Quality assurance paradigms for artificial intelligence in modelling and simulation
Journal Article
·
· Simulation; (United States)
New classes of quality assurance concepts and techniques are required for the advanced knowledge-processing paradigms (such as artificial intelligence, expert systems, or knowledge-based systems) and the complex problems that only simulative systems can cope with. A systematization of quality assurance problems as well as examples are given to traditional and cognizant quality assurance techniques in traditional and cognizant modelling and simulation.
- Research Organization:
- Computer Science Dept., Univ. of Ottawa, Ottawa, Ontario K1N 9B4
- OSTI ID:
- 6078943
- Journal Information:
- Simulation; (United States), Vol. 48:4
- Country of Publication:
- United States
- Language:
- English
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