Machine Intelligence 13: Machine Intelligence and Inductive Learning

K. Furukawa, D. Michie et S. Muggleton

ISBN 10: 0198538502 / ISBN 13: 9780198538509

Edité par Clarendon Press, 1994

Ancien livre de bibliothèque. Couverture différente. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur E-553-989

Synopsis :

The founder of modern computational logic, J A Robinson, opens this volume with a chapter on the firld's great forefathers John van Neumann and Alan Turing. Stephen Muggleton follows with an analysis of Turing's legacy in logic and machine learning, conceiving these not in generality but as specific means of imparting knowledge into computers, a theme first articulated by Turing in the late 1940s.

The present volume records the Machine Intelligence Workshop of 1992, held at Strathclyde University's Ross Priory retreat on Loch Lomond, Scotland. Here the series entered not only its second quarter-century but a new phase. As can be seen in these pages, machine learning emerged to declare itself as a seed-bed of new theory, as a practical tool in engineering disciplines, and as material for new mental models in human sciences.

Présentation de l'éditeur: The founder of modern computational logic, J A Robinson, opens this volume with a chapter on the firld's great forefathers John van Neumann and Alan Turing. Stephen Muggleton follows with an analysis of Turing's legacy in logic and machine learning, conceiving these not in generality but as specific means of imparting knowledge into computers, a theme first articulated by Turing in the late 1940s. The present volume records the Machine Intelligence Workshop of 1992, held at Strathclyde University's Ross Priory retreat on Loch Lomond, Scotland. Here the series entered not only its second quarter-century but a new phase. As can be seen in these pages, machine learning emerged to declare itself as a seed-bed of new theory, as a practical tool in engineering disciplines, and as material for new mental models in human sciences.

Détails bibliographiques

Titre : Machine Intelligence 13: Machine ...
Éditeur : Clarendon Press
Date d'édition : 1994
Reliure : Hardcover
Etat : Bon