25 Books to Read Before You Die
 
 

Recently Viewed clear list


The Powell's Playlist | August 6, 2014

Graham Joyce: IMG The Powell’s Playlist: Graham Joyce



The Ghost in the Electric Blue Suit is set on the English coast in the hot summer of 1976, so the music in this playlist is pretty much all from the... Continue »
  1. $17.47 Sale Hardcover add to wish list

spacer

Complex Adaptive Systems: An Intro to Computational Models O (Princeton Studies in Complexity)

by

Complex Adaptive Systems: An Intro to Computational Models O (Princeton Studies in Complexity) Cover

 

Synopses & Reviews

Publisher Comments:

"The use of computational, especially agent-based, models has already shown its value in illuminating the study of economic and other social processes. Miller and Page have written an orientation to this field that is a model of motivation and insight, making clear the underlying thinking and illustrating it by varied and thoughtful examples. It conveys with remarkable clarity the essentials of the complex systems approach to the embarking researcher."--Kenneth J. Arrow, winner of the Nobel Prize in economics

"In Complex Adaptive Systems, two masters of this burgeoning field provide a highly readable and novel restatement of the logic of social interactions, linking individually based micro processes to macrosocial outcomes, ranging from Adam Smith's invisible hand to Thomas Schelling's models of standing ovations. The book combines the vision of a new Santa Fe school of computational, social, and behavioral science with essential 'how to' advice for apprentice modelers."--Samuel Bowles, author of Microeconomics: Behavior, Institutions, Evolution

"This is a wonderful book that will be read by graduate students, faculty, and policymakers. The authors write in an extraordinarily clear manner about topics that are very technical and difficult for many people. I sat down to begin thumbing through and found myself deeply engaged."--Elinor Ostrom, author of Understanding Institutional Diversity

Review:

"Shows that computational modeling is slowly beginning to take root in the social sciences." Philip Ball, Nature

Synopsis:

"The use of computational, especially agent-based, models has already shown its value in illuminating the study of economic and other social processes. Miller and Page have written an orientation to this field that is a model of motivation and insight, making clear the underlying thinking and illustrating it by varied and thoughtful examples. It conveys with remarkable clarity the essentials of the complex systems approach to the embarking researcher."--Kenneth J. Arrow, winner of the Nobel Prize in economics

"In Complex Adaptive Systems, two masters of this burgeoning field provide a highly readable and novel restatement of the logic of social interactions, linking individually based micro processes to macrosocial outcomes, ranging from Adam Smith's invisible hand to Thomas Schelling's models of standing ovations. The book combines the vision of a new Santa Fe school of computational, social, and behavioral science with essential 'how to' advice for apprentice modelers."--Samuel Bowles, author of Microeconomics: Behavior, Institutions, Evolution

"This is a wonderful book that will be read by graduate students, faculty, and policymakers. The authors write in an extraordinarily clear manner about topics that are very technical and difficult for many people. I sat down to begin thumbing through and found myself deeply engaged."--Elinor Ostrom, author of Understanding Institutional Diversity

Synopsis:

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents.

John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

About the Author

John H. Miller is Professor of Economics and Social Sciences at Carnegie Mellon University. Scott E. Page is Professor of Complex Systems, Political Science, and Economics at the University of Michigan. He is the author of "The Difference" (Princeton).

