Simulation and Computational Intelligence in Real-World Applications

Abstract

Many real-world applications of computational intelligence (CI) start with a good training simulator. Enhancing the simulator to use many human senses and to facilitate collection and analysis of data may produce an intelligent virtual reality (VR) system. Careful design of a VR system may encourage the use of "hooks" to allow collection of data, conversion to meaningful informatian, and incorporation of intelligence into later versions and into the final, real-world product. This paper will illustrate these concepts by discussing the challenges of autonomous flight, from simulation to implementation. Fuzzy risk analysis is suggested as a performance evaluation tool for design of CI systems, here defined as systems incorporating artificial neural networks (NN), fuzzy systems, (FZ) evolutionary systems (EC) and/or virtual reality (VR). Intelligent virtual simulation is a tool of the future which promises to move from an intriguing pastime for gamers to a rigorously applied scientific discipline offering economic advantages and service to those working in applications ranging from training simulators to accessibility aids for the handicapped. To participate in interest groups or standards activities, or to obtain additional information about simulation-oriented resources for CI development, contact [e-mail].