【2015新书】 Agent-based Models of the Economy: From Theories to Applications

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收藏 2015-08-08

【2015新书】 Agent-based Models of the Economy: From Theories to Applications

Book 图书名称： Agent-based Models of the Economy: From Theories to Applications
Author 作者：Riccardo Boero, Matteo Morini, Michele Sonnessa, Pietro Terna
Publisher 出版社： Palgrave Macmillan
Page 页数： 233
Publishing Date 出版时间： 2015
Language 语言： English
Size 大小：10 MB
Format 格式： pdf 文字版
ISBN:1137339802, 9781137339805
Edition: 第1版搜索过论坛，没有该文档

Agent-Based Models Of The Economy uses agent-based models for understanding a broad spectrum of economic phenomena.
This book aim is twofold. First, it introduces the reader to the methodology and to the technicalities and the tools necessary to master the creation of agent-based models. Second, it presents several examples of applications to different economic phenomena where agent-based models are crucial in answering the research question and in solving practical problems emerged in business and policy domains (e.g., financial markets, cooperation dynamics, public policy evaluation).
With this book, readers learn what agent-based models are and the advantages they can provide. Further, readers learn how to develop from scratch and with scientific rigor their own agent-based models for studying economic phenomena. Finally, readers find in the book several applications that can represent examples to be imitated and to be kept as reference.

== Table of contents ==
Table of contents :
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

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