Caviggioli & Francesco Galati & Barbara Bigliardi, 2020. "A social perspective of knowledge-based innovation: mobility and agglomeration. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1309-1323, October.
    2. Aldieri, Luigi & Makkonen, Teemu & Paolo Vinci, Concetto, 2020. "Environmental knowledge spillovers and productivity: A patent analysis for large international firms in the energy, water and land resources fields," Resources Policy, Elsevier, vol. 69(C).
    3. van Meeteren, Michiel & Trincado-Munoz, Francisco & Rubin, Tzameret H. & Vorley, Tim, 2022. "Rethinking the digital transformation in knowledge-intensive services: A technology space analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.
    5. Thomas Brenner & Franziska Pudelko, 2019. "The effects of public research and subsidies on regional structural strength," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1433-1458, November.
    6. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    7. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    8. Bart Los & Carolina Castaldi & Koen Frenken, 2013. "Related Variety, Unrelated Variety and Technological Breakthroughs: An Analysis of U.S. State-Level Patenting," ERSA conference papers ersa13p524, European Regional Science Association.
    9. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    10. Artur Santoalha & Davide Consoli & Fulvio Castellacci, 2019. "Do digital skills foster green diversification? A study of European regions," Working Papers on Innovation Studies 20191029, Centre for Technology, Innovation and Culture, University of Oslo.
    11. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    12. Jürgen Essletzbichler, 2013. "Relatedness, industrial branching and technological cohesion in U.S. metropolitan areas," Papers in Evolutionary Economic Geography (PEEG) 1307, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2013.
    13. André Dumas TSAMBOU & Nicolae BIBU, 2017. "A Comparative Analysis of the Determinants of Innovation Behaviour Between Cameroon, Cote d'Ivoire and Senegal," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(3), pages 234-259, July.
    14. Zhang, JingJing & Yan, Yan & Guan, JianCheng, 2019. "Recombinant distance, network governance and recombinant innovation," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 260-272.
    15. Caviggioli, Federico & Jensen, Paul & Scellato, Giuseppe, 2020. "Highly skilled migrants and technological diversification in the US and Europe," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    16. Maciej Tarkowski, 2021. "On the Emergence of Sociotechnical Regimes of Electric Urban Water Transit Systems," Energies, MDPI, vol. 14(19), pages 1-21, September.
    17. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
    18. Zeppini Rossi, P., 2013. "A Discrete Choice Model of Transitions to Sustainable Technologies," CeNDEF Working Papers 13-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    19. Essletzbichler Jürgen, 2012. "Generalized Darwinism, group selection and evolutionary economic geography," ZFW – Advances in Economic Geography, De Gruyter, vol. 56(1-2), pages 129-146, October.
    20. Maciej Tarkowski & Krystian Puzdrakiewicz, 2021. "Connectivity Benefits of Small Zero-Emission Autonomous Ferries in Urban Mobility—Case of the Coastal City of Gdańsk (Poland)," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    21. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    22. Montresor, Sandro & Quatraro, Francesco, 2018. "Green Technologies and Smart Specialisation Strategies: A European Patent-Based Analysis of the Intertwining of Technological Relatedness and Key-Enabling-Technologies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201804, University of Turin.
    23. P. G. J. Persoon & R. N. A. Bekkers & F. Alkemade, 2020. "How cumulative is technological knowledge?," Papers 2012.00095, arXiv.org, revised May 2021.
    24. M. Lynne Markus & Kevin Mentzer, 2014. "Foresight for a responsible future with ICT," Information Systems Frontiers, Springer, vol. 16(3), pages 353-368, July.

Articles

  1. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2022. "Stability of strict equilibria in best experienced payoff dynamics: Simple formulas and applications," Journal of Economic Theory, Elsevier, vol. 206(C).

    Cited by:

    1. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2023. "Strategy sets closed under payoff sampling," Games and Economic Behavior, Elsevier, vol. 138(C), pages 126-142.

  2. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2020. "Stability for best experienced payoff dynamics," Journal of Economic Theory, Elsevier, vol. 185(C).

    Cited by:

