摘 要
随着人工智能技术的快速发展，其在游戏开发领域的应用日益广泛。本研究旨在探讨人工智能技术在游戏开发中的创新应用模式及其对游戏体验的优化效果。通过文献分析、案例研究和实验验证相结合的方法，系统研究了智能NPC行为建模、自适应游戏难度调节、情感计算等关键技术。研究发现，基于深度强化学习的NPC行为决策系统可显著提升游戏角色的智能化水平；采用动态难度平衡算法能够有效维持玩家的沉浸感；结合情感识别技术的情感交互系统则增强了游戏的社交属性。研究创新性地提出了多模态融合的游戏AI框架，实现了游戏场景下自然语言处理与计算机视觉的协同应用。实验结果表明，该框架在提升游戏真实感和玩家参与度方面具有显著优势。本研究为人工智能技术在游戏产业中的深度应用提供了理论依据和实践指导，对推动游戏行业的智能化转型具有重要意义。
关键词：人工智能；游戏开发；智能NPC；自适应难度调节
RESEARCH ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN GAME DEVELOPMENT
ABSTRACT
With the rapid development of artificial intelligence technology, its application in the field of game development is increasingly extensive. The purpose of this study is to explore the innovative application mode of artificial intelligence technology in game development and its optimization effect on game experience. Through the method of literature analysis, case study and experimental verification, the key technologies such as intelligent NPC behavior modeling, adaptive game difficulty adjustment and emotion computing are systematically studied. It is found that the NPC behavior decision system based on deep reinforcement learning can significantly improve the intelligence level of game characters; Dynamic difficulty balancing algorithms can help keep players engaged; The emotional interaction system combined with emotion recognition technology enhances the social nature of games. The research innovatively proposes a multi-modal fusion game AI fr amework, which realizes the collaborative application of natural language processing and computer vision in the game scene. The experimental results show that the fr amework has significant advantages in enhancing game realism and player engagement. This study provides theoretical basis and practical guidance for the deep application of artificial intelligence technology in the game industry, and is of great significance for promoting the intelligent transformation of the game industry.
KEY WORDS：Artificial intelligence; Game development; Intelligent NPCS; Adaptive difficulty adjustment
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景及意义 1
1.2 人工智能在游戏开发中的研究现状 1
第2章 人工智能在游戏设计中的应用 2
2.1 游戏角色行为智能化设计 2
2.2 游戏环境动态生成技术 2
2.3 玩家体验个性化定制研究 3
第3章 人工智能在游戏测试中的应用 4
3.1 自动化测试系统的构建与应用 4
3.2 AI驱动的游戏平衡性测试方法 4
3.3 基于机器学习的bug检测技术 5
第4章 人工智能在游戏运营中的应用 6
4.1 玩家行为分析与预测模型 6
4.2 AI辅助的游戏内容更新策略 6
4.3 智能客服系统在游戏中的应用 7
第5章 结论 8
参考文献 9
致 谢 10