Table of Contents

List of Figures xiii

List of Tables xv

Preface xvii

Part I: Introduction 1

Chapter 1: Introduction 3

Chapter 2: Complexity in Social Worlds 9

2.1 The Standing Ovation Problem 10

2.2 What's the Buzz? 14

2.2.1 Stay Cool 14

2.2.2 Attack of the Killer Bees 15

2.2.3 Averaging Out Average Behavior 16

2.3 A Tale of Two Cities 17

2.3.1 Adding Complexity 20

2.4 New Directions 26

2.5 Complex Social Worlds Redux 27

2.5.1 Questioning Complexity 27

Part II: Preliminaries 33

Chapter 3: Modeling 35

3.1 Models as Maps 36

3.2 A More Formal Approach to Modeling 38

3.3 Modeling Complex Systems 40

3.4 Modeling Modeling 42

Chapter 4: On Emergence 44

4.1 A Theory of Emergence 46

4.2 Beyond Disorganized Complexity 48

4.2.1 Feedback and Organized Complexity 50

Part III: Computational Modeling 55

Chapter 5: Computation as Theory 57

5.1 Theory versus Tools 59

5.1.1 Physics Envy: A Pseudo-Freudian Analysis 62

5.2 Computation and Theory 64

5.2.1 Computation in Theory 64

5.2.2 Computation as Theory 67

5.3 Objections to Computation as Theory 68

5.3.1 Computations Build in Their Results 69

5.3.2 Computations Lack Discipline 70

5.3.3 Computational Models Are Only Approximations to Specific Circumstances 71

5.3.4 Computational Models Are Brittle 72

5.3.5 Computational Models Are Hard to Test 73

5.3.6 Computational Models Are Hard to Understand 76

5.4 New Directions 76

Chapter 6: Why Agent-Based Objects? 78

6.1 Flexibility versus Precision 78

6.2 Process Oriented 80

6.3 Adaptive Agents 81

6.4 Inherently Dynamic 83

6.5 Heterogeneous Agents and Asymmetry 84

6.6 Scalability 85

6.7 Repeatable and Recoverable 86

6.8 Constructive 86

6.9 Low Cost 87

6.10 Economic E. coli (E. coni?) 88

Part IV: Models of Complex Adaptive Social Systems 91

Chapter 7: A Basic Framework 93

7.1 The Eightfold Way 93

7.1.1 Right View 94

7.1.2 Right Intention 95

7.1.3 Right Speech 96

7.1.4 Right Action 96

7.1.5 Right Livelihood 97

7.1.6 Right Effort 98

7.1.7 Right Mindfulness 100

7.1.8 Right Concentration 101

7.2 Smoke and Mirrors: The Forest Fire Model 102

7.2.1 A Simple Model of Forest Fires 102

7.2.2 Fixed, Homogeneous Rules 102

7.2.3 Homogeneous Adaptation 104

7.2.4 Heterogeneous Adaptation 105

7.2.5 Adding More Intelligence: Internal Models 107

7.2.6 Omniscient Closure 108

7.2.7 Banks 109

7.3 Eight Folding into One 110

7.4 Conclusion 113

Chapter 8: Complex Adaptive Social Systems in One Dimension 114

8.1 Cellular Automata 115

8.2 Social Cellular Automata 119

8.2.1 Socially Acceptable Rules 120

8.3 Majority Rules 124

8.3.1 The Zen of Mistakes in Majority Rule 128

8.4 The Edge of Chaos 129

8.4.1 Is There an Edge? 130

8.4.2 Computation at the Edge of Chaos 137

8.4.3 The Edge of Robustness 139

Chapter 9: Social Dynamics 141

9.1 A Roving Agent 141

9.2 Segregation 143

9.3 The Beach Problem 146

9.4 City Formation 151

9.5 Networks 154

9.5.1 Majority Rule and Network Structures 158

9.5.2 Schelling's Segregation Model and Network Structures 163

9.6 Self-Organized Criticality and Power Laws 165

9.6.1 The Sand Pile Model 167

9.6.2 A Minimalist Sand Pile 169

9.6.3 Fat-Tailed Avalanches 171

9.6.4 Purposive Agents 175

9.6.5 The Forest Fire Model Redux 176

9.6.6 Criticality in Social Systems 177

Chapter 10: Evolving Automata 178

10.1 Agent Behavior 178

10.2 Adaptation 180

10.3 A Taxonomy of 2 x 2 Games 185

10.3.1 Methodology 187

10.3.2 Results 189

10.4 Games Theory: One Agent, Many Games 191

10.5 Evolving Communication 192

10.5.1 Results 194

10.5.2 Furthering Communication 197

10.6 The Full Monty 198

Chapter 11: Some Fundamentals of Organizational Decision Making 200

11.1 Organizations and Boolean Functions 201

11.2 Some Results 203

11.3 Do Organizations Just Find Solvable Problems? 206

11.3.1 Imperfection 207

11.4 Future Directions 210

Part V: Conclusions 211

Chapter 12: Social Science in Between 213

12.1 Some Contributions 214

12.2 The Interest in Between 218

12.2.1 In between Simple and Strategic Behavior 219

12.2.2 In between Pairs and Infinities of Agents 221

12.2.3 In between Equilibrium and Chaos 222

12.2.4 In between Richness and Rigor 223

12.2.5 In between Anarchy and Control 225

12.3 Here Be Dragons 225

Epilogue 227

The Interest in Between 227

Social Complexity 228

The Faraway Nearby 230

Appendixes

A An Open Agenda For Complex Adaptive Social Systems 231

A.1 Whither Complexity 231

A.2 What Does it Take for a System to Exhibit Complex Behavior? 233

A.3 Is There an Objective Basis for Recognizing Emergence and Complexity? 233

A.4 Is There a Mathematics of Complex Adaptive Social Systems? 234

A.5 What Mechanisms Exist for Tuning the Performance of Complex Systems? 235

A.6 Do Productive Complex Systems Have Unusual Properties? 235

