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Systems for Strategic Learning

In: Handbook on Decision Support Systems 2

Author

Listed:
  • Fidan Boylu

    (University of Connecticut)

  • Haldun Aytug

    (University of Florida)

  • Gary J. Koehler

    (University of Florida)

Abstract

An important decision support system component is machine learning/data mining. Classical machine learning methods implicitly assume that attributes of instances under classification do not change to acquire a positive classification. However, in many situations these instances represent people or organizations that can proactively seek to alter their characteristics to gain a positive classification. We argue that the learning mechanism should take this possible strategic learning into consideration during the induction process. We call this strategic learning. In this chapter we define this concept, summarize related research, and present a number of future research areas.

Suggested Citation

  • Fidan Boylu & Haldun Aytug & Gary J. Koehler, 2008. "Systems for Strategic Learning," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 71, pages 759-776, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48716-6_35
    DOI: 10.1007/978-3-540-48716-6_35
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    Cited by:

    1. 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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