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Knowledge Acquisition, Validation, and Maintenance in a Planning System for Automated Image ProcessingA key obstacle hampering fielding of AI planning applications is the considerable expense of developing, verifying, updating, and maintainting the planning knowledge base (KB). Planning systems must be able to compare favorably in terms of software lifecycle costs to other means of automation such as scripts or rule-based expert systems. This paper describes a planning application of automated imaging processing and our overall approach to knowledge acquisition for this application.
Document ID
20060036811
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Chien, Steve A.
Date Acquired
August 23, 2013
Publication Date
November 11, 1996
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
artificial intelligence image processing knowledge acquition automation
rule-based expert systems VICAR Voyager Galileo

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