dc.creator | Aranda Corral, Gonzalo A. | es |
dc.creator | Borrego Díaz, Joaquín | es |
dc.creator | Galán Páez, Juan | es |
dc.date.accessioned | 2018-05-18T10:41:04Z | |
dc.date.available | 2018-05-18T10:41:04Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2013). Complex concept lattices for simulating human prediction in sport. Journal of Systems Science and Complexity, 26 (1), 117-136. | |
dc.identifier.issn | 1009-6124 | es |
dc.identifier.uri | https://hdl.handle.net/11441/74811 | |
dc.description.abstract | In order to address the study of complex systems, the detection of patterns in their dynamics
could play a key role in understanding their evolution. In particular, global patterns are required
to detect emergent concepts and trends, some of them of a qualitative nature. Formal concept analysis
(FCA) is a theory whose goal is to discover and extract knowledge from qualitative data (organized
in concept lattices). In complex environments, such as sport competitions, the large amount of information
currently available turns concept lattices into complex networks. The authors analyze how to
apply FCA reasoning in order to increase confidence in sports predictions by means of detecting regularities
from data through the management of intuitive and natural attributes extracted from publicly
available information. The complexity of concept lattices -considered as networks with complex topological
structure- is analyzed. It is applied to building a knowledge based system for confidence-based
reasoning, which simulates how humans tend to avoid the complexity of concept networks by means of
bounded reasoning skills. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2009-09492 | es |
dc.description.sponsorship | Junta de Andalucía TIC-6064 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Journal of Systems Science and Complexity, 26 (1), 117-136. | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Bounded rationality | es |
dc.subject | Complex networks | es |
dc.subject | Formal concept analysis | es |
dc.subject | Sport forecasting | es |
dc.title | Complex concept lattices for simulating human prediction in sport | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2009-09492 | es |
dc.relation.projectID | TIC-6064 | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11424-013-2288-x | es |
dc.identifier.doi | 10.1007/s11424-013-2288-x | es |
idus.format.extent | 20 | es |
dc.journaltitle | Journal of Systems Science and Complexity | es |
dc.publication.volumen | 26 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | 117 | es |
dc.publication.endPage | 136 | es |
dc.identifier.sisius | 20604982 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |
dc.contributor.funder | Junta de Andalucía | |