Seeking open-ended evolution in swarm chemistry II: Analyzing long-term dynamics via automated object harvesting

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Pages59-66
Number of pages8
Publication statusPublished - 2020
Externally publishedYes
Event2018 Conference on Artificial Life: Beyond AI, ALIFE 2018 - Tokyo, Japan
Duration: 2018 Jul 232018 Jul 27

Conference

Conference2018 Conference on Artificial Life: Beyond AI, ALIFE 2018
CountryJapan
CityTokyo
Period18/7/2318/7/27

ASJC Scopus subject areas

  • Modelling and Simulation

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  • Cite this

    Sayama, H. (2020). Seeking open-ended evolution in swarm chemistry II: Analyzing long-term dynamics via automated object harvesting. 59-66. Paper presented at 2018 Conference on Artificial Life: Beyond AI, ALIFE 2018, Tokyo, Japan.