塔防类电脑游戏人工智能创造的优化模型研究

2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T) Pub Date : 2020-10-06 DOI:10.1109/PICST51311.2020.9468057

Oksana Mazurova, Oleksandr Samantsov, Oleksandr Topchii, Mariya Shirokopetleva

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引用次数: 0

摘要

本工作致力于研究决策理论的优化模型，用于发展人工智能来控制塔防类游戏中的计算机策略。设计了将怪物分配到路径的优化问题和将塔分配到地图单元的优化问题的数学模型。提出了基于效用理论的多准则卷积模型。在实验的基础上，提出了在这类游戏中使用中高级人工智能的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Study of Optimization Models for Creation of Artificial Intelligence for the Computer Game in the Tower Defense Genre

The work is devoted to the study of optimization models of decision theory for the development of artificial intelligence to control the computer strategy in the game of the Tower Defense genre. Mathematical models of the optimization problem of assigning monsters to paths and the problem of assigning towers to map cells were designed. Multi-criteria convolutional model based on utility theory are proposed. Based on the conducted experiments, recommendations for the use of medium and advanced artificial intelligence in the game in this genre were made.

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2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T)

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