爱尔兰人工智能的进步和挑战

IF 0.4 Q3 HISTORY & PHILOSOPHY OF SCIENCE Metode Science Studies Journal Pub Date : 2018-11-20 DOI:10.7203/metode.9.11145
Ramon López de Mántaras
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引用次数: 1

摘要

本文包含了对人工智能(AI)的一些思考。首先,我区分了强AI和弱AI,以及与一般AI和特定AI相关的概念。接下来,我简要地描述了当前主要的人工智能模型,并讨论了为机器提供常识知识的必要性,以便向通用人工智能的目标迈进。接下来,我将讨论基于大量数据分析的人工智能的当前趋势,这使得专家们最近取得了惊人的进展。最后,我讨论了其他话题,这些话题在现在和未来都将继续成为人工智能的关键,然后简要回顾了人工智能的风险。
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Progressos, reptes i riscos de la Intel·ligència Artificial
This text contains some reflections on artificial intelligence (AI). First, I differentiate between strong and weak AI, as well as the concepts related to general and specific AI. Following this, I briefly describe the main current AI models and discuss the need to provide common-sense knowledge to machines in order to advance towards the goal of a general AI. Next, I talk about the current trends in AI based on the analysis of large amounts of data, which has recently allowed experts to make spectacular progress. Finally, I discuss other topics which, now and in the future, will continue to be key in AI, before closing with a brief reflection on the risks of AI.
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来源期刊
Metode Science Studies Journal
Metode Science Studies Journal HISTORY & PHILOSOPHY OF SCIENCE-
CiteScore
0.80
自引率
0.00%
发文量
18
审稿时长
19 weeks
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