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Title: Northeast Artificial Intelligence Consortium (NAIC). volume 18. A distributed artificial intelligence approach to information fusion and object classification. Final report, Sep 84-Dec 89

Abstract

The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communication system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge base maintenance, hardware architectures for very large systems, knowledge based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the application of distributed Artificial Intelligence tools to the data fusion and classification problem of modern C3I systems.

Authors:
;
Publication Date:
Research Org.:
Northeast Artificial Intelligence Consortium, Syracuse, NY (United States)
OSTI Identifier:
5439390
Report Number(s):
AD-A-234892/8/XAB
CNN: F30602-85-C-0008
Resource Type:
Technical Report
Resource Relation:
Other Information: See also Volume 1, AD-A234 880
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARTIFICIAL INTELLIGENCE; RESEARCH PROGRAMS; USES; CLASSIFICATION; COMMUNICATIONS; COMPUTER ARCHITECTURE; COMPUTER CODES; DATA PROCESSING; DISTRIBUTION; EXPERT SYSTEMS; INFORMATION SYSTEMS; KNOWLEDGE BASE; MAINTENANCE; MILITARY FACILITIES; SPEECH; TIME DEPENDENCE; TOOLS; PROCESSING; 990200* - Mathematics & Computers

Citation Formats

Varshney, P K, and Sikka, D I. Northeast Artificial Intelligence Consortium (NAIC). volume 18. A distributed artificial intelligence approach to information fusion and object classification. Final report, Sep 84-Dec 89. United States: N. p., 1990. Web.
Varshney, P K, & Sikka, D I. Northeast Artificial Intelligence Consortium (NAIC). volume 18. A distributed artificial intelligence approach to information fusion and object classification. Final report, Sep 84-Dec 89. United States.
Varshney, P K, and Sikka, D I. Sat . "Northeast Artificial Intelligence Consortium (NAIC). volume 18. A distributed artificial intelligence approach to information fusion and object classification. Final report, Sep 84-Dec 89". United States.
@article{osti_5439390,
title = {Northeast Artificial Intelligence Consortium (NAIC). volume 18. A distributed artificial intelligence approach to information fusion and object classification. Final report, Sep 84-Dec 89},
author = {Varshney, P K and Sikka, D I},
abstractNote = {The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communication system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge base maintenance, hardware architectures for very large systems, knowledge based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the application of distributed Artificial Intelligence tools to the data fusion and classification problem of modern C3I systems.},
doi = {},
url = {https://www.osti.gov/biblio/5439390}, journal = {},
number = ,
volume = ,
place = {United States},
year = {1990},
month = {12}
}

Technical Report:
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