Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01185605
Contributor : Lip6 Publications <>
Submitted on : Thursday, August 20, 2015 - 4:36:22 PM
Last modification on : Friday, December 13, 2019 - 11:44:05 AM

Identifiers

Citation

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⟩

Share

Metrics

Record views

128