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Computer Science
System Modeling
System Modeling and Simulation
1. Introduction to System Modeling and Simulation
2. System Theory Fundamentals
3. Model Theory and Concepts
4. Simulation Fundamentals
5. The Simulation Study Methodology
6. Discrete-Event Simulation
7. Continuous Simulation
8. System Dynamics
9. Agent-Based Modeling
10. Monte Carlo Simulation
11. Hybrid and Multi-Paradigm Simulation
12. Input Modeling and Data Analysis
13. Random Number and Variate Generation
14. Model Verification and Validation
15. Output Analysis and Statistical Methods
16. Experimental Design for Simulation
17. Simulation Optimization
18. Advanced Simulation Topics
19. Simulation Software and Tools
20. Visualization and Animation
21. Applications and Case Studies
22. Professional Practice and Ethics
9.
Agent-Based Modeling
9.1.
Fundamental Concepts
9.1.1.
Agent Definition and Properties
9.1.2.
Agent Autonomy and Intelligence
9.1.3.
Agent Interactions
9.1.4.
Emergent Behavior
9.1.5.
Complex Adaptive Systems
9.2.
Agent Design
9.2.1.
Agent Attributes
9.2.2.
Agent Behaviors and Rules
9.2.3.
Decision Making Mechanisms
9.2.4.
Learning and Adaptation
9.2.5.
Agent Communication
9.3.
Environment Modeling
9.3.1.
Spatial Environments
9.3.2.
Network Environments
9.3.3.
Resource Environments
9.3.4.
Information Environments
9.4.
Interaction Mechanisms
9.4.1.
Direct Interactions
9.4.2.
Indirect Interactions
9.4.3.
Communication Protocols
9.4.4.
Coordination Mechanisms
9.5.
Model Implementation
9.5.1.
Agent Scheduling
9.5.2.
Environment Updates
9.5.3.
Data Collection
9.5.4.
Visualization
9.6.
Applications
9.6.1.
Social Systems
9.6.2.
Economic Markets
9.6.3.
Ecological Systems
9.6.4.
Organizational Behavior
9.6.5.
Urban Planning
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8. System Dynamics
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10. Monte Carlo Simulation