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Induction over Strategic Agents: a genetic algorithm solution

Author

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  • Fidan Boylu
  • Haldun Aytug
  • Gary Koehler

Abstract

We study the problem called Induction over Strategic Agents. This problem has proven hard to solve, even for small problems. We start by reducing the problem to an unconstrained search over w∈ℜ n . Once we accomplish this, we develop a Genetic Algorithm to perform this search. We compare our results to those obtained on a Mixed Integer formulation. Copyright Springer Science+Business Media, LLC 2010

Suggested Citation

  • Fidan Boylu & Haldun Aytug & Gary Koehler, 2010. "Induction over Strategic Agents: a genetic algorithm solution," Annals of Operations Research, Springer, vol. 174(1), pages 135-146, February.
    • Handle: RePEc:spr:annopr:v:174:y:2010:i:1:p:135-146:10.1007/s10479-008-0485-0
    DOI: 10.1007/s10479-008-0485-0
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    Cited by:

    1. Asunur Cezar & Srinivasan Raghunathan & Sumit Sarkar, 2020. "Adversarial Classification: Impact of Agents’ Faking Cost on Firms and Agents," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2789-2807, December.
    2. Yuanfeng Cai & Zhengrui Jiang & Vijay Mookerjee, 2017. "How to Deal with Liars? Designing Intelligent Rule-Based Expert Systems to Increase Accuracy or Reduce Cost," INFORMS Journal on Computing, INFORMS, vol. 29(2), pages 268-286, May.
    3. Vijay Mookerjee & Radha Mookerjee & Alain Bensoussan & Wei T. Yue, 2011. "When Hackers Talk: Managing Information Security Under Variable Attack Rates and Knowledge Dissemination," Information Systems Research, INFORMS, vol. 22(3), pages 606-623, September.
    4. Zhang, Juheng & Aytug, Haldun, 2016. "Comparison of imputation methods for discriminant analysis with strategically hidden data," European Journal of Operational Research, Elsevier, vol. 255(2), pages 522-530.
    5. Juheng Zhang & Haldun Aytug & Gary J. Koehler, 2014. "Research Note —Discriminant Analysis with Strategically Manipulated Data," Information Systems Research, INFORMS, vol. 25(3), pages 654-662, September.

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