NEST : A Compositional Approach to Rule-Based and Case-Based Reasoning
Author
Source
Advances in Artificial Intelligence
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
Rule-based reasoning (RBR) and case-based reasoning (CBR) are two complementary alternatives for building knowledge-based “intelligent” decision-support systems.
RBR and CBR can be combined in three main ways: RBR first, CBR first, or some interleaving of the two.
The NEST system, described in this paper, allows us to invoke both components separately and in arbitrary order.
In addition to the traditional network of propositions and compositional rules, NEST also supports binary, nominal, and numeric attributes used for derivation of proposition weights, logical (no uncertainty) and default (no antecedent) rules, context expressions, integrity constraints, and cases.
The inference mechanism allows use of both rule-based and case-based reasoning.
Uncertainty processing (based on Hájek's algebraic theory) allows interval weights to be interpreted as a union of hypothetical cases, and a novel set of combination functions inspired by neural networks has been added.
The system is implemented in two versions: stand-alone and web-based client server.
A user-friendly editor covering all mentioned features is included.
American Psychological Association (APA)
Berka, Petr. 2011. NEST : A Compositional Approach to Rule-Based and Case-Based Reasoning. Advances in Artificial Intelligence،Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-467014
Modern Language Association (MLA)
Berka, Petr. NEST : A Compositional Approach to Rule-Based and Case-Based Reasoning. Advances in Artificial Intelligence No. 2011 (2011), pp.1-15.
https://search.emarefa.net/detail/BIM-467014
American Medical Association (AMA)
Berka, Petr. NEST : A Compositional Approach to Rule-Based and Case-Based Reasoning. Advances in Artificial Intelligence. 2011. Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-467014
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467014