A.7 Do Social Systems Become More Complex over Time 236

A.8 What Makes a System Robust? 236

A.9 Causality in Complex Systems? 237

A.10 When Does Coevolution Work? 237

A.11 When Does Updating Matter? 238

A.12 When Does Heterogeneity Matter? 238

A.13 How Sophisticated Must Agents Be Before They Are Interesting? 239

A.14 What Are the Equivalence Classes of Adaptive Behavior? 240

A.15 When Does Adaptation Lead to Optimization and Equilibrium? 241

A.16 How Important Is Communication to Complex Adaptive Social Systems? 242

A.17 How Do Decentralized Markets Equilibrate? 243

A.18 When Do Organizations Arise? 243

A.19 What Are the Origins of Social Life? 244

B Practices for Computational Modeling 245

B.1 Keep the Model Simple 246

B.2 Focus on the Science, Not the Computer 246

B.3 The Old Computer Test 247

B.4 Avoid Black Boxes 247

B.5 Nest Your Models 248

B.6 Have Tunable Dials 248

B.7 Construct Flexible Frameworks 249

B.8 Create Multiple Implementations 249

B.9 Check the Parameters 250

B.10 Document Code 250

B.11 Know the Source of Random Numbers 251

B.12 Beware of Debugging Bias 251

B.13 Write Good Code 251

B.14 Avoid False Precision 252

B.15 Distribute Your Code 253

B.16 Keep a Lab Notebook 253

B.17 Prove Your Results 253

B.18 Reward the Right Things 254

Bibliography 255

Index 261

Product Details

ISBN:
9780691127026
Author:
Miller, John H.
Publisher:
Princeton University Press
Author:
Page, Scott E.
Author:
Levin, Simon A.
Location:
Princeton
Subject:
General
Subject:
Applied
Subject:
Sociology - Social Theory
Subject:
System Theory
Subject:
Social sciences
Subject:
Social systems
Subject:
General Social Science
Subject:
Political Science and International Relations
Subject:
Economics
Subject:
Mathematics
Subject:
Sociology
Subject:
History of Science and Medicine, Philosophy of Science
Subject:
Social sciences -- Mathematical models.
Subject:
Social systems -- Mathematical models.
Subject:
Mathematics-Systems Theory
Copyright:
Edition Description:
Trade paper
Series:
Princeton Studies in Complexity
Publication Date:
March 2007
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
18 halftones. 16 line illus. 42 tables.
Pages:
272
Dimensions:
9 x 6 in

Other books you might like

  1. I Am a Strange Loop
    Used Hardcover $8.50
  2. Genesis: The Scientific Quest for... Used Trade Paper $10.00
  3. Why Humans Cooperate: A Cultural and... Used Trade Paper $38.00
  4. SYNC: How Order Emerges from Chaos...
    Used Trade Paper $8.50

Related Subjects

History and Social Science » Economics » General
History and Social Science » Sociology » General
Reference » Science Reference » Philosophy of Science
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Modeling
Science and Mathematics » Mathematics » Popular Chaos and Fractals
Science and Mathematics » Mathematics » Systems Theory

Complex Adaptive Systems: An Intro to Computational Models O (Princeton Studies in Complexity) New Trade Paper
0 stars - 0 reviews
$47.95 In Stock
Product details 272 pages Princeton University Press - English 9780691127026 Reviews:
"Review" by , "Shows that computational modeling is slowly beginning to take root in the social sciences."
"Synopsis" by , "The use of computational, especially agent-based, models has already shown its value in illuminating the study of economic and other social processes. Miller and Page have written an orientation to this field that is a model of motivation and insight, making clear the underlying thinking and illustrating it by varied and thoughtful examples. It conveys with remarkable clarity the essentials of the complex systems approach to the embarking researcher."--Kenneth J. Arrow, winner of the Nobel Prize in economics

"In Complex Adaptive Systems, two masters of this burgeoning field provide a highly readable and novel restatement of the logic of social interactions, linking individually based micro processes to macrosocial outcomes, ranging from Adam Smith's invisible hand to Thomas Schelling's models of standing ovations. The book combines the vision of a new Santa Fe school of computational, social, and behavioral science with essential 'how to' advice for apprentice modelers."--Samuel Bowles, author of Microeconomics: Behavior, Institutions, Evolution

"This is a wonderful book that will be read by graduate students, faculty, and policymakers. The authors write in an extraordinarily clear manner about topics that are very technical and difficult for many people. I sat down to begin thumbing through and found myself deeply engaged."--Elinor Ostrom, author of Understanding Institutional Diversity

"Synopsis" by , This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents.

John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.