Ontological Engineering with a Focus on Mood Science in Mental Health

Al Fermelia

ISBN 10: 6630416511 / ISBN 13: 9786630416510

Published by LAP LAMBERT Academic Publishing Aug 2026, 2026

About this Item

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.

Seller Inventory # 9786630416510

Bibliographic Details

• Title: Ontological Engineering with a Focus on Mood Science in Mental Health
• Publisher: LAP LAMBERT Academic Publishing Aug 2026
• Publication Date: 2026
• ISBN 10: 6630416511
• ISBN 13: 9786630416510
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 191 grams

About this title

Synopsis

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.