Description

Book Synopsis

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

    Table of Contents

    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 143

    Data Mining at the Macro, Meso, and Micro Levels 148

    Cultural Algorithms and Multiobjective Optimization 149

    The Artisanal Fishing Model 153

    The Experimental Results 159

    Statistical Validation 163

    Conclusions and Future Work 166

    References 167

    9 CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer 169
    Samuel Dustin Stanley, Khalid Kattan, and Robert G. Reynolds

    Introduction 169

    Multiobjective Optimization 170

    Cultural Algorithms 171

    CAPSO Knowledge Structures 174

    Tracking Knowledge Source Progress (Other than Topographic) 176

    CAPSO Algorithm Pseudocode 177

    Multiple Runs 180

    Comparison of Benchmark Problems 180

    Overall Summary of Results 192

    Other Applications 192

    References 193

    10 Exploring Virtual Worlds with Cultural Algorithms: Ancient Alpena–Amberley Land Bridge 195
    Thomas Palazzolo, Robert G. Reynolds, and Samuel Dustin Stanley

    Archaeological Challenges 195

    Generalized Framework 198

    The Land Bridge Hypothesis 199

    Origin and Form 204

    Putting Data to Work 205

    Pathfinding and Planning 215

    Identifying Good Locations: The Hotspot Finder 218

    Cultural Algorithms 222

    Cultural Algorithm Mechanisms 225

    The Composition of the Belief Space 226

    Future Work 227

    Path Planning Strategy 227

    Local Tactics 229

    Detailed Locational Information 230

    Extending the CA 231

    Human Presence in the Virtual World 234

    Increasing the Complexity 235

    Updated Path-Planning Results in Unity 236

    The Fully Rendered Land Bridge 237

    Pathfinder Mechanisms 239

    Results 245

    Conclusions 254

    References 255

    Index 259

Cultural Algorithms

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    A Hardback by Robert G. Reynolds

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      Publisher: John Wiley & Sons Inc
      Publication Date: 22/01/2021
      ISBN13: 9781119403081, 978-1119403081
      ISBN10: 1119403081
      Also in:
      Computer science

      Description

      Book Synopsis

      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

        Table of Contents

        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 143

        Data Mining at the Macro, Meso, and Micro Levels 148

        Cultural Algorithms and Multiobjective Optimization 149

        The Artisanal Fishing Model 153

        The Experimental Results 159

        Statistical Validation 163

        Conclusions and Future Work 166

        References 167

        9 CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer 169
        Samuel Dustin Stanley, Khalid Kattan, and Robert G. Reynolds

        Introduction 169

        Multiobjective Optimization 170

        Cultural Algorithms 171

        CAPSO Knowledge Structures 174

        Tracking Knowledge Source Progress (Other than Topographic) 176

        CAPSO Algorithm Pseudocode 177

        Multiple Runs 180

        Comparison of Benchmark Problems 180

        Overall Summary of Results 192

        Other Applications 192

        References 193

        10 Exploring Virtual Worlds with Cultural Algorithms: Ancient Alpena–Amberley Land Bridge 195
        Thomas Palazzolo, Robert G. Reynolds, and Samuel Dustin Stanley

        Archaeological Challenges 195

        Generalized Framework 198

        The Land Bridge Hypothesis 199

        Origin and Form 204

        Putting Data to Work 205

        Pathfinding and Planning 215

        Identifying Good Locations: The Hotspot Finder 218

        Cultural Algorithms 222

        Cultural Algorithm Mechanisms 225

        The Composition of the Belief Space 226

        Future Work 227

        Path Planning Strategy 227

        Local Tactics 229

        Detailed Locational Information 230

        Extending the CA 231

        Human Presence in the Virtual World 234

        Increasing the Complexity 235

        Updated Path-Planning Results in Unity 236

        The Fully Rendered Land Bridge 237

        Pathfinder Mechanisms 239

        Results 245

        Conclusions 254

        References 255

        Index 259

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