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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.
List of contents
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.
About the author
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.
