Výsledky vyhledávání - "Kazuaki Nakayama"

Akademický článek

Phase Transition in Ant Colony Optimization

Autor: Shintaro Mori, Shogo Nakamura, Kazuaki Nakayama, Masato Hisakado

Publikováno v: Physics, Vol 6, Iss 1, Pp 123-137 (2024)

Ant colony optimization (ACO) is a stochastic optimization algorithm inspired by the foraging behavior of ants. We investigate a simplified computational model of ACO, wherein ants sequentially engage in binary decision-making tasks, leaving pheromon

Externí odkaz: https://doaj.org/article/793ea009dc4847b986174636c0952cb3

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Akademický článek

Nash Equilibrium of Social-Learning Agents in a Restless Multiarmed Bandit Game

Autor: Kazuaki Nakayama, Masato Hisakado, Shintaro Mori

Publikováno v: Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)

Abstract We study a simple model for social-learning agents in a restless multiarmed bandit (rMAB). The bandit has one good arm that changes to a bad one with a certain probability. Each agent stochastically selects one of the two methods, random sea

Externí odkaz: https://doaj.org/article/9e250b018c12484b82a9e9fc551d2d65

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Pólya Urn with Memory Kernel and Asymptotic Behaviors of Autocorrelation Function

Autor: Shintaro Mori, Masato Hisakado, Kazuaki Nakayama

Publikováno v: Journal of the Physical Society of Japan. 90

P\'{o}lya urn is a stochastic process in which balls are randomly drawn from an urn of red and blue balls, and balls of the same color as the drawn balls are added. The probability of a ball of a certain color being drawn is equal to the percentage o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8692c12e4943c3cb386215162b63f107
https://doi.org/10.7566/jpsj.90.114010

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