Atjaunināt sīkdatņu piekrišanu

Emotion and Information Processing: A Practical approach 2020 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 221 pages, height x width: 235x155 mm, weight: 373 g, 47 Illustrations, color; 10 Illustrations, black and white; XVI, 221 p. 57 illus., 47 illus. in color., 1 Paperback / softback
  • Izdošanas datums: 24-Oct-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030488519
  • ISBN-13: 9783030488512
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 46,91 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 55,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 221 pages, height x width: 235x155 mm, weight: 373 g, 47 Illustrations, color; 10 Illustrations, black and white; XVI, 221 p. 57 illus., 47 illus. in color., 1 Paperback / softback
  • Izdošanas datums: 24-Oct-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030488519
  • ISBN-13: 9783030488512
Citas grāmatas par šo tēmu:
This book consists of thirteen chapters covering many facts like psycho-social intervention on emotional disorders in individuals, impact of emotion and cognition on blended theory, theory and implication of information processing, effects of emotional self esteem in women, emotional dimension of women in workplace, effects of  mental thinking in different age groups irrespective of the gender, negative emotions and its effect on information processing, role of emotions in education and lastly emotional analysis in  multi perspective domain adopting machine learning approach. Most of the chapters having experimental studies, with each experiment having different constructs as well as different samples for each data collection. Most of the studies measure information processing within altered mood states, such as depression, anxiety, or positive emotional states, with mental ability tasks being conducted in addition to the experiments of quasi-experimental design. 
Chapter 1.- Prologue; Chapter 2.- Decision-making in positive and
negative prospects influence of certainty and affectivity;
Chapter 3.-
Decision-making under uncertainty and information processing in positive and
negative mood states;
Chapter 4.- Influence of Mood states on Information
Processing During Decision Making Using Fuzzy Reasoning Tool and Neuro- Fuzzy
System Based on Mamdani Approach;
Chapter 5.- Influence of Mood States, Group
Discussion, and Interpersonal Comparison on Change in Decision-Making and
Information processing;
Chapter 6.- Conclusions; Epilogue.
Dr. Sachi Nandan Mohanty obtained his Ph.D from the Indian Institute of Technology Kharagpur, West Bengal, India, 2015. He is presently working as an Associate Professor for ICFAI Tech in Hyperbad, India, where he focuses on cognitive science, fuzzy logic decision-making, and machine learning. He is the recipient of several awards, including Outstanding Faculty Member, and has published numerous articles in acclaimed journals, available in multiple indeces.