A Study on Auto Play Model using DNN Model of Parallel Structure in Turn Based RPG
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AI shows performance on behalf of people in various fields. In games, AI is used in many ways. It is used in fields such as NPC (Non Player Character) production, game difficulty, and content creation. However, the AI used in the game shows excellent performance and is researched to beat people. When a good AI model exists in a game, increasing the difficulty of the game, the player may lose interest in the game. Therefore, the purpose of this paper is to develop artificial intelligence that supports people, not confrontation with people. Currently, there is an auto play system for games in the mobile market. In games, this system is not efficient because it uses a random method. Therefore, in this paper, we build an efficient auto play system using parallel DNN model. The newly constructed model and the existing random number model are compared through the game.
Abstract
AI shows performance on behalf of people in various fields. In games, AI is used in many ways. It is used in fields such as NPC (Non Player Character) production, game difficulty, and content creation. However, the AI used in the game shows excellent performance and is researched to beat people. When a good AI model exists in a game, increasing the difficulty of the game, the player may lose interest in the game. Therefore, the purpose of this paper is to develop artificial intelligence that supports people, not confrontation with people. Currently, there is an auto play system for games in the mobile market. In games, this system is not efficient because it uses a random method. Therefore, in this paper, we build an efficient auto play system using parallel DNN model. The newly constructed model and the existing random number model are compared through the game.
참고문헌 (11)
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