Publications

Presents criteria for defining sequences, hierarchies, and networks (SHN) for organizing thoughts. [A.Kulikauskas and S.Maskeliunas, 1999]

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paper is based on data gathered by the Organizing Thoughts into Sequences, Hierarchies, and Networks Grudu 6, 2020 Vilnius, Lithuania Institute of Mathematics and Informatics Akademijos 4, 2600 Vilnius, Lithuania Encapsulation allows one to distinguish external relations defined in terms of
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2. What is a Knowledge Representation?

An introductory critical paper by R. Davis, H. Shrobe, and P. Szolovits in AI Magazine - 1993

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What is a Knowledge Representation? MIT AI Lab and Symbolics, Inc. MIT Lab for Computer Science This paper appeared as R. Davis, H. Shrobe, and P. Szolovits. What is a Knowledge Representation? AI Magazine , 14(1):17-33, 1993. A better formatted version is available in Although knowledge
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3. Enabling Technology For Knowledge Sharing

An article published in AI Magazine in 1991, describing ontology-driven knowledge base architectures.

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Enabling Technology For Knowledge Sharing Robert Neches, Richard Fikes, Tim Finin, Thomas Gruber, Ramesh Patil, Ted Senator, and William R. Swartout AI Magazine, Volume 12, No. 3, Fall 1991 Ever since the mid-seventies, researchers have recognized that capturing knowledge is the key to building
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4. Knowledge Engineering Part A

Lecture notes on knowledge representation, featuring philosophical and psychological basis, conceptual graphs, reasoning and computation. Dickson Lukose, The University of New England, July 1996.

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Department of Mathematics, Statistics and Computer Science The University of New England Printed at The University of New England - July 1996 Knowledge Engineering is the technique applied by knowledge engineers to build intelligent systems: Expert Systems, Knowledge Based Systems, Knowledge
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5. Common Sense Problem Page

Corpus of challenging problems for the representation of commonsense knowledge.

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Common Sense Problem Page Commonsense reasoning is a central part of intelligent behavior. In contrast to expert knowledge, which is usually explicit, most commonsense knowledge is implicit. One of the prerequisites to developing commonsense systems is making this knowledge explicit. The goal of
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6. Knowledge Representation

Detailed online summary of 1999 book by Harvard mathematician John W. Sowa, including sections on logic and ontology.

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