Title:	Study of Evolution in Virtual Worlds
Authors:	Ben Amar, Hassene Okubo, Masashi
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 381-390.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57413
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	virtuální světy;Predator-Prey problém;genetický algoritmus;počítačem generované simulace
Keywords in different language:	virtual worlds;Predator-Prey problem;genetic algorithm;computer generated simulations
Abstract in different language:	This 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.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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