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A NEW CONCEPT FOR TEACHING AI USING AS EXAMPLE CLASSICS FROM ELECTRONIC GAMES

机译:以电子游戏中的示例经典为例的AI教学新概念

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There is a problem related to the introduction of Artificial Intelligence in computing courses, where often the student cannot fully absorb its functioning and object of study. Therefore, this paper proposes a practical tool to demonstrate the operation of Artificial Intelligence, showing the machine learning through data mining and generation of decision trees applied in electronic game simulations that were inspired by the most established game styles (like platform, puzzle and racing games) in order to facilitate its understanding by the results obtained. For this purpose, adverse situations were built in which the characters of the games would be submitted.
机译:在计算机课程中引入人工智能存在一个问题,在该课程中,学生常常无法充分吸收其功能和学习对象。因此,本文提出了一种实用的工具来演示人工智能的操作,通过数据挖掘和决策树的生成来展示机器学习,这些决策树应用于电子游戏模拟中,灵感来自最成熟的游戏风格(例如平台,益智游戏和赛车游戏) ),以便通过所获得的结果促进对它的理解。为此,建立了不利的情况,在这些情况下将提交游戏的角色。

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