Because mere calculating isn't thinking: Comments on Hauser's Why Isn't My Pocket Calculator a Thinking Thing?
Minds and Machines 3 (1):11-20 (1993)
| Abstract | This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers cannot understand natural language are discussed, and a prototype natural-language-understanding system is presented as an illustration. | |||||||||
| Keywords | Artificial Intelligence Causation Mind Puzzle Science Unity Hauser, L | |||||||||
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Similar books and articlesY. Wilks (1990). Form and Content in Semantics. Synthese 82 (3):329-51.
John Haugeland (1985). Artificial Intelligence: The Very Idea. Cambridge: Mit Press.
Larry Hauser (1995). Natural Language and Thought: Doing Without Mentalese. Behavior and Philosophy 23 (2):41-47.
B. Jack Copeland (1995). Artificial Intelligence: A Philosophical Introduction. Cambridge: Blackwell.
Barbara Abbott (1995). Thinking Without English. Behavior and Philosophy 23 (2):49 - 55.
Larry Hauser (1993). The Sense of Thinking. Minds and Machines 3 (1):21-29.
Larry Hauser, Chinese Room Argument. Internet Encyclopedia of Philosophy.
David J. Cole (1991). Artificial Intelligence and Personal Identity. Synthese 88 (September):399-417.
Larry Hauser (1993). Why Isn't My Pocket Calculator a Thinking Thing? Minds and Machines 3 (1):3-10.
William J. Rapaport (1988). Syntactic Semantics: Foundations of Computational Natural Language Understanding. In James H. Fetzer (ed.), Aspects of AI. Kluwer.
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