    1. Srinivas Arigapudi & Omer Edhan & Yuval Heller & Ziv Hellman, 2022. "Mentors and Recombinators: Multi-Dimensional Social Learning," Papers 2205.00278, arXiv.org, revised Nov 2023.
    2. Sawa, Ryoji & Wu, Jiabin, 2023. "Statistical inference in evolutionary dynamics," Games and Economic Behavior, Elsevier, vol. 137(C), pages 294-316.
    3. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2023. "Strategy sets closed under payoff sampling," Games and Economic Behavior, Elsevier, vol. 138(C), pages 126-142.
    4. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2019. "Best experienced payoff dynamics and cooperation in the Centipede game," Theoretical Economics, Econometric Society, vol. 14(4), November.
    5. Srinivas Arigapudi & Yuval Heller & Amnon Schreiber, 2021. "Sampling dynamics and stable mixing in hawk-dove games," Papers 2107.08423, arXiv.org, revised Jun 2022.
    6. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Sandholm, William H., 2019. "An introduction to ABED: Agent-based simulation of evolutionary game dynamics," Games and Economic Behavior, Elsevier, vol. 118(C), pages 434-462.
    7. Srinivas Arigapudi & Yuval Heller & Amnon Schreiber, 2023. "Heterogeneous Noise and Stable Miscoordination," Papers 2305.10301, arXiv.org.
    8. Arigapudi, Srinivas & Heller, Yuval & Milchtaich, Igal, 2020. "Instability of Defection in the Prisoner’s Dilemma: Best Experienced Payoff Dynamics Analysis," MPRA Paper 99594, University Library of Munich, Germany.
    9. Arigapudi, Srinivas & Heller, Yuval & Milchtaich, Igal, 2021. "Instability of defection in the prisoner's dilemma under best experienced payoff dynamics," Journal of Economic Theory, Elsevier, vol. 197(C).
    10. Ryoji Sawa, 2022. "Statistical Inference in Evolutionary Dynamics," Working Papers e170, Tokyo Center for Economic Research.
    11. Sethi, Rajiv, 2021. "Stable sampling in repeated games," Journal of Economic Theory, Elsevier, vol. 197(C).
    12. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2022. "Stability of strict equilibria in best experienced payoff dynamics: Simple formulas and applications," Journal of Economic Theory, Elsevier, vol. 206(C).
    13. Arigapudi, Srinivas & Heller, Yuval & Schreiber, Amnon, 2021. "Sampling Dynamics and Stable Mixing in Hawk–Dove Games," MPRA Paper 108819, University Library of Munich, Germany.
    14. Srinivas Arigapudi & Yuval Heller & Igal Milchtaich, 2020. "Instability of Defection in the Prisoner's Dilemma Under Best Experienced Payoff Dynamics," Papers 2005.05779, arXiv.org, revised Jan 2021.

  3. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Sandholm, William H., 2019. "An introduction to ABED: Agent-based simulation of evolutionary game dynamics," Games and Economic Behavior, Elsevier, vol. 118(C), pages 434-462.

    Cited by:

    1. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2019. "Best experienced payoff dynamics and cooperation in the Centipede game," Theoretical Economics, Econometric Society, vol. 14(4), November.
    2. Mertikopoulos, Panayotis & Sandholm, William H., 2018. "Riemannian game dynamics," Journal of Economic Theory, Elsevier, vol. 177(C), pages 315-364.
    3. Jiabin Wu & Hanzhe Zhang, 2022. "Polarization, antipathy, and political activism," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1005-1017, July.
    4. Chen, Shangrong & Bravo-Melgarejo, Sai & Mongeau, Romain & Malavolti, Estelle, 2023. "Adopting and diffusing hydrogen technology in air transport: An evolutionary game theory approach," Energy Economics, Elsevier, vol. 125(C).
    5. Srinivas Arigapudi & Yuval Heller & Amnon Schreiber, 2021. "Sampling dynamics and stable mixing in hawk-dove games," Papers 2107.08423, arXiv.org, revised Jun 2022.
    6. Roland Mühlenbernd & Sławomir Wacewicz & Przemysław Żywiczyński, 2022. "The Evolution of Ambiguity in Sender—Receiver Signaling Games," Games, MDPI, vol. 13(2), pages 1-19, February.
    7. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2023. "Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1433-1476, April.
    8. Wang Zhijian, 2023. "Nash equilibrium selection by eigenvalue control," Papers 2302.09131, arXiv.org.
    9. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2020. "Stability for best experienced payoff dynamics," Journal of Economic Theory, Elsevier, vol. 185(C).
    10. Wang Zhijian, 2022. "Game Dynamics Structure Control by Design: an Example from Experimental Economics," Papers 2203.06088, arXiv.org.
    11. Runtian Zhang & Jinye Li, 2020. "Impact of incentive and selection strength on green technology innovation in Moran process," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-15, June.
    12. Yanping Xu & Lilong Zhu, 2022. "Pharmaceutical Enterprises’ R&D Innovation Cooperation Moran Strategy When Considering Tax Incentives," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    13. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2020. "Double blind vs. open review: an evolutionary game logit-simulating the behavior of authors and reviewers," Papers 2011.07797, arXiv.org.
    14. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    15. Arigapudi, Srinivas & Heller, Yuval & Schreiber, Amnon, 2021. "Sampling Dynamics and Stable Mixing in Hawk–Dove Games," MPRA Paper 108819, University Library of Munich, Germany.
    16. Zhijian Wang & Shujie Zhou & Qinmei Yao & Yijia Wang, 2022. "Dynamic Structure in Four-strategy Game: Theory and Experiment," Papers 2203.14669, arXiv.org.

  4. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2019. "Best experienced payoff dynamics and cooperation in the Centipede game," Theoretical Economics, Econometric Society, vol. 14(4), November.

