下一篇:图灵测试问题:对French的回答
Answering Subcognitive Turing Test Questions: A Reply to French
摘要:
罗伯特·弗伦奇(Robert French)认为,一台没有实体的计算机无法通过包括亚认知问题的图灵测试。亚认知问题旨在探索人类在生活、体现和嵌入世界时自然发展的文化和感知联想网络。在本文中,我将展示如何它是可能的一个无实体的计算机来回答亚认知问题,适当的,法国的主张相反。我回答潜认知问题的方法是使用从大量文本中提取的统计信息。特别是,我展示了如何有可能回答一个样本的subcognitive问题,从法国,发出查询的搜索引擎,索引约3.5亿网页。这个简单的算法可能揭示了人类(亚)认知的本质,但本文的范围仅限于证明法国是错误的:一个无实体的计算机可以回答亚认知问题。
英文摘要:
Robert French has argued that a disembodied computer is incapable of passing a Turing Test that includes subcognitive questions. Subcognitive questions are designed to probe the network of cultural and perceptual associations that humans naturally develop as we live, embodied and embedded in the world. In this paper, I show how it is possible for a disembodied computer to answer subcognitive questions appropriately, contrary to French's claim. My approach to answering subcognitive questions is to use statistical information extracted from a very large collection of text. In particular, I show how it is possible to answer a sample of subcognitive questions taken from French, by issuing queries to a search engine that indexes about 350 million Web pages. This simple algorithm may shed light on the nature of human (sub-) cognition, but the scope of this paper is limited to demonstrating that French is mistaken: a disembodied computer can answer subcognitive questions.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。