Application of the Generalized Matching Law to Chess Openings: A Gambit Analysis | Journal Club Series

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Hosted by Dr. Nicole Bank, BCBA, LBA-TX

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Earn 3 Learning CEUs

This installment in our Journal Club Series will cover the article, “Application of the generalized matching law to chess openings: A gambit analysis” authored by Cero and Falligant and published in Journal of Applied Behavior Analysis. CEUs are provided for reading the article, participating in an online discussion, and completing an article content quiz. Want to get a head start? Click here to go to a free copy of the article!

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Application of the generalized matching law to chess openings: A gambit analysis- Journal Club Series. The matching law is a mathematical model demonstrating how organisms allocate behavior across responses as a function of relative reinforcement. The generalized matching law can describe deviation from strict matching given influential outside variables. This is an investigation of the generalized matching law in the context of the opening moves of a chess game.


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Sessions are run by Dr. Nicole Bank, BCBA, LBA-TX,
creator and owner of The Partnership, LLC and its flagship product, Current Contents in ABA.

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Buy. Schedule at your convenience.
Read the article. Meet with Nicole. Earn CEUs.

What next?

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The Article

This installment in our Journal Club Series will cover the article, “Application of the generalized matching law to chess openings: A gambit analysis” authored by Cero and Falligant and published in Journal of Applied Behavior Analysis. CEUs are provided for reading the article, participating in an online discussion, and completing an article content quiz.

Want to get a head start? Click here to go to a free copy of the article!

Learning Objectives

Objectives:

  1. Define and describe the matching law
  2. Define and describe the generalized matching law
  3. Describe how The Queen’s Gambit is an appropriate context to study the generalized matching law
  4. Describe the results of this study
  5. Describe how this study extends the current understanding of the generalized matching law

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