Wael Hafez
ABSTRACT
Intelligent systems performance is a result of the interaction and cooperation of the system's components with one another and with their environment. In general, those components and subsystems can be fundamentally different in nature, structure and the role each plays in the system's overall activity. It might be possible to measure the performance of each subsystem in its own terms. However, such measures will apply only to the subsystems of the same type. Taking intelligent systems heterogeneity into consideration, the paper argues that to understand and analyze the performance of intelligent systems, it is necessary to develop measures that apply to their different components regardless of their nature. The paper applies communication theory to develop such measures. Accordingly, the activities of an intelligent system and its subsystems are considered to be communication activities. The characteristics of this communication determine the system technical performance. Communication measures are used to define a system's communication state, which reflects the system technical performance regardless of its nature.
- Bogdan, P. 2011. Towards a science of cyber physical systems design. In Proceedings of the IEEE/ACM Second International conference on Cyber Physical Systems (Chicago, IL, USA, April 11--14, 2011) IEEE/ACM, 99--108. DOI= http://ieeexplore.ieee.org/10.1109/ICCPS.2011.14 Google Scholar
Digital Library
- Gunderson, L. H., and Holling, C. S. (Eds.) 2002. Panarchy, Understanding Transformation in Human and Natural Systems. Island Press, Washington.Google Scholar
- Hafez, W., 2010. Intelligent System-Environment Interaction as a Process of Communication. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, (Istanbul, Turkey, October 10--13, 2010) IEEE, 3393--3396. DOI=http://ieeexplore.ieee.org/10.1109/ICSMC.2010.56423 35Google ScholarCross Ref
- Lee, E. 2008. Cyber Physical Systems: Design Challenges. In Proceedings of the 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC) (Orlando, Florida, USA, May 05--07, 2008) IEEE, 363--369. DOI=http://10.1109/ISORC.2008.25 Google ScholarDigital Library
- Lee, E. 2010. CPS Foundations. In Proceedings of the 47th IEEE/ACM Design Automation Conference (Anaheim, CA, USA, June 13--18, 2010) IEEE/ACM, 737--742. Google ScholarDigital Library
- Shannon, C. E., Weaver, W. 1949. The Mathematical Theory of Communication. Univ. of Illinois Press, Illinois.Google Scholar
Index Terms
- Approach for defining intelligent systems technical performance metrics
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