Modelling and implementing open-ended evolutionary systems

dc.contributor.authorChristen, Patrik
dc.date.accessioned2024-04-04T05:30:28Z
dc.date.available2024-04-04T05:30:28Z
dc.date.issued2021
dc.description.abstractHaving a model and being able to implement open-ended evo- lutionary systems is important for advancing our understanding of open-endedness. Complex systems science and newest generation high-level programming languages provide in-triguing possibilities to do so, respectively. Here, some recent advances in modelling and implementing open-ended evolutionary systems are reviewed first. Then, the so-called allag- matic method to describe, model, implement, and interpret complex systems is introduced. After highlighting some cur- rent 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 evo- lutionary systems and provides a promising starting point to interpret novelty generated at runtime.
dc.eventThe Fourth Workshop on Open-Ended Evolution (OEE4)
dc.event.end2021-07-22
dc.event.start2021-07-22
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43184
dc.language.isoen
dc.spatialOnline
dc.subject.ddc330 - Wirtschaft
dc.titleModelling and implementing open-ended evolutionary systems
dc.type06 - Präsentation
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of an abstract
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
relation.isAuthorOfPublicationd6fa5f05-5123-4d2f-8e74-79adfe54acc7
relation.isAuthorOfPublication.latestForDiscoveryd6fa5f05-5123-4d2f-8e74-79adfe54acc7
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