Emotional Cognition

Emotional Cognition : From brain to behaviour

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Emotional Cognition gives the reader an up to date overview of the current state of emotion and cognition research that is striving for computationally explicit accounts of the relationship between these two domains. Many different areas are covered by some of the leading theorists and researchers in this area and the book crosses a range of domains, from the neurosciences through cognition and formal models to philosophy. Specific chapters consider, amongst other things, the role of emotion in decision-making, the representation and evaluation of emotive events, the relationship of affect on working memory and goal regulation. The emergence of such an integrative, computational, approach in emotion and cognition research is a unique and exciting development, one that will be of interest to established scholars as much as graduate students feeling their way in this area, and applicable to research in applied as well as purely theoretical domains. (Series B)
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Product details

  • Hardback | 350 pages
  • 154.94 x 226.06 x 25.4mm | 680.39g
  • John Benjamins Publishing Co
  • Amsterdam, Netherlands
  • English
  • 1588112446
  • 9781588112446

Table of contents

1. 1. Emotional Cognition: An introduction (by Moore, Simon C.); 2. 2. The role of the human amygdala in emotional modulation of long-term declarative memory (by Buchanan, Tony W.); 3. 3. Associative representations of emotionally significant outcomes (by Killcross, Simon); 4. 4. Neurons with attitude: A connectionist account of human evaluative learning (by Fulcher, Eamon P.); 5. 5. Affect and processing dynamics: Perceptual fluency enhances evaluations (by Winkielman, Piotr); 6. 6. Consciousness, computation, and emotion (by Prinz, Jesse J.); 7. 7. Emotion and reasoning to consistency: The case of abductive inference (by Oatley, Keith); 8. 8. Expected feelings about risky options (by Schwartz, Alan); 9. 9. Motivational underpinnings of utility in decision making: Decision field theory analysis of deprivation and satiation (by Busemeyer, Jerome R.); 10. 10. An informational value for mood: Negative mood biases attention to global information in a probabilistic classification task (by Moore, Simon C.); 11. 11. The effects of positive affect and arousal on working memory and executive attention: Neurobiology and computational models (by Ashby, F. Gregory); 12. 12. Integration of emotion and cognitive control: A neurocomputational hypothesis of dynamic goal regulation (by Gray, Jeremy R.); 13. Name index; 14. Subject index
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