    Cited by:

    1. Sawa, Ryoji & Wu, Jiabin, 2023. "Statistical inference in evolutionary dynamics," Games and Economic Behavior, Elsevier, vol. 137(C), pages 294-316.
    2. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2023. "Strategy sets closed under payoff sampling," Games and Economic Behavior, Elsevier, vol. 138(C), pages 126-142.
    3. Srinivas Arigapudi & Yuval Heller & Amnon Schreiber, 2021. "Sampling dynamics and stable mixing in hawk-dove games," Papers 2107.08423, arXiv.org, revised Jun 2022.
    4. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Sandholm, William H., 2019. "An introduction to ABED: Agent-based simulation of evolutionary game dynamics," Games and Economic Behavior, Elsevier, vol. 118(C), pages 434-462.
    5. Srinivas Arigapudi & Yuval Heller & Amnon Schreiber, 2023. "Heterogeneous Noise and Stable Miscoordination," Papers 2305.10301, arXiv.org.
    6. Sandholm, William H. & Izquierdo, Segismundo S. & Izquierdo, Luis R., 2020. "Stability for best experienced payoff dynamics," Journal of Economic Theory, Elsevier, vol. 185(C).
    7. Arigapudi, Srinivas & Heller, Yuval & Milchtaich, Igal, 2020. "Instability of Defection in the Prisoner’s Dilemma: Best Experienced Payoff Dynamics Analysis," MPRA Paper 99594, University Library of Munich, Germany.
    8. Arigapudi, Srinivas & Heller, Yuval & Milchtaich, Igal, 2021. "Instability of defection in the prisoner's dilemma under best experienced payoff dynamics," Journal of Economic Theory, Elsevier, vol. 197(C).
    9. Ryoji Sawa, 2022. "Statistical Inference in Evolutionary Dynamics," Working Papers e170, Tokyo Center for Economic Research.
    10. Sethi, Rajiv, 2021. "Stable sampling in repeated games," Journal of Economic Theory, Elsevier, vol. 197(C).
    11. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    12. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2022. "Stability of strict equilibria in best experienced payoff dynamics: Simple formulas and applications," Journal of Economic Theory, Elsevier, vol. 206(C).
    13. Arigapudi, Srinivas & Heller, Yuval & Schreiber, Amnon, 2021. "Sampling Dynamics and Stable Mixing in Hawk–Dove Games," MPRA Paper 108819, University Library of Munich, Germany.
    14. Srinivas Arigapudi & Yuval Heller & Igal Milchtaich, 2020. "Instability of Defection in the Prisoner's Dilemma Under Best Experienced Payoff Dynamics," Papers 2005.05779, arXiv.org, revised Jan 2021.

  5. Segismundo S. Izquierdo & Luis R. Izquierdo, 2018. "Mamdani Fuzzy Systems for Modelling and Simulation: A Critical Assessment," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-2.

    Cited by:

    1. Dimitrios Kontogiannis & Dimitrios Bargiotas & Aspassia Daskalopulu, 2021. "Fuzzy Control System for Smart Energy Management in Residential Buildings Based on Environmental Data," Energies, MDPI, vol. 14(3), pages 1-18, February.

  6. Isabel Almudi & Francisco Fatas-Villafranca & Luis R. Izquierdo & Jason Potts, 2017. "The economics of utopia: a co-evolutionary model of ideas, citizenship and socio-political change," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 629-662, September.

    Cited by:

    1. Darcy W E Allen, 2020. "When Entrepreneurs Meet:The Collective Governance of New Ideas," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0269, December.
    2. Isabel Almudi & Francisco Fatas-Villafranca & Jason Potts, 2017. "Utopia competition: a new approach to the micro-foundations of sustainability transitions," Journal of Bioeconomics, Springer, vol. 19(1), pages 165-185, April.
    3. Mikayla Novak, 2021. "Social innovation and Austrian economics: Exploring the gains from intellectual trade," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 34(1), pages 129-147, March.
    4. Brendan Markey-Towler, 2021. "Psychology of evolutionary economic behaviour," Evolutionary and Institutional Economics Review, Springer, vol. 18(2), pages 361-383, September.
    5. Brendan Markey-Towler, 2018. "A formal psychological theory for evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 691-725, September.
    6. Vyacheslav V. Volchik & Maxim A. Koryttsev & Elena V. Maslyukova, 2019. "Institutions and ideology of managerialism in higher education and science," Upravlenets, Ural State University of Economics, vol. 10(6), pages 15-27, December.
    7. Sophie Urmetzer & Michael P. Schlaile & Kristina B. Bogner & Matthias Mueller & Andreas Pyka, 2018. "Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    8. Gianpaolo Abatecola & Alberto Surace, 2020. "Discussing the Use of Complexity Theory in Engineering Management: Implications for Sustainability," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    9. Abatecola, Gianpaolo & Breslin, Dermot & Kask, Johan, 2020. "Do organizations really co-evolve? Problematizing co-evolutionary change in management and organization studies," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

  7. Luis R. Izquierdo & Doina Olaru & Segismundo S. Izquierdo & Sharon Purchase & Geoffrey N. Soutar, 2015. "Fuzzy Logic for Social Simulation Using NetLogo," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-1.

