结合进化算法和基于案例推理的人工智能鸟类高质量射击策略学习

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI:10.1109/EAIS.2017.7954840

Suleyman Gemici, T. Gabel, Benjamin Loffler, A. Tharwat

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引用次数: 0

摘要

自适应和吸收新知识的能力是智能系统的两个基本特征。在本文中，我们利用进化优化和基于案例推理的方法来构建一个能够以这种方式进化的代理，它能够成功地掌握流行的电子游戏“愤怒的小鸟”。

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Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds

Self-adaptation and the ability to assimilate new knowledge are two fundamental characteristics of intelligent systems. In this paper we leverage methods from evolutionary optimization and from case-based reasoning to construct an agent that is able to evolve in such a way that it is able to successfully master the popular video game Angry Birds.

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2017 Evolving and Adaptive Intelligent Systems (EAIS)

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