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Qualitative Reasoning on Complex Systems from Observations

 

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Author: Aranda Corral, Gonzalo A.
Borrego Díaz, Joaquín
Galán Páez, Juan
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2013
Published in: HAIS 2013: 8th International Conference on Hybrid Artificial Intelligence Systems (2013), p 202-211
ISBN/ISSN: 978-3-642-40845-8
0302-9743
Document type: Presentation
Abstract: A hybrid approach to phenomenological reconstruction of Complex Systems (CS), using Formal Concept Analysis (FCA) as main tool for conceptual data mining, is proposed. To illustrate the method, a classic CS is selected (cellular automata), to show how FCA can assist to predict CS evolution under different conceptual descriptions (from different observable features of the CS).
Cite: Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2013). Qualitative Reasoning on Complex Systems from Observations. En HAIS 2013: 8th International Conference on Hybrid Artificial Intelligence Systems (202-211), Salamanca, España: Springer.
Size: 1.208Mb
Format: PDF

URI: https://hdl.handle.net/11441/75087

DOI: 10.1007/978-3-642-40846-5_21

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