    Cited by:

    1. Sergio F. Góngora y Moreno & J. Octavio Gutierrez-Garcia, 2018. "Collective action in organizational structures," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 1-33, March.

  8. Segismundo S. Izquierdo & Luis R. Izquierdo, 2015. "The “Win-Continue, Lose-Reverse” Rule In Oligopolies: Robustness Of Collusive Outcomes," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-23, August.

    Cited by:

    1. Timo Klein, 2018. "Autonomous Algorithmic Collusion: Q-Learning Under Sequantial Pricing," Tinbergen Institute Discussion Papers 18-056/VII, Tinbergen Institute, revised 01 Nov 2020.
    2. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.

  9. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Vega-Redondo, Fernando, 2014. "Leave and let leave: A sufficient condition to explain the evolutionary emergence of cooperation," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 91-113.

    Cited by:

    1. Daniele Nosenzo & Fabio Tufano, 2017. "The Effect of Voluntary Participation on Cooperation," Discussion Papers 2017-12, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    2. Jiabin Wu, 2021. "Matching markets and cultural selection," Review of Economic Design, Springer;Society for Economic Design, vol. 25(4), pages 267-288, December.
    3. Daniele Nosenzo & Fabio Tufano, 2015. "Entry or Exit? The Effect of Voluntary Participation on Cooperation," Discussion Papers 2015-04, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Takako Fujiwara-Greve & Masahiro Okuno-Fujiwara, 2013. "Diverse Behavior Patterns in a Symmetric Society with Voluntary Partnerships," Working Papers e062, Tokyo Center for Economic Research.
    5. Kurokawa, Shun, 2022. "Evolution of trustfulness in the case where resources for cooperation are sometimes absent," Theoretical Population Biology, Elsevier, vol. 145(C), pages 63-79.
    6. Kurokawa, Shun & Zheng, Xiudeng & Tao, Yi, 2019. "Cooperation evolves more when players keep the interaction with unknown players," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 209-216.
    7. Zhang, Hong, 2015. "Moderate tolerance promotes tag-mediated cooperation in spatial Prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 52-61.
    8. Takako Fujiwara-Greve & Masahiro Okuno-Fujiwara & Nobue Suzuki, 2015. "Efficiency may improve when defectors exist," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(3), pages 423-460, November.
    9. Pin, Paolo & Rogers, Brian W., 2015. "Cooperation, punishment and immigration," Journal of Economic Theory, Elsevier, vol. 160(C), pages 72-101.
    10. Jiabin Wu, 2020. "Labelling, homophily and preference evolution," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 1-22, March.
    11. Li, Yan & Ye, Hang & Zhang, Hong, 2016. "Evolution of cooperation driven by social-welfare-based migration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 48-56.
    12. Strømland, Eirik & Tjøtta, Sigve & Torsvik, Gaute, 2016. "Reciprocity evolving: partner choice and communication in a repeated prisoner’s dilemma," Working Papers in Economics 01/16, University of Bergen, Department of Economics.
    13. Strømland, Eirik & Tjøtta, Sigve & Torsvik, Gaute, 2018. "Mutual choice of partner and communication in a repeated prisoner's dilemma," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 12-23.
    14. Zeng, Weijun & Ai, Hongfeng & Zhao, Man, 2019. "Asymmetrical expectations of future interaction and cooperation in the iterated prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 359(C), pages 148-164.
    15. Jiabin Wu, 2016. "Evolving assortativity and social conventions," Economics Bulletin, AccessEcon, vol. 36(2), pages 936-941.
    16. Premo, L.S. & Brown, Justin R., 2019. "The opportunity cost of walking away in the spatial iterated prisoner’s dilemma," Theoretical Population Biology, Elsevier, vol. 127(C), pages 40-48.
    17. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    18. Serdarevic, Nina & Strømland, Eirik & Tjøtta, Sigve, 2018. "It Pays to be Nice: The Benefits of Cooperating in Markets," Working Papers in Economics 12/18, University of Bergen, Department of Economics.
    19. Qu, Xinglong & Zhou, Changli & Cao, Zhigang & Yang, Xiaoguang, 2016. "Conditional dissociation as a punishment mechanism in the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 215-223.
    20. Jiabin Wu, 2017. "Social Hierarchy and the Evolution of Behavior," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-16, December.

  10. Isabel Almudi & Francisco Fatas-Villafranca & Luis Izquierdo, 2013. "Industry dynamics, technological regimes and the role of demand," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1073-1098, November.

