NDLI: Knowledge-based reasoning in the Paladin tactical decision generation system

Content Provider	IEEE Xplore Digital Library
Author	Chappell, A.R.
Copyright Year	1992
Description	Author affiliation: Langley Program Office, Lockheed Eng. & Sci. Co., Hampton, VA, USA (Chappell, A.R.)
Abstract	A real-time tactical decision generation system for air combat engagements, Paladin, has been developed. A pilot's job in air combat includes tasks that are largely symbolic. These symbolic tasks are generally performed through the application of experience and training (i.e., knowledge) gathered over years of flying a fighter aircraft. Two such tasks, situation assessment and throttle control, are identified and broken out in Paladin to be handled by specialized knowledge-based systems. Knowledge pertaining to these tasks is encoded into rule bases to provide the foundation for decisions. Paladin uses a customer-built inference engine and a partitioned rule-base structure to give these symbolic results in real time. An overview of knowledge-based reasoning systems as a subset of rule-based systems is provided. The knowledge used by Paladin in generating results as well as the system design for real-time execution is discussed. Paladin uses artificial intelligence techniques to address air-to-air combat and agile aircraft in a clear and concise manner. The Differential Maneuvering Simulator offers a unique opportunity to evaluate the performance of the Paladin software in a real-time tactical environment against human pilots.<>
Starting Page	155
Ending Page	160
File Size	584137
Page Count	6
File Format	PDF
ISBN	0780308204
DOI	10.1109/DASC.1992.282166
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-10-05
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Aircraft propulsion Aerospace control Object oriented modeling Aerospace electronics Control systems Real time systems Knowledge based systems Testing Humans Artificial intelligence
Content Type	Text
Resource Type	Article

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