BIBFRAME Work
Title
Decision Science: A Human-Oriented Perspective
Type
- Text
- Monograph
Contribution
Mengov, George (author)
Subject
- UYQ
- 521000
- TEC009000 (BISACSH)
- Decision making (LCSH)
- Operations research (LCSH)
- T11014
- Artificial intelligence (LCSH)
- Computational intelligence (LCSH)
- I21000
Language
Classification
- DDC: 006.3
- LCC: Q342 (Status: not used by assigner) (Status: upgraded prepub)
Content
Summary
This book offers a new perspective on human decision-making by comparing the established methods in decision science with innovative modelling at the level of neurons and neural interactions. The book presents a new generation of computer models, which can predict with astonishing accuracy individual economic choices when people make them by quick intuition rather than by effort. A vision for a new kind of social science is outlined, whereby neural models of emotion and cognition capture the dynamics of socioeconomic systems and virtual social networks. The exposition is approachable by experts as well as by advanced students. The author is an Associate Professor of Decision Science with a doctorate in Computational Neuroscience, and a former software consultant to banks in the City of London..
Table of Contents
PART I: Subjective Utility -- PART II: Psychological Insights -- PART III: Intuition and Decisions.
Authorized Access Point
Mengov, George. Decision Science: A Human-Oriented Perspective
Admin Metadata
- Date: 2026-09-11T20:21:38.111438+00:00
- Agent: cbc
- Status: c
- Derived from: 21682434
Admin Metadata
- Date: 2026-09-11
- Cataloger id: Unknown
- Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
- Description language: eng
- Description authentication: pcc
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