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Causal Reasoning in Complex Systems

Dissertation of Philippe Büttner

This project deals with a model-based analysis of human information processing. A complex system must be processed by humans at a certain level of abstraction in order for it to be represented in a cognitive way. The central topics of this project are, which information of a complex system at a particular time are available in working memory and at what point support through technical assistance systems are useful. A cognitive model will be developed with the cognitive Architecture ACT-R (Adaptive-Control of Thought Rational) [1] which simulates an operator. This cognitive model will be responsible for performing an error-check on CAMS (Cabin Air Management Systems) [2]. The knowledge of the processes of selection, analysis and interpretation of information gained through the cognitive model will be of paramount importance in the field of human-machine systems and could provide support in the early-development stages of technical systems.

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