    Cited by:

    1. Elena Cefis & Franco Malerba & Orietta Marsili & Luigi Orsenigo, 2021. "Time to exit: “revolving door effect” or “Schumpeterian gale of creative destruction”?," Journal of Evolutionary Economics, Springer, vol. 31(5), pages 1465-1494, November.
    2. Peili Yu & Junguo Shi & Bert M. Sadowski & Önder Nomaler, 2020. "Catching Up in the Face of Technological Discontinuity: Exploring the Role of Demand Structure and Technological Regimes in the Transition from 2G to 3G in China," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 815-841, July.
    3. Blom, Martin & Castellacci, Fulvio & Fevolden, Arne, 2012. "Defence firms facing liberalization: innovation and export in an agent-based model of the defence industry," MPRA Paper 35702, University Library of Munich, Germany.
    4. Isabel Almudi & Francisco Fatas-Villafranca & Jesus Palacio & Julio Sanchez-Choliz, 2020. "Pricing routines and industrial dynamics," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 705-739, July.
    5. Isabel Almudi & Francisco Fatas-Villafranca & Luis R. Izquierdo & Jason Potts, 2017. "The economics of utopia: a co-evolutionary model of ideas, citizenship and socio-political change," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 629-662, September.
    6. Pierre Barbaroux & Victor Santos Paulino, 2022. "Why do motives matter? A demand-based view of the dynamics of a complex products and systems (CoPS) industry," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1175-1204, September.
    7. Mansour Naser Alraja & Faris Alshubiri & Basel M. Khashab & Mahmood Shah, 2023. "The financial access, ICT trade balance and dark and bright sides of digitalization nexus in OECD countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 177-209, June.
    8. Isabel Almudi & Francisco Fatas-Villafranca & Gloria Jarne & Julio Sanchez-Choliz, 2017. "Rethinking Macroeconomic Policy within a Simple Dynamic Model," Metroeconomica, Wiley Blackwell, vol. 68(3), pages 425-464, July.
    9. Fulvio Castellacci & Arne Fevolden, 2015. "Innovation and Liberalization in the European Defence Sector," Books, Edward Elgar Publishing, number 15941.
    10. Cantner, Uwe & Vannuccini, Simone, 2021. "Pervasive technologies and industrial linkages: Modeling acquired purposes," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 386-399.

  11. Isabel Almudi & Francisco Fatas-Villafranca & Luis R. Izquierdo, 2012. "Innovation, catch-up, and leadership in science-based industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 21(2), pages 345-375, April.

    Cited by:

    1. Lu Xu & Jie Xiong & Jie Yan & Richard Soparnot & Zhe Yuan, 2023. "Technological Uncertainty and Catch-Up Patterns: Insights of Four Chinese Manufacturing Sectors," Post-Print hal-04011634, HAL.
    2. Isabel Almudi & Francisco Fatas-Villafranca & Luis Izquierdo, 2013. "Industry dynamics, technological regimes and the role of demand," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1073-1098, November.
    3. Isabel Almudi & Francisco Fatas-Villafranca & Jesus Palacio & Julio Sanchez-Choliz, 2020. "Pricing routines and industrial dynamics," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 705-739, July.
    4. Lu Xu & Jie Xiong & Jie Yan & Richard Soparnot & Zhe Yuan, 2023. "Technological Uncertainty and Catch-Up Patterns: Insights of Four Chinese Manufacturing Sectors," Grenoble Ecole de Management (Post-Print) hal-04011634, HAL.
    5. Isabel Almudi & Francisco Fatas-Villafranca & Luis R. Izquierdo & Jason Potts, 2017. "The economics of utopia: a co-evolutionary model of ideas, citizenship and socio-political change," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 629-662, September.
    6. Yuzhe Miao & Jaeyong Song & Keun Lee & Chuyue Jin, 2018. "Technological catch-up by east Asian firms: Trends, issues, and future research agenda," Asia Pacific Journal of Management, Springer, vol. 35(3), pages 639-669, September.
    7. Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

  12. Segismundo S. Izquierdo & Luis R. Izquierdo, 2011. "Strictly Dominated Strategies in the Replicator-Mutator Dynamics," Games, MDPI, vol. 2(3), pages 1-10, September.

    Cited by:

    1. Situngkir, Hokky & Prasetyo, Yanu Endar, 2012. "On social and economic spheres: an observation of the “gantangan” Indonesian tradition," MPRA Paper 39671, University Library of Munich, Germany.
    2. Brian Mintz & Feng Fu, 2022. "The Point of No Return: Evolution of Excess Mutation Rate Is Possible Even for Simple Mutation Models," Mathematics, MDPI, vol. 10(24), pages 1-9, December.

  13. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.

