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A quick run through the model increasing the number of connections. |
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SummaryIn populations of GiftAgent, BarterAgent, ProfitSeekingBarterAgent and MoneyAgent, the code was run with increasing numbers of connection, in both locally and randomly connected social networks. DetailsUsed 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 ConclusionGift 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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