Abductive Reasoning and Learning

2000
ISBN: 978-0-7923-6565-5
Verlag: Springer Netherlands

Buch, Englisch, 442 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1780 g

Reihe: Handbook of Defeasible Reasoning and Uncertainty Management Systems

This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision theory, as well as logic itself.

Zielgruppe

Research

Autoren/Hrsg.

Smets, Philippe

Gabbay, Dov M.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik

Inhaltsverzeichnis

On the Relation between Abduction and Inductive Learning.- I: Logical Approaches.- AI Approaches to Abduction.- Abduction in Labelled Deductive Systems.- Logical Characterisations of Inductive Learning.- Abduction in Machine Learning.- II: Numerical Approaches.- An Overview of Ordinal and Numerical Approaches to Causal Diagnostic Problem Solving.- Abductive Inference with Probabilistic Networks.- Learning from Data: Possibilistic Graphical Models.- Independence in Uncertainty Theories and its Applications to Learning Belief Networks.