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Multi-agent influence diagrams for representing and solving games

Citations

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Cited by:

  1. Michael Macgregor Perry & Hadi El-Amine, 2021. "Computational Efficiency in Multivariate Adversarial Risk Analysis Models," Papers 2110.12572, arXiv.org.
  2. W Chen & Y Chen & D Levine, 2015. "A Unifying Learning Framework for Building Artificial Game-Playing Agents," Levine's Working Paper Archive 786969000000001002, David K. Levine.
  3. David V. Pynadath & Bistra Dilkina & David C. Jeong & Richard S. John & Stacy C. Marsella & Chirag Merchant & Lynn C. Miller & Stephen J. Read, 2023. "Disaster world," Computational and Mathematical Organization Theory, Springer, vol. 29(1), pages 84-117, March.
  4. Tim Roughgarden, 2018. "Complexity Theory, Game Theory, and Economics: The Barbados Lectures," Papers 1801.00734, arXiv.org, revised Feb 2020.
  5. Abhimanyu Nag & Samrat Gupta & Sudipan Sinha & Arka Datta, 2024. "Multi Agent Influence Diagrams for DeFi Governance," Papers 2402.15037, arXiv.org, revised Oct 2024.
  6. Barry R. Cobb & Atin Basuchoudhary, 2009. "A Decision Analysis Approach to Solving the Signaling Game," Decision Analysis, INFORMS, vol. 6(4), pages 239-255, December.
  7. Manish Jain & Jason Tsai & James Pita & Christopher Kiekintveld & Shyamsunder Rathi & Milind Tambe & Fernando Ordóñez, 2010. "Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshal Service," Interfaces, INFORMS, vol. 40(4), pages 267-290, August.
  8. Grabisch, Michel & Rusinowska, Agnieszka, 2011. "Influence functions, followers and command games," Games and Economic Behavior, Elsevier, vol. 72(1), pages 123-138, May.
  9. Michael Perry & Hadi El-Amine, 2019. "Computational Efficiency in Multivariate Adversarial Risk Analysis Models," Decision Analysis, INFORMS, vol. 16(4), pages 314-332, December.
  10. Ran Spiegler, 2016. "Bayesian Networks and Boundedly Rational Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1243-1290.
  11. Bielza, Concha & Gómez, Manuel & Shenoy, Prakash P., 2011. "A review of representation issues and modeling challenges with influence diagrams," Omega, Elsevier, vol. 39(3), pages 227-241, June.
  12. Finn Jensen & Thomas Nielsen, 2013. "Probabilistic decision graphs for optimization under uncertainty," Annals of Operations Research, Springer, vol. 204(1), pages 223-248, April.
  13. Mulazzani, Luca & Manrique, Rosa & Malorgio, Giulio, 2017. "The Role of Strategic Behaviour in Ecosystem Service Modelling: Integrating Bayesian Networks With Game Theory," Ecological Economics, Elsevier, vol. 141(C), pages 234-244.
  14. Michel Grabisch & Agnieszka Rusinowska, 2010. "Different Approaches to Influence Based on Social Networks and Simple Games," Post-Print hal-00514850, HAL.
  15. Thwaites, Peter A. & Smith, Jim Q., 2018. "A graphical method for simplifying Bayesian games," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 3-11.
  16. Jiang, Albert Xin & Leyton-Brown, Kevin & Bhat, Navin A.R., 2011. "Action-Graph Games," Games and Economic Behavior, Elsevier, vol. 71(1), pages 141-173, January.
  17. White, Halbert & Xu, Haiqing & Chalak, Karim, 2014. "Causal discourse in a game of incomplete information," Journal of Econometrics, Elsevier, vol. 182(1), pages 45-58.
  18. Jesus Rios & David Rios Insua, 2009. "Supporting Negotiations over Influence Diagrams," Decision Analysis, INFORMS, vol. 6(3), pages 153-171, September.
  19. David Rios Insua & David Banks & Jesus Rios, 2016. "Modeling Opponents in Adversarial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 742-755, April.
  20. Insua, David Rios & Ruggeri, Fabrizio & Soyer, Refik & Wilson, Simon, 2020. "Advances in Bayesian decision making in reliability," European Journal of Operational Research, Elsevier, vol. 282(1), pages 1-18.
  21. Valeria Zahoransky & Julian Gutierrez & Paul Harrenstein & Michael Wooldridge, 2021. "Partial Order Games," Games, MDPI, vol. 13(1), pages 1-49, December.
  22. Craig Boutilier, 2005. "The Influence of Influence Diagrams on Artificial Intelligence," Decision Analysis, INFORMS, vol. 2(4), pages 229-231, December.
  23. Zhengqiu Zhu & Bin Chen & Sihang Qiu & Rongxiao Wang & Feiran Chen & Yiping Wang & Xiaogang Qiu, 2018. "An Extended Chemical Plant Environmental Protection Game on Addressing Uncertainties of Human Adversaries," IJERPH, MDPI, vol. 15(4), pages 1-20, March.
  24. González-Ortega, Jorge & Ríos Insua, David & Cano, Javier, 2019. "Adversarial risk analysis for bi-agent influence diagrams: An algorithmic approach," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1085-1096.
  25. Ríos Insua, David & Ruggeri, Fabrizio & Soyer, Refik & Rasines, Daniel G., 2018. "Adversarial issues in reliability," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1113-1119.
  26. Tomas Rodriguez Barraquer, 2013. "From sets of equilibria to structures of interaction underlying binary games of strategic complements," Discussion Paper Series dp655, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  27. Salo, Ahti & Andelmin, Juho & Oliveira, Fabricio, 2022. "Decision programming for mixed-integer multi-stage optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 299(2), pages 550-565.
  28. Ríos Insua, David & Cano, Javier & Pellot, Michael & Ortega, Ricardo, 2016. "Multithreat multisite protection: A security case study," European Journal of Operational Research, Elsevier, vol. 252(3), pages 888-899.
  29. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
  30. Apiruk Detwarasiti & Ross D. Shachter, 2005. "Influence Diagrams for Team Decision Analysis," Decision Analysis, INFORMS, vol. 2(4), pages 207-228, December.
  31. Javier Cano & David Ríos Insua & Alessandra Tedeschi & Ug̃ur Turhan, 2016. "Security economics: an adversarial risk analysis approach to airport protection," Annals of Operations Research, Springer, vol. 245(1), pages 359-378, October.
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