scientificarticle.page.titleprefix Development and validation of an agent-based simulation with a simple artificial intelligence for modeling evolutionary adaptation
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Date
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Lutsk: LNTU
Abstract
The paper is devoted to the development of an agent-based simulation with rule-based artificial intelligence agents to study evolutionary adaptation in a dynamic environment. The components of the model (genes, seasons, clans) are described and the results of a test run demonstrating its functionality are presented.
Description
Keywords
Agent-based modeling (ABM), evolution, genetic competition, adaptation, simulation, variable resources, seasonality, clans, artificial life, survival strategies
Citation
Krupskyi O., Prykhodko O. Development and validation of an agent-based simulation with a simple artificial intelligence for modeling evolutionary adaptation. Naukovi Notatky. 2025. № (81). P. 50–54. https://doi.org/10.36910/775.24153966.2025.81.7