Muutke küpsiste eelistusi

Interplay of Emotion Regulation and Mental Health: An Adaptive Dynamical Systems Analysis Approach [Kõva köide]

Edited by , Edited by
  • Formaat: Hardback, 515 pages, kõrgus x laius: 235x155 mm, 165 Illustrations, color; 11 Illustrations, black and white
  • Sari: Studies in Systems, Decision and Control
  • Ilmumisaeg: 26-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032165431
  • ISBN-13: 9783032165435
Teised raamatud teemal:
  • Kõva köide
  • Hind: 206,37 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 242,79 €
  • Säästad 15%
  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 3-4 nädalat peale raamatu väljaandmist.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 515 pages, kõrgus x laius: 235x155 mm, 165 Illustrations, color; 11 Illustrations, black and white
  • Sari: Studies in Systems, Decision and Control
  • Ilmumisaeg: 26-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032165431
  • ISBN-13: 9783032165435
Teised raamatud teemal:
For many disorders, proper emotion regulation is a crucial protective factor. Therefore, this volume provides an in-depth exploration of emotion regulation through the lens of computational modeling and analysis. Emotion regulation is a critical psychological process that enables individuals to manage their emotional responses in diverse situations. This book examines how flexibility in emotion regulation strategies such as suppression, cognitive reappraisal, and attention modulation supports mental well-being by allowing individuals to adapt their emotional responses according to context. Drawing from recent advances in psychology and neurobiology, the book presents a series of models that highlight the role of contextual sensitivity and the influence of factors such as age, gender, and personality traits on regulatory preferences. One of the themes of this book is the contextual nature of emotion regulation, where flexibility enables instant contextual shifts between different strategies based on situational demands. Several models simulate scenarios in which specific emotions, such as anger or anxiety, are context-sensitive according to the individuals goals and context. Simulation results reveal how certain emotions may strongly depend on achieving personal or external goals, underscoring the dynamic nature of emotion regulation. In addition, another important theme is adaptivity of emotion regulation. This does not concern instant contextual changes but longer-term changes in response to experiences over time. Learning processes to strengthen emotion regulation over time may be very important to reduce negative health effects induced by reduced emotion capabilities. These forms of adaptivity are also extensively addressed in this book. In addition to general mechanisms of emotion regulation, this book also addresses specialized applications for various psychological and behavioral conditions. These include computational models for conditions like anxiety, autism spectrum disorders, social media addiction, burnout, and eating disorders. 
1.An Adaptive Dynamical Systems Analysis Approach to the Dynamics of
Emotion and its Regulation to Support Mental Health.- 2.Flexibility in
Emotion Regulation Strategies.- 3.Decision-Making in Choosing Regulation
Strategies while Downregulating Negative Emotions.- 4.Goal Driven Choices of
Emotion Regulation Strategies.- 5.Age and Gender Differences in Choice of
Emotion Regulation Strategies.- 6.Simultaneous Employment of Multiple Emotion
Regulation Strategies.- 7.Computational Analysis of the Interplay between
Food Desires and Negative Emotions.- 8.An Adaptive Agent Based Model for
Learning Regulation of a Highly Sensitive Person's Response.- 9.A
Neurologically Inspired Computational Model for Autism Spectrum Disorders.-
10.Genito-Pelvic Pain/Penetration Disorder: An Adaptive Computational
Fear-Avoidance Model.- 11.Internal Processes of a Person with a borderline
personality disorder: A Computational Analysis.- 12.Modelling Desensitization
Due to Overstimulation through Second-Order Network Adaptation.- 13.An
Adaptive Cognitive Agent Model for Desire Regulation Under Stress.- 14.Causal
Relationships between Cannabis, Anxiety and Sleep: Computational Analysis of
the Adaptivity.- 15.Towards an Integrated Model of Caffeine-Induced Stress
Dynamics.- 16.Second-Order Adaptation in Emotion Regulation and Social Media
Use.- 17.Adaptive Dynamics of Emotion Regulation: Modeling Age and Gender
Dependent Variability Over Time.- 18.Reward-Driven Emotion Regulation Across
the Lifespan: Insights from a Fourth-Order Adaptive Network Model.- 19.From
Stress to Burnout: A Multi-Order Adaptive Simulation of Psychological
Decline.- 20.A Temporal-Causal Model of Burnout Dynamics and the Regulatory
Role of Physical Exercise.- 21.An Adaptive Network Model for Burnout and the
Regulatory Role of Dreaming.- 22.Dynamic Modeling of Burnout and Sleep
Interaction through a Temporal-Causal Approach.- 23.An Adaptive Network Model
of Employee Burnout and Personality: The role of the Big Five Traits.- 24.A
Multilevel Network Model of Emotion Regulation Strategy Dynamics via
Metaplasticity.- 25.A Cognitive Model of Mindfulness-Based Stress Reduction:
The Role of Yoga Practice.- 26.Modeling Probiotic Influences on ASD Symptoms
Through a Second-Order Adaptive Network Model.- 27.Modeling Therapeutic
Interventions for Cognitive Control Using Adaptive Causal Networks.-
28.Modeling Stress Coping Through Mutual Support Networks.- 29.An Adaptive
Network Model of Therapy Effects in Anorexia Nervosa.- 30.Future Prospects
for Healthier Emotion Regulation: Computational Analysis from an Adaptive
Dynamical System Perspective Modelled by Multi-Adaptive Networks.-
31.Discussion.