Understanding understanding: Syntactic semantics and computational cognition
Philosophical Perspectives 9:49-88 (1995)
| Abstract | John Searle once said: "The Chinese room shows what we knew all along: syntax by itself is not sufficient for semantics. (Does anyone actually deny this point, I mean straight out? Is anyone actually willing to say, straight out, that they think that syntax, in the sense of formal symbols, is really the same as semantic content, in the sense of meanings, thought contents, understanding, etc.?)." I say: "Yes". Stuart C. Shapiro has said: "Does that make any sense? Yes: Everything makes sense. The question is: What sense does it make?" This essay explores what sense it makes to say that syntax by itself is sufficient for semantics. | |||||||||
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Eric Dietrich (1989). Semantics and the Computational Paradigm in Computational Psychology. Synthese 79 (April):119-41.
William J. Rapaport (2006). How Helen Keller Used Syntactic Semantics to Escape From a Chinese Room. Minds and Machines 16 (4):381-436.
J. D. Trout (2002). Scientific Explanation and the Sense of Understanding. Philosophy of Science 69 (2):212-233.
William J. Rapaport (1986). Searle's Experiments with Thought. Philosophy of Science 53 (June):271-9.
William J. Rapaport (1988). Syntactic Semantics: Foundations of Computational Natural Language Understanding. In James H. Fetzer (ed.), Aspects of AI. Kluwer.
William J. Rapaport (2002). Holism, Conceptual-Role Semantics, and Syntactic Semantics. Minds and Machines 12 (1):3-59.
William J. Rapaport (2000). How to Pass a Turing Test. Journal of Logic, Language and Information 9 (4):467-490.
William J. Rapaport (2000). How to Pass a Turing Test: Syntactic Semantics, Natural-Language Understanding, and First-Person Cognition. Journal of Logic, Language, and Information 9 (4):467-490.
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