    Cited by:

    1. Jacopo Baggio & Elissaios Papyrakis, 2014. "Agent-Based Simulations of Subjective Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 623-635, January.
    2. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    3. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    4. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    5. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
    6. J. Gareth Polhill, 2015. "Extracting OWL Ontologies from Agent-Based Models: A Netlogo Extension," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-15.
    7. Sara Lumbreras & Sonja Wogrin & Guillermo Navarro & Ilaria Bertazzi & Maria Pereda, 2019. "A Decentralized Solution for Transmission Expansion Planning: Getting Inspiration from Nature," Energies, MDPI, vol. 12(23), pages 1-17, November.
    8. Rubén Fuentes-Fernández & Samer Hassan & Juan Pavón & José M. Galán & Adolfo López-Paredes, 2012. "Metamodels for role-driven agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 91-112, March.
    9. Bernardo Alves Furtado & Gustavo Onofre Andre~ao, 2022. "Machine Learning Simulates Agent-Based Model Towards Policy," Papers 2203.02576, arXiv.org, revised Nov 2022.
    10. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    11. Nancy Quinceno Cárdenas, 2014. "Modelación basada en agentes en el sistema pensional colombiano. Una aproximación desde el mercado laboral y la dinámica poblacional," Revista CIFE, Universidad Santo Tomás, September.
    12. Sung-youn Kim, 2011. "A Model of Political Judgment: An Agent-Based Simulation of Candidate Evaluation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-3.
    13. Bernardo Alves Furtado, 2018. "Modeling tax distribution in metropolitan regions with PolicySpace," Papers 1901.02391, arXiv.org.
    14. José M Galán & Maciej M Łatek & Seyed M Mussavi Rizi, 2011. "Axelrod's Metanorm Games on Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-11, May.
    15. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    16. Barroso, Ricardo Vieira & Lima, Joaquim Ignacio Alves Vasconcellos & Lucchetti, Alexandre Henrique & Cajueiro, Daniel Oliveira, 2016. "Interbank network and regulation policies: an analysis through agent-based simulations with adaptive learning," MPRA Paper 73308, University Library of Munich, Germany.
    17. Kolkman, Daan, 2020. "The usefulness of algorithmic models in policy making," SocArXiv hpma8, Center for Open Science.
    18. Georg Holtz & Christian Schnülle & Malcolm Yadack & Jonas Friege & Thorben Jensen & Pablo Thier & Peter Viebahn & Émile J. L. Chappin, 2020. "Using Agent-Based Models to Generate Transformation Knowledge for the German Energiewende—Potentials and Challenges Derived from Four Case Studies," Energies, MDPI, vol. 13(22), pages 1-26, November.

  14. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.

    Cited by:

    1. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    2. Akihisa Okada & Daisuke Inoue & Shihori Koyama & Tadayoshi Matsumori & Hiroaki Yoshida, 2022. "Dynamical cooperation model for mitigating the segregation phase in Schelling’s model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(10), pages 1-10, October.
    3. Wyburn, John & Hayward, John, 2019. "An application of an analogue of the partition function to the evolution of diglossia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 447-463.
    4. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    5. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
    6. Pfau, Jens & Kirley, Michael & Kashima, Yoshihisa, 2013. "The co-evolution of cultures, social network communities, and agent locations in an extension of Axelrod’s model of cultural dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 381-391.
    7. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    8. Corrado Di Guilmi & Laura Carvalho, 2016. "The Dynamics Of Leverage In A Demand-Driven Model With Heterogeneous Firms," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 141, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Sven Banischa & Ricardo Lima & Tanya Araújo, 2012. "Agent based models and opinion dynamics as markov chains," Working Papers Department of Economics 2012/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    10. Declan Mungovan & Enda Howley & Jim Duggan, 2011. "The influence of random interactions and decision heuristics on norm evolution in social networks," Computational and Mathematical Organization Theory, Springer, vol. 17(2), pages 152-178, May.
    11. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    12. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    13. José M Galán & Maciej M Łatek & Seyed M Mussavi Rizi, 2011. "Axelrod's Metanorm Games on Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-11, May.
    14. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    15. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.

  15. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.

    Cited by:

    1. Cheng, Yuan & Zheng, Xiaoping, 2018. "Emergence of cooperation during an emergency evacuation," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 485-494.
    2. Jia, Danyang & Li, Tong & Zhao, Yang & Zhang, Xiaoqin & Wang, Zhen, 2022. "Empty nodes affect conditional cooperation under reinforcement learning," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    3. Li Zhenpeng & Tang Xijin, 2021. "Stimuli strategy and learning dynamics promote the wisdom of crowds," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(12), pages 1-8, December.
    4. Dan Miodownik & Britt Cartrite & Ravi Bhavnani, 2010. "Between Replication and Docking: "Adaptive Agents, Political Institutions, and Civic Traditions" Revisited," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-1.
    5. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    6. John W. Straka & Brenda C. Straka, 2020. "Reframe policymaking dysfunction through bipartisan-inclusion leadership," Policy Sciences, Springer;Society of Policy Sciences, vol. 53(4), pages 779-802, December.
    7. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.

  16. Alex Smajgl & Luis R. Izquierdo & Marco Huigen, 2008. "Modeling Endogenous Rule Changes In An Institutional Context: The Adico Sequence," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 199-215.

