Artificial Intelligence and Other Approaches to Speech Understanding: Reflections on Methodology

Nigel Ward

Journal of Experimental and Theoretical Artificial Intelligence, 10, 487-493, 1998.

Abstract: This paper characterizes the methodology of Artificial Intelligence 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.

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