Advanced Topics in Artificial Intelligence
International Summer School, Prague, Czechoslovakia, July 6-17, 1992. Proceedings
Published on 24. June 1992
Book
Paperback/Softback
XII, 488 pages
978-3-540-55681-7 (ISBN)
Description
This volume contains the texts of 26 lectures and
contributions to the program of the International Summer
School on Advanced Topics in Artificial Intelligence held in
Prague, Czechoslovakia, July 6-17, 1992.
The summerschool was intended for (postgraduate) students,
researchers and all those who want to learn about recent
progress in both theoretical and applied AI.
The papers in the volume are organized into nine parts:
- Introduction
- Logic and logic programming
- Machine learning
- Planning and scheduling
- Uncertainty
- Second generation expert systemsand knowledge engineering
- Qualitative reasoning
- Neurocomputing
-Natural language and interfaces
More details
Series
Edition
1992 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XII, 488 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 27 mm
Weight
750 gr
ISBN-13
978-3-540-55681-7 (9783540556817)
DOI
10.1007/3-540-55681-8
Schweitzer Classification
Content
AI: Introduction, paradigms, applications (including CBR), impacts, visions.- Artificial intelligence and connectionism: Some philosophical implications.- Logic for representing and implementing knowledge about system behaviour.- Prolog: A step towards the future of programming.- An introduction to constraint logic programming.- Logic and databases.- to machine learning.- Approaches to inductive logic programming.- Advanced machine learning techniques for computer vision.- Notes on current trends in AI planning.- The application of reason maintenance systems in planning and scheduling.- Practical applications of planning tasks.- The role of uncertainty measures and principles in AI.- to probabilistic methods of knowledge representation and processing.- On belief functions.- Data analysis and uncertainty processing.- Some aspects of knowledge engineering.- An automatic knowledge acquisition tool.- Distributed AI and its applications.- Architectures for second generation knowledge based systems.- An introduction to qualitative reasoning.- Model-based diagnosis: An overview.- Dynamic system simulation with qualitative differential equations.- An introduction to neurocomputing and its possible role in AI.- Intelligent presentation and dialogue management.- Linguistic aspects of natural language processing.