Artificial intelligence and other approaches to speech understanding: reflections on methodology

被引:2
|
作者
Ward, N [1 ]
机构
[1] Univ Tokyo, Fac Engn, Bunkyo Ku, Tokyo 1108656, Japan
关键词
research methodology; artificial intelligence; speech understanding; introspection;
D O I
10.1080/095281398146716
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper characterizes the methodology of Artificial Intelligence (AI) by looking at research in speech understanding, a field where AI approaches contrast starkly with the alternatives, particularly engineering approaches. Four values of AI stand out as influential: ambitious goals, introspective plausibility, computational elegance, and wide significance. The paper also discusses the utility and larger significance of these values.
引用
收藏
页码:487 / 493
页数:7
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