A rule-based and a probabilistic system for situation recognition in a flight simulator

title: A rule-based and a probabilistic system for situation recognition in a flight simulator
author(s): Patrick A.M. Ehlert, Quint M. Mouthaan and Leon J.M. Rothkrantz
published in: November 2003
appeared in: Mehdi, Q., Gough, N. and Natkin, S. (Eds.)
Proceedings of the 4th Int. Conf. on Intelligent Games and Simulation (GAME-ON 2003), London, Great Britain.
pages: 201-207
publisher: Eurosis
PDF (276 KB)

Abstract

In this paper we describe two situation recognition systems that have been developed for a flight simulator environment. The first system uses heuristic rules based on a state-transition diagram to determine the current stage of a flight. The second system does the same by calculating the probabilities of both the start and end of possible situations and determining the most probable situation. The idea is that the best situation recognizer system will be used as part of a more elaborate situation-aware system. This situation-aware system can be seen as a first step to an intelligent pilot bot.

 
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