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首页> 外文会议>European Conference on Principles and Practice of Knowledge Discovery in Databases >Automatic Categorization of Human-Coded and Evolved Core War Warriors
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Automatic Categorization of Human-Coded and Evolved Core War Warriors

机译：自动分类人编码和进化的核心战争战士

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CoreWar is a computer simulation devised in the 1980s where programs loaded into a virtual memory array compete for control over the virtual machine. These programs are written in a special-purpose assembly language called Redcode and referred to as warriors. A great variety of environments and battle strategies have emerged over the years, leading to formation of different warrior types. This paper deals with the problem of automatic warrior categorization, presenting results of classification based on several approaches to warrior representation, and offering insight into ambiguities concerning the identification of strategic classes. Over 600 human-coded warriors were annotated, forming a training set for classification. Several major classifiers were used, SVMs proving to be the most reliable, reaching accuracy of 84 percent. Classification of an evolved warrior set using the trained classifiers was also conducted. The obtained results proved helpful in outlining the issues with both automatic and manual Redcode program categorization.
机译：CoreWar是在20世纪80年代设计的计算机仿真，其中加载到虚拟内存阵列中的程序竞争控制虚拟机。这些程序以特殊用途汇编语言编写，称为REDCODE，并称为勇士。多年来出现了各种各样的环境和战斗策略，导致形成不同的战士类型。本文涉及自动战士分类的问题，根据若干战士代表方法提出分类结果，并向歧视有关识别战略课程的歧视。超过600名人工编码的战士被注释，形成培训设置的分类。使用了几个主要分类器，SVMS证明是最可靠的，达到84％的准确性。还进行了使用训练有素的分类器进行演进战士组的分类。获得的结果证明有助于概述自动和手动redcode程序分类的问题。

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