Data presented here is for 400 runs of the simulation. Each run is for the same network graph (figure 1), but a different random initial placement of agents. We carried out simulations for three different agent movement algorithms, and eight population sizes each. Preliminary results on partially-randomized agents are also summarized here.
| Pop. | Average | Average | |||||||
| Agent Type | Size | Finishing Time | Std. Dev. | Meetings/Step | Std. Dev. | ||||
| Random | 1 | 5314.81 | 3468.99 | - | - | ||||
| 2 | 3108.18 | 1801.54 | 0.0085 | 0.0035 | |||||
| 4 | 1670.12 | 1019.39 | 0.0521 | 0.0111 | |||||
| 7 | 1018.94 | 465.74 | 0.1848 | 0.0267 | |||||
| 10 | 737.41 | 416.09 | 0.3993 | 0.0460 | |||||
| 25 | 323.38 | 159.51 | 2.6614 | 0.1839 | |||||
| 50 | 167.86 | 68.79 | 10.8943 | 0.5157 | |||||
| 100 | 85.25 | 29.29 | 44.1069 | 1.2899 | |||||
| Conscientious | 1 | 479.63 | 101.43 | - | - | ||||
| 2 | 459.70 | 91.66 | 0.0082 | 0.0057 | |||||
| 4 | 404.51 | 81.25 | 0.0489 | 0.0164 | |||||
| 7 | 321.46 | 64.73 | 0.1717 | 0.0333 | |||||
| 10 | 270.50 | 55.02 | 0.3742 | 0.0513 | |||||
| 25 | 150.79 | 28.48 | 2.4997 | 0.1782 | |||||
| 50 | 94.33 | 15.17 | 10.3580 | 0.4648 | |||||
| 100 | 57.89 | 8.72 | 42.4973 | 1.2728 | |||||
| Superconsc. | 1 | 476.44 | 95.10 | - | - | ||||
| 2 | 425.62 | 98.32 | 0.0606 | 0.1115 | |||||
| 4 | 356.44 | 85.57 | 0.3812 | 0.3017 | |||||
| 7 | 288.91 | 64.60 | 1.3609 | 0.7144 | |||||
| 10 | 245.09 | 54.02 | 2.6783 | 1.2991 | |||||
| 25 | 154.93 | 32.84 | 14.7959 | 5.1667 | |||||
| 50 | 107.06 | 23.30 | 53.8820 | 17.4123 | |||||
| 100 | 74.00 | 15.33 | 191.7927 | 58.3752 | |||||
| Conscientious/ | |||||||||
| 20% Random | 100 | 61.19 | 10.75 | 42.6930 | 1.3199 | ||||
| Superconsc./ | |||||||||
| 20% Random | 100 | 56.61 | 8.86 | 79.2550 | 7.5048 |
