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Results: 7
Number of items: 7
  • Open Access
    Meylahn, B. V. (2025). Multi-agent Reinforcement Learning in the All-or-Nothing Public Goods game on Networks. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 1492-1500). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.48550/arXiv.2412.20116
  • Open Access
    Meylahn, B. V., De Turck, K., & Mandjes, M. (2025). Trust in society: A stochastic compartmental model. Physica A: Statistical Mechanics and its Applications, 668, Article 130563. https://doi.org/10.1016/j.physa.2025.130563
  • Open Access
    Meylahn, B. V. (2025). Stochastic models of trust: Decentralised multi-agent learning for social dynamics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Meylahn, B. V., den Boer, A. V., & Mandjes, M. (2024). Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning. Chaos, 34(6), Article 063119. https://doi.org/10.1063/5.0205136
  • Open Access
    Meylahn, B. V., den Boer, A. V., & Mandjes, M. (2024). Trusting: Alone and together. Journal of Mathematical Sociology, 48(4), 424-478. https://doi.org/10.1080/0022250X.2024.2340135
  • Open Access
    Meylahn, B. V., & Searle, C. (2024). Opinion dynamics beyond social influence. Network Science, 12(4), 339-365. https://doi.org/10.1017/nws.2024.14
  • Open Access
    Meylahn, B. V., & Meylahn, J. M. (2024). How social reinforcement learning can lead to metastable polarisation and the voter model. PLoS ONE, 19(12), Article e0313951. https://doi.org/10.1371/journal.pone.0313951
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