Quality assurance paradigms for artificial intelligence in modelling and simulation
Open Access
- 1 April 1987
- journal article
- research article
- Published by SAGE Publications in SIMULATION
- Vol. 48 (4) , 149-151
- https://doi.org/10.1177/003754978704800406
Abstract
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 sys tems) 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.Keywords
This publication has 3 references indexed in Scilit:
- Quality Assurance in Modelling and Simulation: A TaxonomyPublished by Springer Nature ,1984
- Quality Assurance of System Design and Model Management for Complex ProblemsPublished by Springer Nature ,1983
- Concepts and criteria to assess acceptability of simulation studiesCommunications of the ACM, 1981