The Evolution of Trading and Military Strategies: An Agent-Based Simulation 1 August 2003

1. This file contains the simulation figures from Rousseau and Cantor (2003). The remaining figures appear in the text of the paper. The Evolution of Trading and Military Strategies: An Agent-Based Simulation 1 August 2003 David L. Rousseau Assistant Professor Department of Political Science 235 Stiteler Hall University of Pennsylvania Philadelphia, PA 19104 E-mail: rousseau@sas.upenn.edu Phone: (215) 898-6187 Fax: (215) 573-2073 and Max Cantor Department of Political Science and the School of Engineering and Applied Science University of Pennsylvania Philadelphia, PA 19104 E-mail: mxcantor@sas.upenn.edu Paper prepared for the annual meeting of the American Political Science Association, August 28-31, 2003, Philadelphia, PA. Please send comments to the first author.

2. Figure 8: Output From The Baseline Model A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

3. Figure 10: H1: Increasing the Gains From Trade A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

4. Figure 11: H2: Offense Dominance A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

5. Figure 12: H3: Permitting Trade with Non-Neighbors A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

6. Figure 13: H5: Altering the Exit Payoffs 0.10 Exit Payoffs Baseline Model 0.90 Exit Payoffs Wars: Line Connections Trades: Line Connections Gene Prevalence Over Time Trade, War and Inequality Across Time Power Level Relative to Start

7. Figure 14: Absolute versus Relative Payoffs in the Trade Game Absolute Payoffs Relative Payoffs Wars: Line Connections Trades: Line Connections Gene Prevalence Over Time Trade, War and Inequality Across Time Power Level Relative to Start

8. Figure 15: Rapid Learning Representative Runs A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

9. Figure 16: Simultaneously Raise Trade Benefits and War Costs A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

10. Figure 17: Simultaneously Allow Rapid Learning, Increased Trade Benefits, & Increased War Costs A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time

11. Figure 18: Relative Gains, Rapid Learning, Increased Trade Benefits, & Increased War Costs A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black). B) Distribution of War shown by black lines connecting nodes. C) Distribution of Trade shown by green lines connecting nodes. D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites) F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time. G) Average Number of Wars, Trade, and Gini Coefficient Across Time