Bourgine / Walliser Economics and Cognitive Science

1. Auflage 2014
ISBN: 978-1-4832-9489-6
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 238 Seiten, Web PDF

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.

Autoren/Hrsg.

Bourgine, Paul

Walliser, Bernard

Inhaltsverzeichnis

1;Front Cover;1
2;Economics and Cognitive Science;4
3;Copyright Page;5
4;Table of Contents;8
5;CHAPTER 1. INTERDISCIPLINARY RESEARCH BETWEEN ECONOMICS & COGNITIVE SCIENCE ;10
5.1;Topic 1: Agents' mental representation;10
5.2;Topic 2: Agents' computational constraints;10
5.3;Topic 3: Agents' learning and evolution;11
6;CHAPTER 2. Rational Self-Government and Universal Default Logics ;14
6.1;ABSTRACT;14
6.2;KEYWORDS;14
6.3;RATIONAL SELF-GOVERNMENT;14
6.4;RATIONAL ASSUMPTION-MAKING;15
6.5;PREFERENTIAL THEORIES OF DEFAULT LOGICS;16
6.6;AGGREGATING PREFERENCE CRITERIA;17
6.7;IMPOSSIBILITY RESULTS;19
6.8;CONCLUSION;21
6.9;REFERENCES;21
7;CHAPTER 3. Belief Revision and Decision Under Complex Uncertainty ;24
7.1;ABSTRACT;24
7.2;KEYWORDS;24
7.3;INTRODUCTION;24
7.4;UNCERTAINTY MODELS;25
7.5;UPDATING RULES;30
7.6;DECISION PROCEDURES;37
7.7;APPENDIX;42
7.8;REFERENCES;46
8;CHAPTER 4. CAN PREDICTIVE AGENTS PREVENT CHAOS? ;50
8.1;ABSTRACT;50
8.2;KEYWORDS;50
8.3;INTRODUCTION;50
8.4;MODEL;51
8.5;NON-PREDICTIVE AGENTS;52
8.6;TECHNICAL ANALYSTS;55
8.7;SYSTEM ANALYSTS;59
8.8;ADAPTIVE SYSTEM ANALYSTS;60
8.9;CONCLUSION;62
8.10;ACKNOWLEDGMENT;63
8.11;REFERENCES;63
9;CHAPTER 5. A GENETIC APPROACH TO ECONOMETRIC MODELING ;66
9.1;ABSTRACT;66
9.2;KEYWORDS;66
9.3;INTRODUCTION AND OVERVIEW;66
9.4;BACKGROUND ON GENETIC ALGORITHMS;67
9.5;BACKGROUND ON GENETIC PROGRAMMING PARADIGM;68
9.6;DESCRIPTION OF THE GENETIC PROGRAMMING PARADIGM;69
9.7;REDISCOVERING THE "EXCHANGE EQUATION" FROM EMPIRICAL TIME SERIES DATA;76
9.8;CONCLUSION;82
9.9;ACKNOWLEDGMENTS;83
9.10;REFERENCES;83
10;CHAPTER 6. MODEL-BASED DIAGNOSIS OF AN ECONOMY ;86
10.1;ABSTRACT;86
10.2;KEYWORDS;86
10.3;INTRODUCTION;86
10.4;QUANTITATIVE VERSUS QUALITATIVE MODELLING;88
10.5;A "DEEP" MODEL OF AN ECONOMIC SYSTEM;90
10.6;NUMERIC CONSTRAINT PROPAGATION;93
10.7;DIAGNOSTIC REASONING;94
10.8;CURRENT IMPLEMENTATION;97
10.9;RELATED WORK;97
10.10;CONCLUSIONS AND FURTHER WORK;98
10.11;ACKNOWLEDGMENTS;98
10.12;REFERENCES;99
11;CHAPTER 7. ADAPTIVE AND INDUCTIVE DELIBERATIONAL DYNAMICS;102
11.1;ABSTRACT;102
11.2;DYNAMIC DELIBERATION BASED ON ADAPTIVE RULES;102
11.3;DYNAMIC DELIBERATION BASED ON INDUCTIVE RULES;104
11.4;ACCESSIBLE POINTS;106
11.5;STABILITY AND PERFECTION;108
11.6;CONVERGENCE;109
11.7;RATIONALIZABILITY AND CORRELATION;111
11.8;ACKNOWLEDGEMENT;113
11.9;REFERENCES;114
12;CHAPTER 8. ON THE DYNAMICS OF INTERACTION IN LARGE ECONOMIES ;118
12.1;ABSTRACT;118
12.2;KEYWORDS;118
12.3;REFERENCES;121
12.4;REASONING WITH BOUNDED KNOWLEDGE;122
