From Cases to Rules

• Autores: Itzhak Gilboa, Enriqueta Aragonés , Andrew Postlewaite, David Schmeidler
• Localización: Abstracts of the Fifth Spanish Meeting on Game Theory and Applications / coord. por Jesús Mario Bilbao Arrese , Francisco Ramón Fernández García , 2002, ISBN 84-472-0733-1, pág. 125
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Inductive reasoning aims at finding general rules that hold true in the database.

    Such rules may state that a certain phenomenon never happens, that certain conditions necessitate another, or that one variable is a function of others. We show that several problems associated with these processes are computational hard. In particular, in the context of linear regression, finding a small set of variables that obtain a certain value of R2 is computationally hard.

    Computational complexity may explain why a person is not always aware of rules that, if asked, she would find valid. This may explain why one can often change other people�s minds (opinions, beliefs) without providing them new information.