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Economics and Cognitive Science -  Paul Bourgine,  Bernard Walliser

Economics and Cognitive Science (eBook)

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2014 | 1. Auflage
238 Seiten
Elsevier Science (Verlag)
978-1-4832-9489-6 (ISBN)
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Economics, dealing with mental processes of decision makers is part of cognitive science; conversely, cognitive science, faced with constraints on information processing, is part of economics. In July 1990, the Cecoia 2 conference was organised in Paris to further explore the connections between the two. The papers presented in this volume illustrate this truly interdisciplinary research intertwining social and cognitive sciences. Three main topics are represented: agent's mental representation when facing complex uncertainty; agent's computational constraints leading to bounded rationality; agent's learning and evolution in an imperfectly known environment.
Economics, dealing with mental processes of decision makers is part of cognitive science; conversely, cognitive science, faced with constraints on information processing, is part of economics. In July 1990, the Cecoia 2 conference was organised in Paris to further explore the connections between the two. The papers presented in this volume illustrate this truly interdisciplinary research intertwining social and cognitive sciences. Three main topics are represented: agent's mental representation when facing complex uncertainty; agent's computational constraints leading to bounded rationality; agent's learning and evolution in an imperfectly known environment.

Front Cover 1
Economics and Cognitive Science 4
Copyright Page 5
Table of Contents 8
CHAPTER 1. INTERDISCIPLINARY RESEARCH BETWEEN ECONOMICS & COGNITIVE SCIENCE
Topic 1: Agents' mental representation 10
Topic 2: Agents' computational constraints 10
Topic 3: Agents' learning and evolution 11
CHAPTER 2. Rational Self-Government and Universal Default Logics 14
ABSTRACT 14
KEYWORDS 14
RATIONAL SELF-GOVERNMENT 14
RATIONAL ASSUMPTION-MAKING 15
PREFERENTIAL THEORIES OF DEFAULT LOGICS 16
AGGREGATING PREFERENCE CRITERIA 17
IMPOSSIBILITY RESULTS 19
CONCLUSION 21
REFERENCES 21
CHAPTER 3. Belief Revision and Decision Under Complex Uncertainty 24
ABSTRACT 24
KEYWORDS 24
INTRODUCTION 24
UNCERTAINTY MODELS 25
UPDATING RULES 30
DECISION PROCEDURES 37
APPENDIX 42
REFERENCES 46
CHAPTER 4. CAN PREDICTIVE AGENTS PREVENT CHAOS? 50
ABSTRACT 50
KEYWORDS 50
INTRODUCTION 50
MODEL 51
NON-PREDICTIVE AGENTS 52
TECHNICAL ANALYSTS 55
SYSTEM ANALYSTS 59
ADAPTIVE SYSTEM ANALYSTS 60
CONCLUSION 62
ACKNOWLEDGMENT 63
REFERENCES 63
CHAPTER 5. A GENETIC APPROACH TO ECONOMETRIC MODELING 66
ABSTRACT 66
KEYWORDS 66
INTRODUCTION AND OVERVIEW 66
BACKGROUND ON GENETIC ALGORITHMS 67
BACKGROUND ON GENETIC PROGRAMMING PARADIGM 68
DESCRIPTION OF THE GENETIC PROGRAMMING PARADIGM 69
REDISCOVERING THE "EXCHANGE EQUATION" FROM EMPIRICAL TIME SERIES DATA 76
CONCLUSION 82
ACKNOWLEDGMENTS 83
REFERENCES 83
CHAPTER 6. MODEL-BASED DIAGNOSIS OF AN ECONOMY 86
ABSTRACT 86
KEYWORDS 86
INTRODUCTION 86
QUANTITATIVE VERSUS QUALITATIVE MODELLING 88
