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). © 2013 Springer-Verlag.
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CITATION STYLE
Aranda-Corral, G. A., Borrego-Díaz, J., & Galán-Páez, J. (2013). Qualitative reasoning on complex systems from observations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8073 LNAI, pp. 202–211). https://doi.org/10.1007/978-3-642-40846-5_21
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