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Citations

2024

  • Macmillan-Scott, Olivia, Akin Ünver, and Mirco Musolesi. "Game-theoretic agent-based modelling of micro-level conflict: Evidence from the ISIS-Kurdish war." Plos one 19.6 (2024): e0297483.
  • Diaz, Manfred, Liam Paull, and Andrea Tacchetti. "Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience." arXiv:2404.03084 (2024).

2023

  • Hutter, Adrian. "Balancing Cooperativeness and Adaptiveness in the (Noisy) Iterated Prisoner's Dilemma." arXiv:2303.03519.
  • Domingos, Elias Fernández, Francisco C. Santos, and Tom Lenaerts. "EGTtools: Evolutionary game dynamics in Python". Iscience 26.4 . (2023).
  • Márquez, Fausto Pedro García, et al., eds. IoT and Data Science in Engineering Management: Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización. Vol. 160. Springer Nature, 2023.

2022

  • Knight, Vincent, and Geraint Palmer. Applied Mathematics with Open-source Software: Operational Research Problems with Python and R. CRC Press, 2022.

2021

  • Glynatsi, Nikoleta E., and Vincent A. Knight. "A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner’s dilemma." Humanities and Social Sciences Communications 8.1 (2021): 1-12. Nature.com ArXiv
  • Glynatsi, Nikoleta E., and Vincent A. Knight. "Game Theory and Python: An educational tutorial to game theory and repeated games using Python." Journal of Open Source Education, 4(39), 78. jose.theoj.org
  • Vincent, Frederick M., and Dashiell EA Fryer. "Top Score in Axelrod Tournament." arXiv:2104.03347 (2021).

2020

  • Kies, Martin. "Finding Best Answers for the Iterated Prisoner’s Dilemma Using Improved Q-Learning." Available at SSRN 3556714 (2020).
  • Krapohl, Sebastian, Václav Ocelík, and Dawid M. Walentek. "The instability of globalization: applying evolutionary game theory to global trade cooperation." Public Choice (2020): 1-21.
  • Glynatsi, Nikoleta E., and Vincent A. Knight. "A meta analysis of tournaments and an evaluation of performance in the Iterated Prisoner's Dilemma" arXiv preprint arXiv:2001.05911 (2019). ArXiv
  • Wang, Shiheng, and Fangzhen Lin. "Nice Invincible Strategy for the Average-Payoff IPD." Proceedings of the AAAI Conference on Artificial Intelligence
  • Glynatsi, Nikoleta E., and Vincent A. Knight. "Using a theory of mind to find best responses to memory-one strategies." Sci Rep 10, 17287 (2020). Scientific Reports

2019

  • Thomas, Robert W., and José M. Vidal. "Ad Hoc Vehicle Platoon Formation." [2019 SoutheastCon. IEEE](Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines) (2019)
  • T.J. Gaffney, Marc Harper, Vincent A. Knight. "Memory depth of finite state machine strategies for the iterated prisoner's dilemma" arXiv preprint arxiv:1912.04493 (2019). ArXiv
  • O'Neil, Daniel A., and Mikel D. Petty. "Synthesizing Social Networks with Iterated Prisoners' Dilemma." Proceedings of the International Conference on Modeling, Simulation and Visualization Methods (MSV). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2019.
  • Collins, David. "A Genetic Algorithm Approach to the Iterated Prisoner’s Dilemma." Undergraduate Research in Natural and Clinical Science and Technology Journal (2019): 1-9.
  • Wang, Shiheng, and Fangzhen Lin. "Invincible Strategies of Iterated Prisoner's Dilemma." Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2019. ArXiv
  • Knight, Vincent A., et al. "Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma." arXiv preprint arXiv:1904.00973 (2019). ArXiv

2018

  • Garcia, Julian, and Matthijs van Veelen. "No strategy can win in the repeated prisoner’s dilemma: Linking game theory and computer simulations." Frontiers in Robotics and AI 5.102 (2018) pdf
  • Goodman, Aaron. "Learning multiagent coordination in the absence of communication channels." arXiv:1802.06036 (2018). ArXiv
  • Knight, Vincent, et al. "Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma." PLoS ONE 13(10) (2018): e0204981. PLOS
  • Latorre, Julian F. and Ospina, Juan Pablo and Ortiz, Jorge E. "A Coalitional Game for Achieving Emergent Cooperation in Ad Hoc Networks Through Sympathy and Commitment." Springer (2018). Springer
  • Moura, Jose, and David Hutchison. "Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends." IEEE Communications Surveys & Tutorials (2018). IEEE CS&T ArXiv
  • Neumann, Shai and Sood, Suraj and Hollander, Markus et al. "Using Bots in Strategizing Group Compositions to Improve Decision--Making Processes" Springer (2018). Springer
  • Nicolas, Anastassacos and Mirco, Musolesi. "Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas." arXiv preprint arXiv:1809.10007 (2018). ArXiv
  • Skiba, Grażyna, et al. "Flexible asynchronous simulation of iterated prisoner’s dilemma based on actor model." Simulation Modelling Practice and Theory 83 (2018): 75-92.

2017

  • Harper, Marc, et al. "Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma." PloS one 12.12 (2017): e0188046. PLOS

2016

  • Knight, Vincent Anthony, et al. "An open framework for the reproducible study of the iterated prisoner's dilemma." Journal of Open Research Software 4.1 (2016). JORS ArXiv

2015

Dissertations

  • Wang, Shiheng. Strategies and Best Responses in The Iterated Prisoner’s Dilemma. Hong Kong University of Science and Technology (Hong Kong), 2021.
  • Dollbo, Anna. MIXED MEMORY Q-LEARNER: An adaptive reinforcement learning algorithm for the Iterated Prisoner’s Dilemma. BS thesis. 2021.
  • Kies, Martin. Machine learning in economics. Diss. Universität Ulm, 2020.
  • Glynatsi, Nikoleta. "Understanding responses to environments for the Prisoner's Dilemma: A meta analysis, multidimensional optimisation and machine learning approach". PhD Thesis, Cardiff University. (2020) Available Online.
  • Santana, Jonas Cardoso Carvalho. "Aprendizado de máquina e o dilema dos prisioneiros". (2020)
  • Black, Ben. "An Empirical Evaluation of the Ohtsuki-Nowak Approximation." Master's Thesis. (2018).
  • Hayes, Victoria. The Evolution of Cooperation: A Recreation of Axelrod's Computer Tournament. The University of North Carolina at Greensboro, (2017). PDF
  • Latorre Ochoa, Julian Felipe. "Compromiso y simpatía: emotividad en la toma de decisiones cooperativas en redes estocásticas de siguiente generación". Available online (2017)