Ponencia
Qualitative Reasoning on Complex Systems from Observations
Autor/es | Aranda Corral, Gonzalo A.
Borrego Díaz, Joaquín ![]() ![]() ![]() ![]() ![]() ![]() ![]() Galán Páez, Juan ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2013 |
Fecha de depósito | 2018-05-24 |
Publicado en |
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ISBN/ISSN | 978-3-642-40845-8 0302-9743 |
Resumen | 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 ... 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). |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | TIC-6064
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Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Qualitative Reasoning.pdf | 1.208Mb | ![]() | Ver/ | |