Young, Thomas J., and Kourosh Neshatian. “A constructive artificial chemistry to explore open-ended evolution.” In Australasian Joint Conference on Artificial Intelligence , pp. 228-233. Springer, Cham, 2013.
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We introduce a simple Artificial Chemistry to provide an open-ended representation for the exploration of artificial evolution. The chemistry includes an energy model based on the conservation of total kinetic and potential energy, and a constructive reaction model where possible reactions are discovered “on-the-fly”. The implementation is built on an existing open-source cheminformatics toolkit for performance and has a feature-set that prioritises the needs of Artificial Life over fidelity to real-world chemistry, unlike many existing artificial chemistries.