This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Perspective on Intelligent Avionics
Annotation ability available
Sector:
Language:
English
Abstract
The increasing sophistication of modern digital avionics could conceivably overload the system management capabilities of the tactical aircraft pilot. Indeed, field interviews have verified that the operational pilot's role includes significant time in managing complex electronics systems. Often the pilot must decide which systems to trust both mission success and personal survival to with only a rudimentary comprehension of the system components and their behavior. The Al field of expert systems could make a substantial contribution toward improving both aircraft mission effectiveness and the pilot's sense of situation awareness. To meet this challenge, however, the research and development community must resolve a number of signficant technical issues which could otherwise limit the capability and acceptability of expert systems for coping with mission-critical flight situations. This paper provides a perspective on a set of technical issues which, if unresolved, could limit the capability and acceptability of expert systems decisionmaking for avionics applications. Examples from on-going expert system development programs are used to illustrate likely architectures and applications of future intelligent avionic systems.
Authors
Citation
Jones, H., "Perspective on Intelligent Avionics," SAE Technical Paper 871856, 1987, https://doi.org/10.4271/871856.Also In
References
- Strategic Computing Program Plan Defense Advanced Research Projects Agency
- Glasson, D.P Pomarede, J.L. “Adaptive Tactical Navigation Phase II Concept Development,” The Analytic Sciences Corporation Technical Report AFWAL-TR-86-1066
- Glasson, D.P. Matchett, G.A. “Recommended Basic Navigation and Expert Navigator Architectures,” The Analytic Sciences Corporation Technical Information Memorandum TIM-5344-2 November 1986
- Nii, H.P. “Blackboard Systems: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures,” The AI Magazine Summer 1986 38 53
- Green, P.E. “Resource Limitation Issues in Real-Time Intelligent Systems,” 1986 SPIE Application of Artificial Intelligence Conference Orlando, FL April 1986
- Lesser, V.R. Erman, L.D. “An Experiment in Distributed Interpretation,” IEEE Trans. on Computers 29 12 1144 1163 December 1980
- Winston, P.H. Artificial Intelligence Addison-Wesley Publishing Co. Reading, MA 1984
- Wyss, S.M. “A Software Methodology for Distributed Real-Time Intelligent Systems,” Worcester Polytechnic Institute March 1986
- de Kleer, J. “An Assumption-based TMS,” Artificial Intelligence 28 1986
- Shafer, G. “A Mathematical Theory of Evidence,” Princeton University Press Princeton 1976
- Negoita, C.V. “Expert Systems and Fuzzy Systems,” Benjamin/Cummings Menlo Park, CA 1985
- Prade, H. “A Computational Approach to Approximate and Plausible Reasoning with Applications to Expert Systems,” IEEE Transactions on Pattern Analysis and Machine Intelligence 3 260 283 May 1985
- Jones, H.L. et al “An Expert Systems Approach to Adaptive Tactical Navigation,” Proceedings of the First Conference on Artificial Intelligence Applications Denver, CO December 1984