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Modeling Bounded Rationallity
222页 1.17M 英文
© 1998 Massachusetts Institute of Technology
Zeuthen Lecture Book Series Karl Gunnar Persson, editor
Modeling Bounded Rationality, Ariel Rubinstein
The MIT Press Cambridge, Massachusetts London, England
大师Ariel Rubinstein的《有限理性建模》，值得一读的好书！
Book Description
The notion of bounded rationality was initiated in the 1950s by Herbert Simon; only recently has it influenced mainstream economics. In this book, Ariel Rubinstein defines models of bounded rationality as those in which elements of the process of choice are explicitly embedded. The book focuses on the challenges of modeling bounded rationality, rather than on substantial economic implications.
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(1.17 MB)
本附件包括：
Contents
Series Foreword ix
Preface xi
Introduction 1
1 “Modeling” and “Bounded Rationality” 1
2 The Aim of This Book 2
3 The State of the Art 3
4 A Personal Note 5
5 Bibliographic Notes 5
1 Bounded Rationality in Choice 7
1.1 The “Rational Man” 7
1.2 The Traditional Economist’s Position 10
1.3 The Attack on the Traditional Approach 13
1.4 Experimental Evidence 16
1.5 Comments 21
1.6 Bibliographic Notes 23
1.7 Projects 24
2 Modeling Procedural Decision Making 25
2.1 Motivation 25
2.2 Preparing the Tools: Similarity Relations 28
2.3 A Procedure of Choice Between Vectors 29
2.4 Analysis 31
2.5 Case-Based Theory 34
2.6 Bibliographic Notes 37
2.7 Projects 37
3M odeling Knowledge 41
3.1 Knowledge and Bounded Rationality 41
3.2 Information Structure 41
3.3 The Set-Theoretical Deanition of Knowledge 46
3.4 Kripke’s Model 48
3.5 The Impact of the Timing of Decisions and Having
More Information 52
3.6 On the Possibility of Speculative Trade 56
3.7 Bibliographic Notes 60
3.8 Projects 61
4 Modeling Limited Memory 63
4.1 Imperfect Recall 63
4.2 An Extensive Decision Making Model with Imperfect
Information 64
4.3 Perfect and Imperfect Recall 68
4.4 Time Consistency 70
4.5 The Role of Randomization 75
4.6 The Multiselves Approach 78
4.7 On the Problematics of Using the Model 81
4.8 Bibliographic Notes 84
4.9Pr ojects 84
5 Choosing What to Know 87
5.1 Optimal Information Structures 87
5.2 What Is “High” and What Is “Low”? 89
5.3 Manipulating Informational Restrictions 93
5.4 Perceptrons 100
5.5 Bibliographic Notes 104
5.6 Projects 104
6 Modeling Complexity in Group Decisions 107
6.1 Introduction 107
6.2 The Model of a Team 108
6.3 Processing Information 113
6.4 Aggregating Preferences 117
6.5 Bibliographic Notes 119
6.6 Projects 120
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[此贴子已经被作者于2007-3-7 8:09:23编辑过]
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