Vai al contenuto principale della pagina
Titolo: | Knowledge Management and Engineering with Decisional DNA / / edited by Edward Szczerbicki, Cesar Sanin |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (262 pages) |
Disciplina: | 658.4038 |
Soggetto topico: | Computational intelligence |
Artificial intelligence | |
Computational Intelligence | |
Artificial Intelligence | |
Persona (resp. second.): | SzczerbickiEdward |
SaninCesar | |
Nota di contenuto: | Set of Experience and Decisional DNA: Experience-based Knowledge Structures -- Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence -- Smart Decisional DNA technology to enhance Industry 4.0 environment in conjunction with conventional manufacturing -- Smart Embedded Systems with Decisional DNA Knowledge Representation. |
Sommario/riassunto: | This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience. |
Titolo autorizzato: | Knowledge Management and Engineering with Decisional DNA |
ISBN: | 3-030-39601-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910483928703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |