Fuzzy Logic in Artificial Intelligence

IJCAI '93 Workshop, Chamberry, France, August 28, 1993. Proceedings
1994
ISBN: 978-3-540-58409-4
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 847, 136 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 230 g

Reihe: Lecture Notes in Computer Science

This volume constitutes the proceedings of the Second Fuzzy Logic in AI Workshop, held in conjunction with IJCAI '93 in Chambéry, France in August 1993.
The book contains full revised versions of the papers presented at the workshop and covers several aspects of fuzzy logic in contributions from renowned researchers. This volume reflects the aim of the workshop, namely to serve as a platform for fruitful contacts between fuzzy engineering researchers interested in AI and AI researchers interested in fuzzy logic applications in engineering: when it comes to designing intelligent systems they are confronted with the same problems and questions and hope for the same successful results.

Zielgruppe

Research

Autoren/Hrsg.

Ralescu, Anca

Fachgebiete

• Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Geisteswissenschaften Design Produktdesign, Industriedesign
• Mathematik | Informatik EDV | Informatik Technische Informatik Hardware: Grundlagen und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)

Inhaltsverzeichnis

Fuzzy reinforcement Learning and dynamic programming.- Fuzzy sets, fuzzy clustering and fuzzy rules in AI.- Robust execution of robot plans using fuzzy logic.- Fuzzy logic, inductive and analogical reasoning.- Possibility theory, belief revision and nonmonotonic logic.- Querying a database with fuzzy attribute values by iterative updating of the selection criteria.- Learning fuzzy membership functions in a function-based object recognition system.- A factor space approach to concept representation.- Connectionist fuzzy production systems.