12.5;ABSTRACT;122
12.6;KEYWORDS;122
12.7;THREATS AND PROMISES;122
12.8;FINITE REPETITION AND BACKWARDS INDUCTION;125
12.9;BOUNDED KNOWLEDGE;126
12.10;REFERENCES;130
13;CHAPTER 9. EXPERT SYSTEMS AS A METHODOLOGICAL STEP IN CONVENTIONAL DECISION SUPPORT SYSTEMS DESIGN ;132
13.1;ABSTRACT;132
13.2;KEYWORDS;132
13.3;INTRODUCTION;132
13.4;A CASE STUDY : GOLD MINES PORTFOLIO MANAGEMENT;133
13.5;DISCUSSION;136
13.6;CONCLUSION;140
13.7;REFERENCES;140
14;CHAPTER 10. SOLVING FINANCIAL DECISION PROBLEMS IN CHIP1 ;142
14.1;ABSTRACT;142
14.2;INTRODUCTION;142
14.3;THE CHIP LANGUAGE;143
14.4;CHIP AS A MODELLING LANGUAGE;143
14.5;CHIP AS A DSS DEVELOPMENT LANGUAGE;148
14.6;DISCUSSION AND CONCLUSION;148
14.7;Acknowledgments.;149
14.8;References;149
15;CHAPTER 11. ECONOMIC EVALUATION OF EXPERT-SYSTEMS : THE CASE OF AEROSPATIALE COMPANY ;152
15.1;ABSTRACT;152
15.2;INTRODUCTION;152
15.3;PROJECT RELEVANCE ANALYSIS;153
15.4;LOCAL EFFECTS ANALYSIS;155
15.5;GLOBAL EFFECTS ANALYSIS;157
15.6;STRATEGICAL EFFECTS ANALYSTS;159
15.7;CONCLUSIONS;161
15.8;REFERENCES;163
16;CHAPTER 12. AN APPROACH TO FORMALIZING POLICY MANAGMENT ;164
16.1;ABSTRACT;164
16.2;KEYWORDS;164
16.3;INTRODUCTION;164
16.4;AN OBJECT-ORIENTED APPROACH TO POLICY FORMULATION;166
16.5;POLICY ENFORCEMENT: A MODEL APPROACH;174
16.6;POLICY FORMULATION;177
16.7;CONCLUSIONS;177
16.8;REFERENCES;178
17;CHAPTER 13. ORGANIZATIONAL INTELLIGENCE : COORDINATION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE ;180
17.1;ABSTRACT;180
17.2;KEYWORDS;180
17.3;INTRODUCTION;181
17.4;INTERACTION OF HUMAN INTELLIGENCE IN ORGANIZATION;181
17.5;INTERACTION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE IN ORGANIZATION;183
17.6;S3-COORDINATION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE- ADVANCED ORGANIZATIONAL INTELLIGENCE ENGINEERING;186
17.7;INTERACTION AMONG MACHINE INTELLIGENCE UNITS IN ORGANIZATION -"PSEUDO" INTELLIGENCE SOCIOLOGY;188
17.8;REFERENCES;188
18;CHAPTER 14. INTEGRATION AND LEARNING PROCESS ;190
18.1;ABSTRACT;190
18.2;KEYWORDS;190
18.3;INTRODUCTION;190
18.4;THE EVOLUTION OF MANUFACTURING SYSTEMS:;191
18.5;FLEXIBILITIES AND INTEGRATION PROCESSES;192
18.6;INTEGRATION AS A STRATEGIC CHOICE IN THE REACTIVITY MODEL;194
18.7;REFERENCES;197
19;CHAPTER 15. TWO TEMPORALITIES, TWO RATIONALITIES: A NEW LOOK AT NEWCOMB'S PARADOX;200
19.1;RATIONALITY AND THE REVERSIBILITY OF TIME;201
19.2;NEWCOMB'S PARADOX;202
19.3;DIVINE FOREKNOWLEDGE AND FREE WILL;204
19.4;ESSENTIAL OMNISCIENCE AND NON-ESSENTIAL OMNISCIENCE;209
19.5;TWO FORMS OF TEMPORALITY;210
19.6;FROM LUNG CANCER TO THE SPIRIT OF CAPITALISM;213
19.7;COUNTERFACTUAL DECISION THEORY;221
19.8;PRISONER'S DILEMMA AND NEWCOMB'S PROBLEM;222
19.9;THE INCOMPLETENESS OF PROJECTED TIME AND THE PARADOX OF BACKWARDS INDUCTION;224
19.10;REFERENCES;228
20;INDEX;230