Intro
Preface
Acknowledgements
Contents
About the Author
Chapter 1: Catastrophes and Agent-Based Models
1.1 Catastrophes
1.2 Discrete Events and Agent-Based Models
1.2.1 Discrete Events and DEVS
1.2.2 Some Software Tools
1.2.3 The Event Queue
1.2.4 Agent-Based Models
References
Chapter 2: BLUESSS Simulation Package
2.1 BLUESSS Concepts
2.2 BLUESSS Code, Program Structure
2.3 Inheritance
2.4 BLUESSS Code Generators, Continuous and Discrete Simulation Support
2.5 Variance Analysis
References

Chapter 3: Behavior Patterns of an Artificial Society
3.1 Introduction
3.2 Agent-Based Models
3.3 Simulation Tool
3.4 The Model
3.4.1 Process food
3.4.2 Process agent
3.4.2.1 Event moves
3.4.2.2 Event rwalk
3.4.2.3 Event foodseek
3.4.2.4 Event gregarious
3.4.2.5 Event attract
3.4.2.6 Event repro
3.4.2.7 Event dies
3.4.2.8 Event agres (aggression)
3.4.2.9 Event works
3.5 Simulations
3.5.1 Experiment 1
3.5.2 Experiment 2 (unexpected behavior)
3.5.3 Experiment 3-aggression
3.5.4 Experiment 4-Work
3.6 Conclusions
References

Chapter 4: Extended Prey-Predator Model
4.1 Introduction
4.2 Continuous Model
4.2.1 Simple Simulation
4.2.2 Uncertainty and Differential Inclusions
4.3 Agent-Based Simulation
4.3.1 General Remarks
4.3.2 Simulation Tool
4.4 The Model
4.4.1 Resources and Agent Types
4.4.2 Implementation, Processes, and Events
4.4.3 The Food Resource
4.4.4 Agents
4.4.5 Process Static
4.4.6 Process Control
4.5 Simulations
4.5.1 Basic Simulation Mode
4.5.2 Incoming Agents, Low System Isolation
4.5.3 Gregarious Effect
4.5.4 Group Forming-Simulation Mode 2

4.5.5 A Slow Catastrophe
Static Agents
Appendix-Model Data Specification
The Food Resource
Agents
Static Agents (SA) Mode
References
Chapter 5: Stock Market: Uncertainty and Catastrophes
5.1 Introduction
5.2 Continuous Model
5.2.1 Model Equations
5.2.2 Differential Inclusion Solver
5.2.3 The Reachable Set Example
5.3 Agent-Based Model
5.3.1 Processes and Events
5.3.1.1 Process Company
5.3.1.2 Process Agent
5.3.1.3 Event Buy
5.3.1.4 Process Brokers
5.3.1.5 Process monit
5.3.2 Other Elements
5.4 Simulation Tool: BLUESSS Implementation

5.5 The Simulations
5.5.1 Experiment 1
5.5.2 Experiment 2
5.5.3 Experiment 3
5.6 Final Remarks
References
Chapter 6: Epidemics
6.1 Introduction
6.2 Continuous Models
6.2.1 Susceptible-Infectious-Removed Models
6.2.2 Differential Inclusions and Uncertainty
6.2.3 Examples of Reachable Sets
6.3 Agent-Based Model
6.3.1 General Concepts
6.3.2 The Model
6.3.2.1 Agent Events
6.4 Simulations
6.4.1 Fast Propagation
6.4.2 Lower Trip Frequency
6.4.3 Near Cities
6.4.4 Long Epidemics-Adverse Conditions
6.5 Conclusion
References