A "DEEP" MODEL OF AN ECONOMIC SYSTEM 90
NUMERIC CONSTRAINT PROPAGATION 93
DIAGNOSTIC REASONING 94
CURRENT IMPLEMENTATION 97
RELATED WORK 97
CONCLUSIONS AND FURTHER WORK 98
ACKNOWLEDGMENTS 98
REFERENCES 99
CHAPTER 7. ADAPTIVE AND INDUCTIVE DELIBERATIONAL DYNAMICS 102
ABSTRACT 102
DYNAMIC DELIBERATION BASED ON ADAPTIVE RULES 102
DYNAMIC DELIBERATION BASED ON INDUCTIVE RULES 104
ACCESSIBLE POINTS 106
STABILITY AND PERFECTION 108
CONVERGENCE 109
RATIONALIZABILITY AND CORRELATION 111
ACKNOWLEDGEMENT 113
REFERENCES 114
CHAPTER 8. ON THE DYNAMICS OF INTERACTION IN LARGE ECONOMIES 118
ABSTRACT 118
KEYWORDS 118
REFERENCES 121
REASONING WITH BOUNDED KNOWLEDGE 122
ABSTRACT 122
KEYWORDS 122
THREATS AND PROMISES 122
FINITE REPETITION AND BACKWARDS INDUCTION 125
BOUNDED KNOWLEDGE 126
REFERENCES 130
CHAPTER 9. EXPERT SYSTEMS AS A METHODOLOGICAL STEP IN CONVENTIONAL DECISION SUPPORT SYSTEMS DESIGN 132
ABSTRACT 132
KEYWORDS 132
INTRODUCTION 132
A CASE STUDY : GOLD MINES PORTFOLIO MANAGEMENT 133
DISCUSSION 136
CONCLUSION 140
REFERENCES 140
CHAPTER 10. SOLVING FINANCIAL DECISION PROBLEMS IN CHIP1 142
ABSTRACT 142
INTRODUCTION 142
THE CHIP LANGUAGE 143
CHIP AS A MODELLING LANGUAGE 143
CHIP AS A DSS DEVELOPMENT LANGUAGE 148
DISCUSSION AND CONCLUSION 148
Acknowledgments. 149
References 149
CHAPTER 11. ECONOMIC EVALUATION OF EXPERT-SYSTEMS : THE CASE OF AEROSPATIALE COMPANY 152
ABSTRACT 152
INTRODUCTION 152
PROJECT RELEVANCE ANALYSIS 153
LOCAL EFFECTS ANALYSIS 155
GLOBAL EFFECTS ANALYSIS 157
STRATEGICAL EFFECTS ANALYSTS 159
CONCLUSIONS 161
REFERENCES 163
CHAPTER 12. AN APPROACH TO FORMALIZING POLICY MANAGMENT 164
ABSTRACT 164
KEYWORDS 164
INTRODUCTION 164
AN OBJECT-ORIENTED APPROACH TO POLICY FORMULATION 166
POLICY ENFORCEMENT: A MODEL APPROACH 174
POLICY FORMULATION 177
CONCLUSIONS 177
REFERENCES 178
CHAPTER 13. ORGANIZATIONAL INTELLIGENCE : COORDINATION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE 180
ABSTRACT 180
KEYWORDS 180
INTRODUCTION 181
INTERACTION OF HUMAN INTELLIGENCE IN ORGANIZATION 181
INTERACTION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE IN ORGANIZATION 183
S3-COORDINATION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE- ADVANCED ORGANIZATIONAL INTELLIGENCE ENGINEERING 186
INTERACTION AMONG MACHINE INTELLIGENCE UNITS IN ORGANIZATION -"PSEUDO" INTELLIGENCE SOCIOLOGY 188
REFERENCES 188
CHAPTER 14. INTEGRATION AND LEARNING PROCESS 190
ABSTRACT 190
KEYWORDS 190
INTRODUCTION 190
THE EVOLUTION OF MANUFACTURING SYSTEMS: 191
FLEXIBILITIES AND INTEGRATION PROCESSES 192
INTEGRATION AS A STRATEGIC CHOICE IN THE REACTIVITY MODEL 194
REFERENCES 197
CHAPTER 15. TWO TEMPORALITIES, TWO RATIONALITIES: A NEW LOOK AT NEWCOMB'S PARADOX 200
RATIONALITY AND THE REVERSIBILITY OF TIME 201
NEWCOMB'S PARADOX 202
DIVINE FOREKNOWLEDGE AND FREE WILL 204
ESSENTIAL OMNISCIENCE AND NON-ESSENTIAL OMNISCIENCE 209
TWO FORMS OF TEMPORALITY 210
FROM LUNG CANCER TO THE SPIRIT OF CAPITALISM 213
COUNTERFACTUAL DECISION THEORY 221
PRISONER'S DILEMMA AND NEWCOMB'S PROBLEM 222
THE INCOMPLETENESS OF PROJECTED TIME AND THE PARADOX OF BACKWARDS INDUCTION 224
REFERENCES 228
INDEX 230

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