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A common framework for learning causality

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A common framework for learning causality

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Onaindia De La Rivaherrera, E.; Aineto, D.; Jiménez-Celorrio, S. (2018). A common framework for learning causality. Progress in Artificial Intelligence. 7(4):351-357. https://doi.org/10.1007/s13748-018-0151-y

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Título: A common framework for learning causality
Autor: Onaindia De La Rivaherrera, Eva Aineto, Diego Jiménez-Celorrio, Sergio
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] Causality is a fundamental part of reasoning to model the physics of an application domain, to understand the behaviour of an agent or to identify the relationship between two entities. Causality occurs when an action ...[+]
Palabras clave: Causal inference , Action models , Behaviour prediction
Derechos de uso: Reserva de todos los derechos
Fuente:
Progress in Artificial Intelligence. (issn: 2192-6352 )
DOI: 10.1007/s13748-018-0151-y
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s13748-018-0151-y
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-88476-C2-1-R/ES/RECONOCIMIENTO DE ACTIVIDADES Y PLANIFICACION AUTOMATICA PARA EL DISEÑO DE ASISTENTES INTELIGENTES/
info:eu-repo/grantAgreement/MECD//FPU16%2F03184/ES/FPU16%2F03184/
info:eu-repo/grantAgreement/MINECO//RYC-2015-18009/ES/RYC-2015-18009/
Agradecimientos:
This work is supported by the Spanish MINECO project TIN2017-88476-C2-1-R. Diego Aineto is partially supported by the FPU16/03184 and Sergio Jimenez by the RYC15/18009, both programs funded by the Spanish government.
Tipo: Artículo

References

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