Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem

M. S. Zenin, A. P. Devyaterikov, A. Yu. Palyanov

Open source

DOI
10.18699/vjgb-25-110
Published
2025-12-12
Container
Vavilov Journal of Genetics and Breeding
Publisher
Institute of Cytology and Genetics, SB RAS
Open access
unknown

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BibTeX

@article{allodium:10.18699/vjgb-25-110,
  title = {Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem},
  author = {M. S. Zenin and A. P. Devyaterikov and A. Yu. Palyanov},
  year = {2025},
  journal = {Vavilov Journal of Genetics and Breeding},
  doi = {10.18699/vjgb-25-110},
  url = {https://doi.org/10.18699/vjgb-25-110}
}

RIS

TY  - JOUR
TI  - Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem
AU  - M. S. Zenin
AU  - A. P. Devyaterikov
AU  - A. Yu. Palyanov
PY  - 2025
JO  - Vavilov Journal of Genetics and Breeding
DO  - 10.18699/vjgb-25-110
UR  - https://doi.org/10.18699/vjgb-25-110
ER  - 

APA

Zenin, M. S., Devyaterikov, A. P., & Palyanov, A. Y. (2025). Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem. Vavilov Journal of Genetics and Breeding. https://doi.org/10.18699/vjgb-25-110

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