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E-grāmata: Foundations of Neuroeconomic Analysis

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(Professor of Neural Science, Economics, and Psychology, Glimcher LabCenter for Neural Science, New York University)
  • Formāts: PDF+DRM
  • Izdošanas datums: 24-Nov-2010
  • Izdevniecība: Oxford University Press Inc
  • Valoda: eng
  • ISBN-13: 9780199780631
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  • Formāts: PDF+DRM
  • Izdošanas datums: 24-Nov-2010
  • Izdevniecība: Oxford University Press Inc
  • Valoda: eng
  • ISBN-13: 9780199780631
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A new academic field, neuroeconomics, has emerged at the border of the social and natural sciences. In Foundations of Neuroeconomic Analysis, Paul Glimcher argues that a meaningful interdisciplinary synthesis of the study of human and animal choice is not only desirable, but also well underway, and so it is time to formally develop a foundational approach for the field. He does so by laying the philosophical and empirical groundwork and integrating the theory of choice and valuation with the relevant physical constraints and mechanisms. While there has been an intense debate about the value and prospects of neuroeconomics, Glimcher argues that existing data from neuroeconomics' three parent fields, neuroscience, psychology and economics, already specify the basic features of the primate choice mechanism at all three levels of analysis. His central argument is that combining these three disciplines gives us enough insight to define many of the fundamental features of decision making that have previously eluded scholars working within each individual field. With this in mind, Glimcher provides a comprehensive overview of the neuroscience, psychology, and economics of choice behavior, which will help readers from many disciplines to grasp the rich interconnections between these fields and see how their data and theory can interact to produce new insights, constraints, and questions. The book is divided into four main sections that address key barriers to interdisciplinary cohesion. The first section defines the central philosophical issues that neuroeconomics must engage. The theory of knowledge already tells us much about how different disciplines interact, and in this section, Glimcher reviews those constraints and lays a philosophical foundation for future neuroeconomic discourse. This section concludes with both a defense of neoclassical economics and a spirited attack on Milton Friedman's insistence that economics must not be constrained by the study of mechanism. Glimcher argues instead for the development of "hard-economic theories", which postulate that choosers behave the way they do because of the underlying representations that occur in their brains. The second section describes what is known about the primate choice mechanism-the physical structures in our brains that actively select among the options available to the chooser. By reviewing and integrating economic theory of choice, neurobiological studies of the frontal and parietal cortices, and psychological models of selection, Glimcher creates an interdisciplinary structure for understanding how we choose. This interdisciplinary synthesis leads to several novel insights into the causes of human irrational behavior and recasts many of these so-called irrationalities as neurobiological optimizations in the face of physical constraints. The third section describes the neural circuits for valuation-the physical mechanisms by which we learn, store, and represent the values of the many options from which we choose. In this section, Glimcher combines studies from computer science and neuroscience with representational frameworks from economics to provide novel assessments of both the strengths and weaknesses of modern economic theory. The section ends with a discussion of behavioral neuroeconomics and the ultimate limits of the neoclassical economic program. The book concludes with a description of a new model for human choice behavior that harvests constraints from each of neuroeconomics' parent disciplines and encapsulates the key insights from current research, as well as a review of the major accomplishments and opportunities that await the new field of neuroeconomics.

Recenzijas

Foundations of Neuroeconomic Analysis stands out by the breadth of the comprehension of vastly different intellectual traditions, by the degree of integration achieved and by the solidity of the empirical material presented. This is a truly important book. * Clement Levallois, Journal of Economic Methodology * For those who have not dogmatically shut their eyes for insights and findings from psychology and neuroscience, Glimchers book provides a fascinating and rewarding read. * Cambridge Journals *

Introduction: Wherefore Neuroeconomics? xi
Section 1 The Challenge of Neuroeconomics
1 Standing at the Threshold
3(14)
2 Epistemological Constraints on Consilience
17(20)
3 Economic Kinds: Understanding the Abstractions and Esthetics of Economic Thought
37(34)
4 Using Psychology to See the Brain in Economics
71(28)
5 Behavioral Economics: Exceeding the Limits of Traditional Neoclassical Models
99(26)
6 Because, Not As If
125(18)
Section 2 The Choice Mechanism
7 Neurobiological Kinds: Understanding the Abstractions of Neurobiological Thought
143(22)
8 Hard-EU and the Rudiments of a Standard Model
165(28)
9 Stochasticity and the Separation of Utility from Choice
193(32)
10 The Implications of Neuronal Stochasticity and Cortical Representation for Behavioral Models of Choice
225(26)
11 Putting the Choice Mechanism Together: A Summary
251(22)
Section 3 Valuation
12 The Problem of Value
273(26)
13 The Basics of Dopamine: How We Learn and Store Value
299(46)
14 Locating and Constructing Subjective Value in the Front of the Brain
345(24)
15 Beyond Neoclassics: Behavioral Neuroeconomics
369(24)
Section 4 Summary and Conclusions
16 Foundations of Neuroeconomic Models
393(22)
17 Conclusions
415(14)
References 429(26)
Author Index 455(6)
Subject Index 461
Paul W. Glimcher is Professor of Neural Science, Economics and Psychology at New York University. He is the director of the Center for Neuroeconomics there, the author of Decisions, Uncertainty and the Brain (2003) and the chief editor of Neuroeconomics, Decision Making and the Brain (2009).