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The field of computer games is currently a popular research direction in the field of artificial intelligence, and has a pivotal position in the development and research of artificial intelligence. In the field of computer games, Connect6 is an emerging chess game, whose position complexity and research value are comparable to those of Go and Xiangqi. In the Connect6 game system, there are a large number of branching positions, and the traditional single-threaded search mechanism is time-consuming and laborious, which reduces the search efficiency of the game to a certain extent, so how to find the best positional moves quickly becomes an important factor affecting the strength of the Connect6 game. In this paper, by introducing the multi-threading mechanism in Connect6 intelligent confrontation system, assigning a thread to each branch position, utilizing the computer's multi-threaded parallel computing mechanism combined with a reasonable evaluation method will be able to quickly get the best move for the next move. Through experimental comparison, it can be obtained that in the field of Connect6 game, the multithreaded search mechanism is more efficient for the position search, and also has better game prediction, which can improve the search efficiency and reduce the search time of Connect6 game to a certain extent.
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Cao et al. (2024) studied this question.
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