Study of Evolution in Virtual Worlds

dc.contributor.authorBen Amar, Hassene
dc.contributor.authorOkubo, Masashi
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-08-01T18:28:46Z
dc.date.available2024-08-01T18:28:46Z
dc.date.issued2024
dc.description.abstract-translatedThis paper investigates the evolution of agents within a virtual world, focusing on DNA transfer between gener ations, identification of significant genes and the explorations of parameters influencing survival and gene signif icance. To address these questions, we create an artificial life simulation within Unreal Engine 5, which mirrors real-life characteristics and behaviors of animals. The methodology involves running a genetic algorithm with binary tournament, uniform crossover and n-point mutation and analyzing the collected data to determine the most significant genes in different cases. We demonstrate that parameters such as sensory capabilities, resource avail ability and mutation thresholds greatly influenced species’ survival and their success in the virtual environment. The difference of size, health and sight capabilities is crucial for the survival of deers and their interaction with the environment. In conclusion, this study offers an insight on evolution and evolution dynamics, denoting the influence of resource availability, competition between agents, mutation thresholds and sensory capabilities, with a substantial potential if time and resources were allocated to the research.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 381-390.en
dc.identifier.doihttps://doi.org/10.24132/CSRN.3401.42
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57413
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectvirtuální světycs
dc.subjectPredator-Prey problémcs
dc.subjectgenetický algoritmuscs
dc.subjectpočítačem generované simulacecs
dc.subject.translatedvirtual worldsen
dc.subject.translatedPredator-Prey problemen
dc.subject.translatedgenetic algorithmen
dc.subject.translatedcomputer generated simulationsen
dc.titleStudy of Evolution in Virtual Worldsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer revieweden
dc.type.versionpublishedVersionen

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