Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network (인공신경망으로 제어되는 포식자-피식자 개체군의공진화를 통한 안정성 시뮬레이션)

LeeTaeWoo (이태우); Soo Kyun Kim (김수균); Yoonsik Shim (심윤식)

doi:10.9708/jksci.2021.26.09.027

Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(9), pp.27-35
DOI : 10.9708/jksci.2021.26.09.027
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : August 4, 2021
Accepted : August 30, 2021
Published : September 30, 2021

LeeTaeWoo ¹, Soo Kyun Kim ², Yoonsik Shim ³

¹고려대학교
²제주대학교
³배재대학교

Accredited

ABSTRACT

Artificial life is used in various fields of applied science by evaluating natural life-related systems, their processes, and evolution. Research has been actively conducted to evolve physical body design and behavioral control strategies for the dynamic activities of these artificial life forms. However, since co-evolution of shapes and neural networks is difficult, artificial life with optimized movements has only one movement in one form and most do not consider the environmental conditions around it. In this paper, artificial life that co-evolve bodies and neural networks using predator-prey models have environmental adaptive movements. The predator-prey hierarchy is then extended to the top-level predator, medium predator, prey three stages to determine the stability of the simulation according to initial population density and correlate between body evolution and population dynamics.

KEYWORDS

Artificial Life, Predator-Prey, Artificial Neural Network, Simulation, Genetic Algorithm

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network

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KEYWORDS

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* References for papers published after 2023 are currently being built.