[Home]IncreasingConnections

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A quick run through the model increasing the number of connections.

Summary

In populations of GiftAgent, BarterAgent, ProfitSeekingBarterAgent and MoneyAgent, the code was run with increasing numbers of connection, in both locally and randomly connected social networks.

Details

Used Optimaes 1.02, with 4 resources, 30 agents. Results averaged over 100 runs.

Results

Agent Type Net Type Agents Arcs Res. Runs Steps Alive Surplus Production sDevs Mean
GiftAgent Local 30 3 4 100 10 7.710000 303.700000 527.100000 7.061208 9.889576
GiftAgent Local 30 6 4 100 10 12.696970 384.212121 805.121212 5.618239 7.584577
GiftAgent Local 30 9 4 100 10 14.010000 402.100000 880.600000 5.562663 7.223868
GiftAgent Local 30 12 4 100 10 15.850000 415.660000 968.160000 4.833630 6.591247
GiftAgent Local 30 15 4 100 10 17.460000 446.650000 1078.050000 4.712572 6.408819
GiftAgent Random 30 3 4 100 10 9.530000 332.740000 626.940000 6.449238 8.750250
GiftAgent Random 30 6 4 100 10 11.484848 341.363636 726.414141 5.588579 7.487318
GiftAgent Random 30 9 4 100 10 13.343434 374.353535 824.252525 5.165048 7.117884
GiftAgent Random 30 12 4 100 10 16.480000 425.810000 1004.810000 4.939961 6.516473
GiftAgent Random 30 15 4 100 10 15.640000 394.390000 952.290000 4.756035 6.352649

|Agent Type | Net Type | Agents | Arcs | Res. | Runs | Steps | Alive | Surplus | Production | sDevs | Mean |BarterAgent | Local | 30 | 3 | 4 | 100 | 10 | 6.110000 | 274.950000 | 438.850000 | 7.502790 | 11.176319 |BarterAgent | Local | 30 | 6 | 4 | 100 | 10 | 5.686869 | 254.101010 | 411.878788 | 7.447474 | 11.201897 |BarterAgent | Local | 30 | 9 | 4 | 100 | 10 | 5.838384 | 252.343434 | 407.393939 | 7.503487 | 10.796056 |BarterAgent | Local | 30 | 12 | 4 | 100 | 10 | 6.380000 | 284.330000 | 454.330000 | 7.415562 | 11.115942 |BarterAgent | Local | 30 | 15 | 4 | 100 | 10 | 6.580000 | 296.860000 | 470.860000 | 7.604870 | 11.232868 |BarterAgent | Random | 30 | 3 | 4 | 100 | 10 | 5.560000 | 242.140000 | 389.940000 | 7.288254 | 10.965821 |BarterAgent | Random | 30 | 6 | 4 | 100 | 10 | 6.275510 | 278.744898 | 450.377551 | 7.725060 | 11.014967 |BarterAgent | Random | 30 | 9 | 4 | 100 | 10 | 6.410000 | 283.280000 | 456.280000 | 7.701673 | 11.001144 |BarterAgent | Random | 30 | 12 | 4 | 100 | 10 | 6.760000 | 299.560000 | 488.760000 | 7.585220 | 11.117382 |BarterAgent | Random | 30 | 15 | 4 | 100 | 10 | 6.191919 | 272.616162 | 436.151515 | 7.457935 | 11.096374

|Agent Type | Net Type | Agents | Arcs | Res. | Runs | Steps | Alive | Surplus | Production | sDevs | Mean |ProfitSeekingBarterAgent | Local | 30 | 3 | 4 | 100 | 10 | 6.202020 | 276.737374 | 437.343434 | 7.559255 | 11.181782 |ProfitSeekingBarterAgent | Local | 30 | 6 | 4 | 100 | 10 | 6.313131 | 285.070707 | 449.616162 | 7.640452 | 11.267631 |ProfitSeekingBarterAgent | Local | 30 | 9 | 4 | 100 | 10 | 6.070707 | 268.262626 | 432.000000 | 7.626959 | 11.131173 |ProfitSeekingBarterAgent | Local | 30 | 12 | 4 | 100 | 10 | 6.010000 | 278.790000 | 434.090000 | 7.816471 | 11.565275 |ProfitSeekingBarterAgent | Local | 30 | 15 | 4 | 100 | 10 | 5.990000 | 263.910000 | 423.810000 | 7.415522 | 10.929223 |ProfitSeekingBarterAgent | Random | 30 | 3 | 4 | 100 | 10 | 5.710000 | 251.570000 | 404.470000 | 7.389512 | 10.988393 |ProfitSeekingBarterAgent | Random | 30 | 6 | 4 | 100 | 10 | 5.878788 | 256.737374 | 416.535354 | 7.581857 | 10.880284 |ProfitSeekingBarterAgent | Random | 30 | 9 | 4 | 100 | 10 | 5.780000 | 259.130000 | 411.530000 | 7.579971 | 11.300760 |ProfitSeekingBarterAgent | Random | 30 | 12 | 4 | 100 | 10 | 5.824742 | 263.701031 | 425.350515 | 7.575228 | 11.385213 |ProfitSeekingBarterAgent | Random | 30 | 15 | 4 | 100 | 10 | 6.150000 | 277.460000 | 437.560000 | 7.611709 | 11.279588

|Agent Type | Net Type | Agents | Arcs | Res. | Runs | Steps | Alive | Surplus | Production | sDevs | Mean |MoneyAgent | Local | 30 | 3 | 4 | 100 | 10 | 6.224490 | 276.367347 | 443.816327 | 7.542502 | 10.987289 |MoneyAgent | Local | 30 | 6 | 4 | 100 | 10 | 7.181818 | 292.525253 | 490.202020 | 6.708796 | 10.095621 |MoneyAgent | Local | 30 | 9 | 4 | 100 | 10 | 7.618557 | 291.329897 | 500.608247 | 6.592947 | 9.581968 |MoneyAgent | Local | 30 | 12 | 4 | 100 | 10 | 8.960000 | 323.180000 | 582.280000 | 6.199362 | 9.078804 |MoneyAgent | Local | 30 | 15 | 4 | 100 | 10 | 9.730000 | 340.090000 | 625.390000 | 5.925523 | 8.744505 |MoneyAgent | Random | 30 | 3 | 4 | 100 | 10 | 6.390000 | 273.730000 | 451.230000 | 7.138206 | 10.628590 |MoneyAgent | Random | 30 | 6 | 4 | 100 | 10 | 7.515152 | 298.454545 | 510.373737 | 6.825804 | 10.004340 |MoneyAgent | Random | 30 | 9 | 4 | 100 | 10 | 7.590000 | 288.320000 | 502.220000 | 6.340775 | 9.469562 |MoneyAgent | Random | 30 | 12 | 4 | 100 | 10 | 8.878788 | 325.787879 | 585.282828 | 6.197794 | 9.216011 |MoneyAgent | Random | 30 | 15 | 4 | 100 | 10 | 9.430000 | 340.100000 | 613.700000 | 6.040663 | 8.973902

Conclusion

Gift and Money agents both show improvements from increased numbers of social connections. No obvious trend for Barter agents, and Profit seeking barter seems to be worse off with more connections. Maybe the population is still too small for real effects of barter and profit seeking in barter to appear.

Don't quite trust this Barter result so any suggestions are welcome ...


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Last edited December 8, 2004 9:04 pm by RichardP (diff)
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