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> The point, and the lesson I take from Cantwell Smith’s book, is that we can navigate these contradictions because we understand that our ideas are imperfect. > One of the reasons Cantwell Smith believes that our oversimplified assumptions about ontology can explain the failure of the symbolic logic employed by what’s sometimes called Good Old-Fashioned AI, or GOFAI, is that more recent, and more successful, approaches to AI don’t depend on this kind of symbolic reasoning. This puts forth a false dichotomy. The fact that classical first order logic assumes the rules are perfect does not invalidate all symbolic approaches. There are several types of modal logic that can be used to manage the idea of imperfect rules and imperfect, or subjective, knowledge about the world, even before starting with fuzzy or probabilistic logic. In general, everything that can be talked about by humans, in principle, should be considered at the reach of symbolic approaches. That’s tautological, I know, but people seemingly have difficulties seeing the forest for the trees, as they restrict their mental model of symbolic logic to a 70s brand of prolog / Horn clause based predicate logic. |