    Cited by:

    1. Achim Schlüter & Insa Theesfeld, 2010. "The grammar of institutions: The challenge of distinguishing between strategies, norms, and rules," Rationality and Society, , vol. 22(4), pages 445-475, November.

  17. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2007. "The impact of quality uncertainty without asymmetric information on market efficiency," Journal of Business Research, Elsevier, vol. 60(8), pages 858-867, August.

    Cited by:

    1. He, Zhou & Cheng, T.C.E. & Dong, Jichang & Wang, Shouyang, 2016. "Evolutionary location and pricing strategies for service merchants in competitive O2O markets," European Journal of Operational Research, Elsevier, vol. 254(2), pages 595-609.
    2. Mariia Rochikashvili & Jan C. Bongaerts, 2018. "How Eco-Labelling Influences Environmentally Conscious Consumption of Construction Products," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    3. Gong, Cynthia M. & Lizieri, Colin & Bao, Helen X.H., 2019. "“Smarter information, smarter consumers”? Insights into the housing market," Journal of Business Research, Elsevier, vol. 97(C), pages 51-64.
    4. Hoang, Cong Huan & Ly, Kim Cuong & Xiao, Qin & Zhang, Xuan, 2023. "Does national culture impact trade credit provision of SMEs?," Economic Modelling, Elsevier, vol. 124(C).
    5. Yi-Chen Huang & Tak-Yu Cheng & Bin-Tzong Chie, 2022. "The Effect of Dishonest Sellers on E-commerce: An Agent-Based Modeling Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(4), pages 1-5.
    6. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    7. Michał Kot, 2022. "An agent-based model of consumer choice. An evaluation of the strategy of pricing and advertising," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 32(1), pages 73-95.
    8. Nicolau, Juan Luis & Sellers, Ricardo, 2010. "The quality of quality awards: Diminishing information asymmetries in a hotel chain," Journal of Business Research, Elsevier, vol. 63(8), pages 832-839, August.
    9. Justin Malbon, 2013. "Taking Fake Online Consumer Reviews Seriously," Journal of Consumer Policy, Springer, vol. 36(2), pages 139-157, June.
    10. Bharat Bhole & Bríd Hanna, 2015. "Word-of-Mouth Communication and Demand for Products with Different Quality Levels," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 627-651, December.
    11. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.

  18. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Gotts, Nicholas M. & Polhill, J. Gary, 2007. "Transient and asymptotic dynamics of reinforcement learning in games," Games and Economic Behavior, Elsevier, vol. 61(2), pages 259-276, November.

    Cited by:

    1. Ianni, Antonella, 2014. "Learning strict Nash equilibria through reinforcement," Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 148-155.
    2. Xiaopeng Li & Zhonglin Wang & Jiuqiang Liu & Guihai Yu, 2023. "The Sense of Cooperation on Interdependent Networks Inspired by Influence-Based Self-Organization," Mathematics, MDPI, vol. 11(4), pages 1-16, February.
    3. Oyarzun, Carlos & Sarin, Rajiv, 2013. "Learning and risk aversion," Journal of Economic Theory, Elsevier, vol. 148(1), pages 196-225.
    4. Jia, Danyang & Li, Tong & Zhao, Yang & Zhang, Xiaoqin & Wang, Zhen, 2022. "Empty nodes affect conditional cooperation under reinforcement learning," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    5. Heymann, D. & Kawamura, E. & Perazzo, R. & Zimmermann, M.G., 2014. "Behavioral heuristics and market patterns in a Bertrand–Edgeworth game," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 124-139.
    6. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
    7. Sung-youn Kim, 2012. "A model of political information-processing and learning cooperation in the repeated Prisoner’s Dilemma," Journal of Theoretical Politics, , vol. 24(1), pages 46-65, January.
    8. Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
    9. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    10. Yu Zhang & Jason Leezer, 2010. "Simulating human-like decisions in a memory-based agent model," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 373-399, December.
    11. Dridi, Slimane & Lehmann, Laurent, 2014. "On learning dynamics underlying the evolution of learning rules," Theoretical Population Biology, Elsevier, vol. 91(C), pages 20-36.
    12. Liangliang Chang & Zhipeng Zhang & Chengyi Xia, 2023. "Impact of Decision Feedback on Networked Evolutionary Game with Delays in Control Channel," Dynamic Games and Applications, Springer, vol. 13(3), pages 783-800, September.
    13. Wang, Xianjia & Yang, Zhipeng & Liu, Yanli & Chen, Guici, 2023. "A reinforcement learning-based strategy updating model for the cooperative evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    14. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.

  19. Luis R. Izquierdo & J. Gareth Polhill, 2006. "Is Your Model Susceptible to Floating-Point Errors?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-4.

    Cited by:

    1. Uri Wilensky & William Rand, 2007. "Making Models Match: Replicating an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-2.
    2. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    3. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.

  20. J. Gareth Polhill & Luis R. Izquierdo, 2005. "Lessons Learned from Converting the Artificial Stock Market to Interval Arithmetic," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(2), pages 1-2.

