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Behavioral Interpretation According to Multimodeling Representation

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Abstract

This paper deals with a behavioral interpretation of physical systems. It describes how we can interpret the systems current state using a multimodeling principle. The purpose of this interpretation task is to explain what is happening in the system from a small set of observations in terms of functional states of the system processes. The model types considered are functional and qualitative models generated according to a bond graph description. The functional model (process model) is contructed taking into account the causality and the orientation of the energy flow considered in the bond graph. We cooperate this model with a qualitative causal graph in order to identify the system process functional states.

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Zouaoui, F., Thétiot, R. & Dumas, M. Behavioral Interpretation According to Multimodeling Representation. Applied Intelligence 10, 211–224 (1999). https://doi.org/10.1023/A:1008379904214

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  • DOI: https://doi.org/10.1023/A:1008379904214