A thorough look at how societies can use cultural algorithms to understand human social evolution

For those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work.

For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms.

In addition to these topics, the book covers topics including:

* The CAT system including the Repast Simphony System and CAT Sample Runs

* How to problem solve using social networks in cultural algorithms with auctions

* Understanding Common Value Action to enhance Social Knowledge Distribution Systems

* Case studies on team formations

* An exploration of virtual worlds using cultural algorithms

For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.

DR. ROBERT G. REYNOLDS is a Professor of Computer Science at Wayne State University and a Visiting Research Scientist at the University of Michigan's Museum of Anthropology. In addition to serving as the Computational Intelligence Representative to the IEEE USA Research and Development Committee, he has also been an Associate Editor for eight Intelligent System and IEEE journals.

Klappentext

A THOROUGH LOOK AT HOW SOCIETIES CAN USE CULTURAL ALGORITHMS TO UNDERSTAND HUMAN SOCIAL EVOLUTION

For those working in computational intelligence, developing an understanding of how collective intelligence emerges from the interaction of human agents over time is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems for sustainable learning in dynamic environments.

For such a vast topic, the text covers everything from the history of the development of cultural algorithms from the standpoint of Agent-Based modeling and Complex Systems. Readers will also learn how other nature-inspired algorithms can be expressed in a cultural context and how to use social metrics to assess the performance of various cultural algorithms.

In addition to these topics, the book covers topics including:

• An overview of the Cultural Algorithms Toolkit (CAT) for prototyping Cultural Algorithms along with CAT Sample Runs
• Problem solving using social networks in cultural algorithms with auctions
• Multi-layered deep social learning with subcultures
• Use of Formal Game Theory to enhance Social Knowledge Distributio in Cultural Algorithms
• Cultural Learning as a Thermodynamic Process-the Cultural Engine as a vehicle for sustainable learning
• Multi-Objective problem solving in Cultural Algorithms
• Case studies on team formations
• An exploration of virtual worlds using Cultural Algorithms

For industry professionals or new students interested in the foundation of social intelligence, Cultural Algorithms provides an impactful and thorough look how collective intelligence can emerge over time and how human social evolution translates into the modern world.

Inhalt

List of Contributors ix

About the Companion Website xi

1 System Design Using Cultural Algorithms 1
Robert G. Reynolds

Introduction 1

The Cultural Engine 4

Outline of the Book: Cultural Learning in Dynamic Environments 6

References 10

2 The Cultural Algorithm Toolkit System 11
Thomas Palazzolo

CAT Overview 11

Downloading and Running CAT 14

The Repast Simphony System 15

Knowledge Sources 15

Fitness Functions 18

ConesWorld 19

The Logistics Function 23

CAT Sample Runs: ConesWorld 24

CAT Sample Runs: Other Problems 32

Reference 34

3 Social Learning in Cultural Algorithms with Auctions 35
Robert G. Reynolds and Leonard Kinnaird-Heether

Introduction 35

Cultural Algorithms 37

Subcultured Multi-Layered, Deep Heterogeneous Networks 40

Auction Mechanisms 42

The Cultural Engine 45

ConesWorld 47

Experimental Framework 50

Results 50

Conclusions 54

References 55

4 Using Common Value Auction in Cultural Algorithm to Enhance Robustness and Resilience of Social Knowledge Distribution Systems 57
Anas AL-Tirawi and Robert G. Reynolds

Cultural Algorithms 57

Common Value Auction 62

ConesWorld 64

Dynamic Experimental Framework 66

Results 67

Conclusions and Future Work 73

References 73

5 Optimizing AI Pipelines: A Game-Theoretic Cultural Algorithms Approach 75
Faisal Waris and Robert G. Reynolds

Introduction 75

Overview of Cultural Algorithms 77

CA Knowledge Distribution Mechanisms 78

Primer on Game Theory 80

Game- Theoretic Knowledge Distribution 81

Continuous-Action Iterated Prisoner's Dilemma 82

Test Results: Benchmark Problem 89

Test Results: Computer Vision Pipeline 92

Conclusions 95

References 96

6 Cultural Algorithms for Social Network Analysis: Case Studies in Team Formation 98
Kalyani Selvarajah, Ziad Kobti, and Mehdi Kargar

Introduction 98

Application of Social Network 99

Forming Successful Teams 99

Formulating TFP 100

Communication Cost 101

Personnel Cost 101

Distance Cost 102

Workload Balance 102

Why Artificial Intelligence? 103

Cultural Algorithms 103

Forming Teams in Coauthorship Network 104

Individual Representation 105

Fitness Function 107

Belief Space 107

Dataset and Observations 108

Skill Frequency 108

Forming Teams in Health-care Network 108

Individual Representation 113

Fitness Function 114

Dataset and Observation 115

Summary and Conclusion 117

References 117

7 Evolving Emergent Team Strategies in Robotic Soccer using Enhanced Cultural Algorithms 119
Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, and Robert G. Reynolds

Introduction 119

Related Work 121

The 2D Soccer Simulation Test Bed 122

Evolution of Team Strategies via Cultural Algorithm 124

Experiments and Analysis of Results 132

Conclusion 138

References 139

8 The Use of Cultural Algorithms to Learn the Impact of Climate on Local Fishing Behavior in Cerro Azul, Peru 143
Khalid Kattan, Robert G. Reynolds, and Samuel Dustin Stanley

Introduction 143

An Overview of the Cerro Azul Fishing Dataset...