Computational Economics

6.

Agent-Based Modeling

6.1.

ABM Fundamentals

6.1.1.

Agent Definition and Properties

6.1.1.1.

Agent Attributes

6.1.1.2.

6.1.1.3.

Agent Behaviors

6.1.2.

Environment Modeling

6.1.2.1.

Spatial Environments

6.1.2.2.

Network Environments

6.1.2.3.

Resource Environments

6.1.3.

Interaction Mechanisms

6.1.3.1.

Direct Interactions

6.1.3.2.

Indirect Interactions

6.1.3.3.

Communication Protocols

6.2.

Model Design and Implementation

6.2.1.

Model Specification

6.2.1.1.

Objective Definition

6.2.1.2.

Agent Type Identification

6.2.1.3.

Rule Specification

6.2.2.

Initialization Procedures

6.2.2.1.

Initial Conditions

6.2.2.2.

Parameter Setting

6.2.2.3.

Random Initialization

6.2.3.

Scheduling Mechanisms

6.2.3.1.

Synchronous Updating

6.2.3.2.

Asynchronous Updating

6.2.3.3.

Event-Driven Scheduling

6.2.4.

Boundary Conditions

6.2.4.1.

Periodic Boundaries

6.2.4.2.

Reflecting Boundaries

6.2.4.3.

Absorbing Boundaries

6.3.

ABM Analysis and Validation

6.3.1.

Parameter Space Exploration

6.3.1.1.

Systematic Parameter Sweeps

6.3.1.2.

Latin Hypercube Sampling

6.3.1.3.

Sensitivity Analysis

6.3.2.

Model Validation

6.3.2.1.

6.3.2.2.

Empirical Validation

6.3.2.3.

Cross-Validation

6.3.3.

Robustness Testing

6.3.3.1.

Parameter Robustness

6.3.3.2.

Structural Robustness

6.3.3.3.

Behavioral Robustness

6.4.

Economic Applications of ABM

6.4.1.

Financial Markets

6.4.1.1.

Artificial Stock Markets

6.4.1.2.

Price Formation Mechanisms

6.4.1.3.

Market Volatility

6.4.1.4.

Bubbles and Crashes

6.4.2.

Macroeconomic Models

6.4.2.1.

Business Cycle Models

6.4.2.2.

6.4.2.3.

Labor Market Models

6.4.3.

Industrial Organization

6.4.3.1.

Market Competition

6.4.3.2.

Innovation Diffusion

6.4.3.3.

Supply Chain Networks

6.4.4.

Urban Economics

6.4.4.1.

Residential Location Choice

6.4.4.2.

Urban Segregation

6.4.4.3.

Transportation Networks

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