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Simulating Language Dynamics by Means of Concept Reasoning

 

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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: 2012
Published in: BIONETICS 2012: 7th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (2012), p 296-311
ISBN/ISSN: 978-3-319-06943-2
1867-8211
Document type: Presentation
Abstract: A problem in the phenomenological reconstruction of Complex Systems (CS) is the extraction of the knowledge that elements playing in CS use during its evolution. This problem is important because such a knowledge would allow the researcher to understand the global behavior of the system [1,2]. In this paper an approach to partially solve this problem by means of Formal Concept Analysis (FCA) is described in a particular case, namely Language Dynamics. The main idea lies in the fact that global knowledge in CS is naturally built by local interactions among agents, and FCA could be useful to represent their own knowledge. In this way it is possible to represent the effect of interactions on individual knowledge as well as the dynamics of global knowledge. Experiments in order to show this approach are given using WordNet.
Cite: Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2012). Simulating Language Dynamics by Means of Concept Reasoning. En BIONETICS 2012: 7th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (296-311), Lugano, Switzerland: Springer.
Size: 2.941Mb
Format: PDF

URI: https://hdl.handle.net/11441/75154

DOI: 10.1007/978-3-319-06944-9_21

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