Reconstructing True Wrong Inductions

Jean-Gabriel Ganascia 1
1 ACASA - Agents Cognitifs et Apprentissage Symbolique Automatique
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : There have been many erroneous pre-scientific and common sense inductions. We want to understand why people believe in wrong theories. Our hypothesis is that mistaken inductions are due not only to the lack of facts, but also to the poor description of existing facts and to implicit knowledge which is transmitted socially. This paper presents several experiments the aim of which is to validate this hypothesis by using machine learning and data mining techniques to simulate the way people build erroneous theories from observations.
Type de document :
Article dans une revue
AI magazine, Association for the Advancement of Artificial Intelligence, 2008, 29 (2), pp.57-65. <10.1609/aimag.v29i2.2102>
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https://hal.archives-ouvertes.fr/hal-01185605
Contributeur : Lip6 Publications <>
Soumis le : jeudi 20 août 2015 - 16:36:22
Dernière modification le : vendredi 21 août 2015 - 01:02:16

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Jean-Gabriel Ganascia. Reconstructing True Wrong Inductions. AI magazine, Association for the Advancement of Artificial Intelligence, 2008, 29 (2), pp.57-65. <10.1609/aimag.v29i2.2102>. <hal-01185605>

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