Decision science is sometimes known as the branch of science that deals with the study of making decisions and analyzing the decisions made by the human mind. Thus, these studies need the intervention of neuroscience to open the doors of the human mind and to dissect the decisions and the process of decision making. The author sums up the contributions of neuroscience and imaging techniques using mathematical and computational models in the study of human decision making.

This book consists of three parts: “Subjective Utility,” “Psychological Insights,” and “Intuition and Decisions”; these parts contain seven chapters total. The first part describes the three levels of decision analysis: decision analysis and economics, psychology, and neurobiology. It further contains details about future utility and rationality. The second part explains prospect theory (cumulative), methodological issues, and two cognitive systems: intuition and logical reasoning. The third part deals with cognition modeling, the derivation of three micro mechanisms, and an economic psychological experiment in framing the neural apparatus. In this part, the author claims humans are “Homo Aequanimus.” This part further contains descriptions about neural modeling, intuition, predictability, and human decision-making abilities.

The author considers undergraduates and graduates (advanced learners in this area) and engineers, computer scientists, and software developers as the intended audience, as well as decision scientists. He expects the future of computational neuroscience to include new fields such as cognitive and in-memory computing.

The main highlight of this book is chapter 4 (in Part 2) on intuitive judgments, which deals with analytical means to manage uncertainty, explaining cognitive phenomena, and quantifying everyday intuitions. The chapters on social and neural networks and socioeconomic fractality are interesting as well.