Knowledge-driven computing : knowledge engineering and intelligent computations

Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary...

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Detalhes bibliográficos
Outros Autores: Kacprzyk, Janusz, 1947- (Directeur de la publication), Cotta, Carlos (Directeur de la publication), Ligeza, Antoni (Directeur de la publication), Reich, Simeon, 1948-...., mathématicien (Directeur de la publication), Schaefer, Robert (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:1st ed. 2008.
Colecção:Studies in Computational Intelligence 102
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Knowledge-driven computing, knowledge engineering and intelligent computations, Carlos Cotta, Simeon Reich, Robert Schaefer... [et al.], Berlin, Springer, 2008, 1 vol. (XVII-324p.), Studies in computational intelligence, 3-540-77474-2
• Knowledge-Driven Computing, Texte imprimé, 9783540870135
• Knowledge-Driven Computing, Texte imprimé, 9783642096198
• Knowledge-driven computing, knowledge engineering and intelligent computations, Carlos Cotta, Simeon Reich, Robert Schaefer... [et al.], Berlin, Springer, 2008, 1 vol. (XVII-324p.), Studies in computational intelligence, 3-540-77474-2
Descrição
Resumo:Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, rule-based systems, fuzzy sets and many others. The use of various knowledge representation formalisms and knowledge processing and computing paradigms is oriented towards the efficient resolution of computationally complex and difficult problems. The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions, and dealing with topics of interest for a wide audience, and/or cross-disciplinary research were preferred
Descrição do item:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540774754
ISSN:1860-9503
Acesso:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017