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Paper details
Number 4 - December 2021
Volume 31 - 2021
A hierarchy of finite state machines as a scenario player in interactive training of pilots in flight simulators
Małgorzata Bach, Aleksandra Werner, Magda Mrozik, Krzysztof A. Cyran
Abstract
The paper presents the concept of a control unit, i.e., a scenario player, for interactive training pilots in flight simulators.
This scenario player is modelled as a hierarchy of finite state machines. Such an approach makes it possible to separate the
details of an augmented reality display device which is used in training, from the core module of the system, responsible
for contextual organization of the content. Therefore, the first contribution of this paper is the mathematical model of
the scenario player as a universal formulation of the self-trained control unit for interactive learning systems, which is
applicable in a variety of situations not limited solely to flight simulator related procedures. The second contribution is
an experimental verification achieved by extensive simulations of the model, which proves that the proposed approach is
capable to properly self-organize details of the context information by tracing preferences of the end users. For that latter
purpose, the original algorithm is derived from statistical analysis, including Bayesian inference. The whole approach is
illustrated by a real application of training the preflight procedure for the captain of the Boeing 737 aircraft in a flight
simulator.
Keywords
Bayesian inference, deterministic Moore machine, flight simulator, hierarchy of finite state machines, scenario player