Aspiration-Based Reinforcement Learning In Repeated Interaction Games: An Overview
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DOI: 10.1142/S0219198901000348
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- Li, Cong & Xu, Hedong & Fan, Suohai, 2020. "Synergistic effects of self-optimization and imitation rules on the evolution of cooperation in the investor sharing game," Applied Mathematics and Computation, Elsevier, vol. 370(C).
- Oindrila Dey & Debalina Chakravarty, 2020.
"Electric Street Car as a Clean Public Transport Alternative: A Choice Experiment Approach,"
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2042, Indian Institute of Foreign Trade.
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- Siegfried Berninghaus & Werner Güth & M. Vittoria Levati & Jianying Qiu, 2006.
"Satisficing in sales competition: experimental evidence,"
Papers on Strategic Interaction
2006-32, Max Planck Institute of Economics, Strategic Interaction Group.
- Siegfried Berninghaus & Werner Güth & M. Vittoria Levati & Jianying Qiu, 2009. "Satisficing in sales competition: experimental evidence," Working Papers 2009-14, Faculty of Economics and Statistics, Universität Innsbruck.
- Berninghaus, Siegrfried K. & Güth, Werner & Levati, M. Vittoria & Qiu, Jianying, 2007. "Satisficing in sales competition : experimental evidence," Papers 07-03, Sonderforschungsbreich 504.
- Berninghaus, Siegfried K. & Gueth, Werner & Levati, M. Vittoria & Qiu, Jianying, 2007. "Satisficing in sales competition: experimental evidence," Sonderforschungsbereich 504 Publications 07-03, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
- Takahiro Ezaki & Yutaka Horita & Masanori Takezawa & Naoki Masuda, 2016. "Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-13, July.
- Peiran Jiao & Heinrich H. Nax, 2016.
"When is Market the Benchmark? Reinforcement Evidence from Repurchase Decisions,"
Economics Papers
2016-W01, Economics Group, Nuffield College, University of Oxford.
- Heinrich H. Nax, 2016. "When is Market the Benchmark? Reinforcement Evidence from Repurchase Decisions," Economics Series Working Papers 781, University of Oxford, Department of Economics.
- He, Zhongzhi (Lawrence), 2023. "A Gradient-based reinforcement learning model of market equilibration," Journal of Economic Dynamics and Control, Elsevier, vol. 152(C).
- Lekfuangfu, Warn N. & Odermatt, Reto, 2022.
"All I have to do is dream? The role of aspirations in intergenerational mobility and well-being,"
European Economic Review, Elsevier, vol. 148(C).
- Warn N. Lekfuangfu & Reto Odermatt, 2020. "All I have to do is dream? The role of aspirations in intergenerational mobility and well-being," RF Berlin - CReAM Discussion Paper Series 2016, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Nuarpear Lekfuangfu & Reto Odermatt, 2020. "All I Have to Do Is Dream? The Role of Aspirations in Intergenerational Mobility and Well-Being," PIER Discussion Papers 142, Puey Ungphakorn Institute for Economic Research.
- Duffy, John, 2006.
"Agent-Based Models and Human Subject Experiments,"
Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011,
Elsevier.
- John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, University Library of Munich, Germany.
- MacLeod, W. Bentley & Pingle, Mark, 2005. "Aspiration uncertainty: its impact on decision performance and process," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 617-629, April.
- 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.
- Daniel Heymann & Enrique Kawamura & Roberto Perazzo & Martin Zimmermann, 2011. "Behavioral Heuristics and Market Patterns in a Bertrand-Edgeworth Game," Working Papers 108, Universidad de San Andres, Departamento de Economia, revised Mar 2011.
- Takahiro Ezaki & Naoki Masuda, 2017. "Reinforcement learning account of network reciprocity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-8, December.
- 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.
- 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.
- Marcin Dziubinski & Jaideep Roy, 2007.
"Endogenous Selection of Aspiring and Rational rules in Coordination Games,"
CEDI Discussion Paper Series
07-14, Centre for Economic Development and Institutions(CEDI), Brunel University.
- Dziubinski, Marcin & Roy, Jaideep, 2007. "Endogenous selection of aspiring and rational rules in coordination games," MPRA Paper 5941, University Library of Munich, Germany.
- 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.
- Napel, Stefan, 2003. "Aspiration adaptation in the ultimatum minigame," Games and Economic Behavior, Elsevier, vol. 43(1), pages 86-106, April.
- Rajiv Sarin & Hyun Chang Yi, 2020. "A Model of Satisficing Behaviour," Working Papers 2020-21, Economic Research Institute, Bank of Korea.
- Huw Dixon, 2020. "Almost‐Maximization as a Behavioral Theory of the Firm: Static, Dynamic and Evolutionary Perspectives," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 237-258, March.
- Dziubiński, Marcin & Roy, Jaideep, 2012. "Popularity of reinforcement-based and belief-based learning models: An evolutionary approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 433-454.
- E. J. Anderson & T. D. H. Cau, 2009. "Modeling Implicit Collusion Using Coevolution," Operations Research, INFORMS, vol. 57(2), pages 439-455, April.
More about this item
JEL classification:
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- C0 - Mathematical and Quantitative Methods - - General
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- D5 - Microeconomics - - General Equilibrium and Disequilibrium
- D7 - Microeconomics - - Analysis of Collective Decision-Making
- M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
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