Xref: utzoo comp.ai:2696 talk.philosophy.misc:1612 Path: utzoo!attcan!uunet!convex!killer!osu-cis!tut.cis.ohio-state.edu!bloom-beacon!gatech!linus!mbunix!bwk From: bwk@mitre-bedford.ARPA (Barry W. Kort) Newsgroups: comp.ai,talk.philosophy.misc Subject: Re: Artificial Intelligence and Intelligence Summary: The limits of AI are the frontiers of AI. Keywords: Modal Logic, Intuitionist Logic, Model-Based Reasoning Message-ID: <42021@linus.UUCP> Date: 23 Nov 88 17:16:19 GMT References: <484@soleil.UUCP> <88Nov15.170837est.707@neat.ai.toronto.edu> Sender: news@linus.UUCP Reply-To: bwk@mbunix (Kort) Organization: The MITRE Corporation, Bedford, Mass. Lines: 24 I enjoyed reading Brad Brown's comments regarding Turing-computability and the limits of AI. It seems to me that one of the most powerful forms of human reasoning is reasoning by analogy, or model-based reasoning. We use models, metaphors, parables and analogies to transform problems from one domain to another, thereby borrowing ideas and translating them to novel situations. Reasoning by analogy requires pattern matching with respect to the structure of a knowledge base. We look at the shape of the semantic network or the shape of the tree and ask ourselves if we have encountered a similarly structured knowledge base before. Then, mutatis mutandis, we map out the analogy and fill in the missing pieces. Natural language is a powerful tool for suggesting metaphors. In mathematical circles, proof by analogy is emerging as an interesting research frontier. Saul Kripke has done seminal work in modal reasoning and intuitionist logic, which formalize these ideas. I wonder how the "limits of AI" argument will look after machines learn how to mimic human-style model-based reasoning. --Barry Kort