| 格式化内容附注: | Machine generated contents note: -- 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 Governments -- 10.3.1 Research Questions And Methodology -- 10.3.2 An Agent-Based Model Of The Local Economy -- 10.3.3 The Coordination Dilemma -- 10.3.4 An Agent-Based Model Of Coordination -- 10.4 Results: Dynamics And Impacts Of Vertical Coordination -- 10.5 Conclusions -- 11 Equality And Fiscal Systems -- 11.1 Introduction -- 11.1.1 Tax System Optimization -- 11.1.2 Case In Point: Italy's Personal Income Tax -- 11.2 The Model -- 11.2.1 Introducing An Equity-Efficiency Trade-Off -- 11.2.2 Beyond A Static Micro-Simulation -- 11.2.3 Responsive Agents -- 11.2.4 Social-Local Effects: Interacting Agents -- 11.3 Optimization -- 11.3.1 The Static Model, Extended -- 11.3.2 Exploring The Solutions Space -- 11.4 The Dynamically-Optimized In-Equilibrium Scenario -- 11.5 Appendix -- 11.5.1 Model And Genetic Algorithm Parameters -- 12 The Emergence Of Cooperation -- 12.1 Introduction -- 12.2 The Model -- 12.2.1 Individual Heterogeneous Behaviour -- 12.2.2 Natural Selection -- 12.2.3 Interaction -- 12.3 Experimenting With Parameters -- 12.4 Appendix -- 12.4.1 Decision Tree -- Index. |