智能技术：从中世纪到启蒙运动的机器学习

IF 4.3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2026-04-08 DOI:10.1177/08944393261441271

E. R. Truitt

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引用次数: 0

摘要

这篇引言概述了以下四篇关于人工智能悠久历史的文章的贡献。它们讨论了人工智能与欺骗之间的长期联系，人工智能提供的解放潜力，以及人类使用自动机和机器人来测试和断言人类极限的方式。总的来说，它们揭示了当代关于人工智能和机器学习的讨论中具有挑衅性和意想不到的连续性元素。

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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Intelligent Artifice: Machine Learning From the Middle Ages to the Enlightenment

This introduction outlines the contributions of the four following essays on the subject of the long history of artificial intelligence. They address the longstanding links between artificial intelligence and deception, the liberatory potential that AI offers, and the way that humans have used automata and robots to test and assert the limits of humanity. Taken together, they reveal provocative and unexpected elements of continuity with contemporary discussions about artificial intelligence and machine learning.

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.