Authors:
I. Fakhfakh
1
;
M. Le Goc
2
;
L. Torres
2
and
C. Curt
1
Affiliations:
1
IRSTEA, France
;
2
Aix-Marseille Univ and LSIS, France
Keyword(s):
Multi Modeling, Model Based-reasoning, Dynamic System, Process Algebras, Timed Observation Theory.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Guidelines, Principles, Patterns and Standards
;
Human-Computer Interaction
;
Industrial Applications of Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Performance Evaluation and Benchmarking
;
Problem Solving
;
Symbolic Systems
;
User Profiling and Recommender Systems
Abstract:
Researchers have long been seeking the most suitable formalism and method to build models of dynamic systems for diagnostic tasks. In this paper, we claim that the main difficulty stems from the lack of global formalism capable of taking into account structural, functional and behavioral knowledge. To illustrate this point, we propose a comparison between two modeling approaches.