Inhaltsangabe
Contents I Concepts And Methods 1 Good Reasons For Agent-Based Modeling 1.1 Integration Of Theory And Data 1.2 Causality And Uncertainty 1.3 Heterogeneity And Interaction 1.4 Scalability And Modularity 1.5 Interdisciplinarity 1.6 Conclusions 2 From Complexity To Agents And Their Models 9 2.1 Searching For Roots In Complexity 2.2 Agent-Based Models 2.3 Key Characteristics Of Agent-Based Models 2.4 Weaknesses And Perspectives 2.5 Learning In Abms 2.5.1 Reinforcement Learning 2.5.2 Summarizing Learning 3 Introducing The Swarm-Like Protocol In Python (SLAPP) 3.1 Intoducing SLAPP And Swarm 3.1.1 A Graphical Representation Of The Swarm Protocol 3.2 The Swarm Protocol Step By Step Vs. The SLAPP Implementation 3.2.1 The Swarm-Like Agent Protocol In Python (SLAPP) 3.2.2 The Swarm And SLAPP Tutorials 3.3 The SLAPP Code, Following The Tutorial 3.3.1 1 Plainprogrammingbug 3.4 The Schedule As A Clock Opening Metaphorical Boxes 3.5 A Basic Example 3.5.1 The Agents Of The Example 3.5.2 Modifications To The Basic SLAPP 3.5.3 Creating The Agents Of The Model 3.6 How To Use The Model 3.6.1 The Detailed Schedule, Built Via Spreadsheet Tables 3.6.2 The Basic Sequence Of The Actions Of The Observer And Of The Model 3.7 The (Commented) Output Of Our Example 3.8 Appendix II Applications 4 Studying Human Capital Development Via Models Of Interaction In School Classes 4.1 Introduction 4.1.1 The Analysis And Its Goals 4.2 The Structure 4.2.1 The Collected Data And The Agents 4.2.2 Modifications To The Basic SLAPP 4.2.3 Creating The Agents Of The Model 4.3 How To Use The Model 4.3.1 The Detailed Schedule, Built Via Spreadsheet Tables 4.3.2 The Basic Sequence Of The Actions Of The Observer And Of The Model 4.3.3 Examples Of Use And Displayed Effects 4.4 Appendix 5 Production Organization, Recipes And Networks, With A Few Steps In Network Analysis 5.1 Introduction 5.1.1 The Analysis And Its Goals 5.2 Introducing Networks And Network Analysis In Abms 5.2.1 The Recipes As Formalism 5.2.2 Interpreting The Network Results 5.3 The Structure 5.3.1 The Illustrative Examples And The Agents 5.3.2 Modifications To The Basic SLAPP 5.3.3 Creating The Agents Of The Model 5.4 How To Use The Model 5.4.1 The Detailed Schedule, Built Via Spreadsheet Tables 5.4.2 The Basic Sequence Of The Actions Of The Observer And Of The Model 5.5 Advanced Examples Of Use And Displayed Effects 5.5.1 Adding Or Removing Nodes Via The Detailed Schedule (Script) 5.5.2 Adding Or Removing Nodes Via The Basic Sequence Of The Actions Of The Model 5.6 Concluding Remarks 5.7 Appendix 6 Simulating An Interbank Payment System 6.1 Introduction 6.2 Simulating Interbank Payments 6.2.1 Building Two Systems Working In A Parallel Way 6.2.2 Acting Upon Time 6.2.3 Choosing A Price 6.2.4 Running The Simulator 6.3 Possible Developments 7 Bottom-Up Approach To Process And Organization Designing Of Consulting Firms 7.1 Introduction 7.2 The Software And Data Analysis 7.3 The Model 7.4 Scenario Analysis 7.5 Conclusions 8 Evaluating The Introduction Of Deductibles In Health Insurance System 8.1 Deductibles In Health System 8.2 The Model 8.2.1 Policymaker 8.2.2 Physician 8.2.3 Patient 8.3 Data Collection And Function Estimation 8.3.1 The Price Response Probability Function Estimation 8.3.2 The Prescription Propensity Function Estimation 8.3.3 The Overlook Function Definition 8.4 Simulation Tool 8.5 Output Analysis 8.6 Scenario Analysis 8.7 Results 8.8 Conclusions 8.9 Acknowledgments 9 Ex-Ante Evaluation Of Public Policies: Unintended Results Of Broadband Development 9.1 Introduction 9.1.1 The Policy Question 9.1.2 The Dilemma Of The Rural Impact Of Broadband 9.1.3 The Research Approach 9.2 An Input-Output Agent-Based Model 9.2.1 The Modeling Of Broadband Impacts 9.3 Results 9.4 Conclusions 10 Economic Impacts Of Lack Of Coordination In The Governance Of Public Policies 10.1 Introduction 10.2 The Challenge Of Vertical Coordination Among Layers Of Government 10.3 A Case Study On Public Policies In Italian Local Gover
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