It has been suggested that AI investigations of mechanical learning undermine sweeping anti-inductivist views in the theory of knowledge and the philosophy of science. Contrary to this view, we argue that no trace of epistemically jus- tified induction is to be found within a rather representative class of learning agents and we outline an alternative deductive account of these learning procedures. Finally, the opportunity of developing an induction-free logical analysis of reasoning processes involved in learning machines is emphasized by a broad reflection on some families of non-monotonic, albeit deductive, consequence relations. Keywords: Induction,machine learning, behavior-based robotics, non-monotonic consequence relations, artificial intelligence.
An inductionless and default-based analysis of machine learning procedures / E. Datteri, H. Hosni, G. Tamburrini - In: Model Based Reasoning in Science and Engineering / [a cura di] L. Magnani. - [s.l] : College Publications London, 2006. - ISBN 1904987230. - pp. 379-400 (( convegno Model-Based Reasoning in Science and Engineering: Abduction, Visualization, Simulation tenutosi a Pavia nel 2004.
|Titolo:||An inductionless and default-based analysis of machine learning procedures|
|Settore Scientifico Disciplinare:||Settore M-FIL/02 - Logica e Filosofia della Scienza|
|Data di pubblicazione:||2006|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|