Isbn: 9786630416510 - ontological engineering with a focus on mood science in mental health: second edition (5 resultados)

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  • Editorial: LAP LAMBERT Academic Publishing, 2026

    6630416511 / 9786630416510

    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    EUR 80,24

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Editorial: LAP LAMBERT Academic Publishing, 2026

    6630416511 / 9786630416510

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 76,97

    Envío por EUR 3,87 
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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

    6630416511 / 9786630416510

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 67,70

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores mental health from both qualitative and quantitative perspectives, beginning with the earliest stage of human life, the womb. The book challenges conventional assumptions about free will by examining how biological, parental and environmental factors may influence mental health before birth and throughout development.Central to the authors' approach is the World Knowledge Database (WKDB), designed with a serial rather than 'stove-pipe' architecture to integrate knowledge across domains. This framework provides a basis for examining and quantifying free will through information associated with a child's biological parents.Particular attention is given to the hormonal influences of the birth mother, presented as a rich biological environment from which information relevant to mental health and mood science may be derived. By bringing together ontological engineering, systems and control theory, biotechnology and artificial intelligence, the authors propose a distinctive knowledge-based framework for understanding and quantifying mental health.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

    6630416511 / 9786630416510

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 56,45

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Ontological Engineering with a Focus on Mood Science in Mental Health | Second Edition | Al Fermelia (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630416510 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

  • Editorial: LAP LAMBERT Academic Publishing Aug 2026, 2026

    6630416511 / 9786630416510

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 66,90

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores mental health from both qualitative and quantitative perspectives, beginning with the earliest stage of human life, the womb. The book challenges conventional assumptions about free will by examining how biological, parental and environmental factors may influence mental health before birth and throughout development.Central to the authors' approach is the World Knowledge Database (WKDB), designed with a serial rather than 'stove-pipe' architecture to integrate knowledge across domains. This framework provides a basis for examining and quantifying free will through information associated with a child's biological parents.Particular attention is given to the hormonal influences of the birth mother, presented as a rich biological environment from which information relevant to mental health and mood science may be derived. By bringing together ontological engineering, systems and control theory, biotechnology and artificial intelligence, the authors propose a distinctive knowledge-based framework for understanding and quantifying mental health. 116 pp. Englisch.…