This book constitutes the refereed proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, ISMIS'97, held in Charlotte, NC, USA, in October 1997. The 57 revised full papers were selected from a total of 117 submissions. Also included are four invited papers. Among the topics covered are intelligent information systems, approximate reasoning, evolutionary computation, knowledge representation and integration, learning and knowledge discovery, AI-Logics, discovery systems, data mining, query processing, etc.

Bibliographic Information

Book Title: Foundations of Intelligent Systems
Book Subtitle: 10th International Symposium, ISMIS '97. Charlotte, North Carolina, USA, October 15-18, 1997. Proceedings
Editors: Zbigniew W. Raś, Andrzej Skowron
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-63614-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
Softcover ISBN: 978-3-540-63614-4Published: 29 September 1997
eBook ISBN: 978-3-540-69612-4Published: 14 August 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 634
Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), Multimedia Information Systems, Information Storage and Retrieval

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Foundations of Intelligent Systems

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Table of contents (60 papers)

Front Matter

Goal-oriented multimedia dialogue with variable initiative

Knowledge-based image retrieval with spatial and temporal constructs (Invited paper)

Verification and validation of AI systems that control deep-space spacecraft

Data mining and knowledge discovery: The third generation

Embedding prioritized circumscription in logic programs

Extending temporal logic for capturing evolving behaviour

A description logic model for querying knowledge bases for structured documents

Refining first order theories with neural networks

A way of increasing both autonomy and versatility of a KDD system

A comparison of atttribute selection strategies for attribute-oriented generalization

Boolean reasoning for feature extraction problems

World model construction in children during physics learning

Document explorer: Discovering knowledge in document collections

Well-behaved evaluation functions for numerical attributes

An improved inductive learning algorithm with a preanalysis of data

Efficient induction of numerical constraints

Learning English syllabification for words

Towards conceptual query answering

An implementation platform for query-answering in default logics: Theoretical underpinnings

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