We studied the long-term dynamics of evolutionary Swarm Chemistry by extending the simulation length ten-fold compared to earlier work and by developing and using a new automated object harvesting method. Both macroscopic dynamics and microscopic object features were characterized and tracked using several measures. Results showed that the evolutionary dynamics tended to settle down into a stable state after the initial transient period, and that the extent of environmental perturbations also affected the evolutionary trends substantially. In the meantime, the automated harvesting method successfully produced a huge collection of spontaneously evolved objects, revealing the system's autonomous creativity at an unprecedented scale.
|出版ステータス||Published - 2020|
|イベント||2018 Conference on Artificial Life: Beyond AI, ALIFE 2018 - Tokyo, Japan|
継続期間: 2018 7 23 → 2018 7 27
|Conference||2018 Conference on Artificial Life: Beyond AI, ALIFE 2018|
|Period||18/7/23 → 18/7/27|
ASJC Scopus subject areas
- Modelling and Simulation