    Cited by:

    1. Uri Wilensky & William Rand, 2007. "Making Models Match: Replicating an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-2.
    2. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    3. Luis R. Izquierdo & J. Gareth Polhill, 2006. "Is Your Model Susceptible to Floating-Point Errors?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-4.
    4. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.

  21. José Manuel Galán & Luis R. Izquierdo, 2005. "Appearances Can Be Deceiving: Lessons Learned Re-Implementing Axelrod's 'Evolutionary Approach to Norms'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(3), pages 1-2.

    Cited by:

    1. Uri Wilensky & William Rand, 2007. "Making Models Match: Replicating an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-2.
    2. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    3. J. Gareth Polhill & Bruce Edmonds, 2007. "Open Access for Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-10.
    4. J. Gareth Polhill & Edoardo Pignotti & Nicholas M. Gotts & Pete Edwards & Alun Preece, 2007. "A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-2.
    5. Hitoshi Yamamoto & Takahisa Suzuki, 2018. "Effects of beliefs about sanctions on promoting cooperation in a public goods game," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-6, December.
    6. Claudio J. Tessone & Angel Sanchez & Frank Schweitzer, "undated". "Diversity-induced resonance in the response to social norms," Working Papers ETH-RC-12-017, ETH Zurich, Chair of Systems Design.
    7. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    8. Fujio Toriumi & Hitoshi Yamamoto & Isamu Okada, 2020. "A belief in rewards accelerates cooperation on consumer-generated media," Journal of Computational Social Science, Springer, vol. 3(1), pages 19-31, April.
    9. Dirk Helbing & Anders Johansson, 2010. "Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-15, October.
    10. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    11. Yamamoto, Hitoshi & Okada, Isamu, 2016. "How to keep punishment to maintain cooperation: Introducing social vaccine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 526-536.
    12. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    13. José M Galán & Maciej M Łatek & Seyed M Mussavi Rizi, 2011. "Axelrod's Metanorm Games on Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-11, May.
    14. Peter Revay & Claudio Cioffi-Revilla, 2018. "Survey of evolutionary computation methods in social agent-based modeling studies," Journal of Computational Social Science, Springer, vol. 1(1), pages 115-146, January.
    15. Martin Neumann, 2008. "Homo Socionicus: a Case Study of Simulation Models of Norms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(4), pages 1-6.
    16. Luis R. Izquierdo & J. Gareth Polhill, 2006. "Is Your Model Susceptible to Floating-Point Errors?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-4.
    17. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.
    18. Bruce Edmonds, 2010. "Bootstrapping Knowledge About Social Phenomena Using Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-8.

  22. Luis R. Izquierdo & Nicholas M. Gotts & J. Gareth Polhill, 2004. "Case-Based Reasoning, Social Dilemmas, and a New Equilibrium Concept," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(3), pages 1-1.

    Cited by:

    1. Luis R. Izquierdo & J. Gareth Polhill, 2006. "Is Your Model Susceptible to Floating-Point Errors?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-4.

  23. J. Gareth Polhill & Luis R. Izquierdo & Nicholas M. Gotts, 2004. "The Ghost in the Model (and Other Effects of Floating Point Arithmetic)," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(1), pages 1-5.

    Cited by:

    1. Uri Wilensky & William Rand, 2007. "Making Models Match: Replicating an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-2.
    2. J. Gareth Polhill & Bruce Edmonds, 2007. "Open Access for Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-10.
    3. Chueh-Yung Tsao & Ya-Chi Huang, 2018. "Revisiting the issue of survivability and market efficiency with the Santa Fe Artificial Stock Market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 537-560, October.
    4. J. Gareth Polhill & Edoardo Pignotti & Nicholas M. Gotts & Pete Edwards & Alun Preece, 2007. "A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-2.
    5. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    6. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Evolutionary Frequency and Forecasting Accuracy: Simulations Based on an Agent-Based Artificial Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 79-104, June.
    7. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    8. Rainer Hegselmann & Stefan König & Sascha Kurz & Christoph Niemann & Jörg Rambau, 2015. "Optimal Opinion Control: The Campaign Problem," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(3), pages 1-18.
    9. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.

Chapters

  1. Segismundo S. Izquierdo & Luis R. Izquierdo, 2015. "The “Win-Continue, Lose-Reverse” Rule in Cournot Oligopolies: Robustness of Collusive Outcomes," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 33-44, Springer.

    Cited by:

    1. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.

  2. Luis R. Izquierdo & Nicholas M. Gotts, 2006. "The Implications of Case-Based Reasoning in Strategic Contexts," Lecture Notes in Economics and Mathematical Systems, in: M. Beckmann & H. P. Künzi & G. Fandel & W. Trockel & A. Basile & A. Drexl & H. Dawid & K. Inderfurth (ed.), Artificial Economics, pages 163-174, Springer.

    Cited by:

    1. Julia Schindler, 2012. "Rethinking the Tragedy of the Commons: The Integration of Socio-Psychological Dispositions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-4.

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