Minjae Kim, Department of Physics, Pukyong National University.

Minjae Kim, Department of Physics, Pukyong National University.

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[Asia Economy Yeongnam Reporting Headquarters Reporter Kim Yong-woo] The thesis of Minjae Kim, a doctoral student at Pukyong National University, has attracted attention by being published in a prestigious journal of the Royal Society of the United Kingdom.


Pukyong National University (President Jang Young-soo) announced on the 1st that the thesis of Minjae Kim, a doctoral student in the Department of Physics (advisor Professor Seung-ki Baek), was published in the latest issue of the Royal Society's major journal, Proceedings of the Royal Society B.


The Royal Society of the United Kingdom, founded in London in 1660, is one of the world's most prestigious academic societies.


Minjae Kim and Professor Seung-ki Baek, together with Professor Jung-gyu Choi from the Department of Economics at Kyungpook National University, published the paper titled “Win-Stay-Lose-Shift as a self-confirming equilibrium in the iterated Prisoner’s Dilemma” in the latest issue of this journal.


This paper is a study analyzing the effect of observational learning on individual decisions from the perspective of statistical inference when individual and group interests conflict.


The research team included the uncertainty of cultural transmission in their calculations instead of the existing implicit assumption that anyone can imitate others' decision-making processes if they want.


They mathematically demonstrated that even among rational actors, behavioral rules different from the simple survival of the fittest principle can be selected.


Professor Seung-ki Baek of Pukyong National University said, “As recently highlighted in the field of machine learning, it is urgently necessary to conceptualize learning as a physical process. This study presents such a theoretical framework and will provide implications for the mechanisms of human cooperation.”



Professor Baek’s research team is actively conducting interdisciplinary research encompassing physics, social sciences, and computational sciences.


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