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What is Intuitive Reasoning

Handbook of Research on Decision Sciences and Applications in the Transportation Sector
One of the crucial problems of certification lies in the simulation of intuitive reasoning derived from the common sense of certification experts when imagining new accident scenarios. This intuitive reasoning which, the result of accumulated experience, is difficult to justify. Indeed, the expert may have the feeling that a breakdown or failure risks jeopardizing the safety of the system or of passengers, without being able to justify his reasoning and clearly describe the course of the events leading to the state of insecurity.
Published in Chapter:
Decision Support Approach for Assessing of Rail Transport: Methods Based on AI and Machine Learning
Habib Hadj-Mabrouk (University Gustave Eiffel, France)
DOI: 10.4018/978-1-7998-8040-0.ch005
As part of the certification process for a new rail transport system, one of the essential steps is to examine, from a safety point of view, that the system (and its technical and human environment) satisfies the regulatory requirements of safety and in particular that it can in no case be a source of risk for travelers. This intellectual process by which a certification expert assesses a situation, predicts an event, or makes a decision is often difficult to model in the form of reliable and definitive algorithms. This difficulty can be partially overcome by using artificial intelligence (AI) techniques. In order to improve the usual approaches to analysis and evaluation of safety studies used in the context of certification, this chapter presents several methods and tools based on AI techniques and in particular on knowledge acquisition methods, supervised machine learning (SML), case-based reasoning (CBR), and knowledge-based systems (KBS).
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