Modelling and implementing open-ended evolutionary systems
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2021
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04B - Conference paper
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MIT Press
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Cambridge
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Abstract
Having a model and being able to implement open-ended evolutionary systems is important for advancing our understanding of open-endedness. Complex systems science and newest generation high-level programming languages provide intriguing possibilities to do so, respectively. Here, some recent advances in modelling and implementing open-ended evolutionary systems are reviewed first. Then, the so-called allagmatic method to describe, model, implement, and interpret complex systems is introduced. After highlighting some current modelling and implementation challenges, model building blocks of open-ended evolutionary systems are identified, a system metamodel of open-ended evolution is formalised in the allagmatic method, and an implementation prototype with a high-level programming language is outlined. The proposed approach shows statistical characteristics of open-ended evolutionary systems and provides a promising starting point to interpret novelty generated at runtime.
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330 - Wirtschaft
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2021 Conference on Artificial Life (ALIFE 2021). OEE4: The Fourth Workshop on Open-Ended Evolution
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English
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Yes
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Published
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Green
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CHRISTEN, Patrik, 2021. Modelling and implementing open-ended evolutionary systems. In: Jitka ČEJKOVÁ, Silvia HOLLER, Lisa SOROS und Olaf WITKOWSKI (Hrsg.), 2021 Conference on Artificial Life (ALIFE 2021). OEE4: The Fourth Workshop on Open-Ended Evolution. Cambridge: MIT Press. 2021. Verfügbar unter: https://doi.org/10.26041/fhnw-7146