{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Science Tech Brief By HackerNoon","title":"The Results of Our Othello Experiment: How We Solved the Game","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/12a17bfd\"></iframe>","width":"100%","height":180,"duration":198,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-results-of-our-othello-experiment-how-we-solved-the-game.\n             We used a dataset including 61,549 game records played between 2001 and 2020. We selected 2,587 positions out of the 2,958,551 positions \n            Check more stories related to science at: https://hackernoon.com/c/science.\n            You can also check exclusive content about #computer-science, #game-theoretic-value, #solving-othello, #reversi-game, #alpha-beta-search, #what-is-alpha-beta-research, #edax-software, #othello-hypothesis,  and more.\n            \n            \n            This story was written by: @precedent. Learn more about this writer by checking @precedent's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                We used a dataset including 61,549 game records played between 2001 and 2020. We selected 2,587 positions out of the 2,958,551 positions and formulated hypotheses regarding their game-theoretic values. If all these hypotheses were proven correct, it would prove that the initial position results in a draw.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/S66fL9skYMhlajDauLWqBH_bXds_u8JsPbvAZlh45OA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjczLzE2ODM1/ODI0MjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}