Xref: utzoo comp.ai:5525 sci.philosophy.tech:1913 Path: utzoo!utgpu!watserv1!watmath!iuvax!mailrus!uwm.edu!csd4.csd.uwm.edu!markh From: markh@csd4.csd.uwm.edu (Mark William Hopkins) Newsgroups: comp.ai,sci.philosophy.tech Subject: Re: more Chinese Room (woulda been: Is The Chinese Room Argument Consistent?) Message-ID: <1890@uwm.edu> Date: 14 Jan 90 03:06:22 GMT References: <2602@cunixc.cc.columbia.edu> <1527@skye.ed.ac.uk> <4921.25ad37f7@mva.cs.liv.ac.uk> Sender: news@uwm.edu Reply-To: markh@csd4.csd.uwm.edu (Mark William Hopkins) Followup-To: comp.ai Organization: University of Wisconsin-Milwaukee Lines: 43 In article <1527@skye.ed.ac.uk>, jeff@aiai.ed.ac.uk (Jeff Dalton) writes: > How would I ever know > that some Chinese symbol meant "tree", for example? In article <4921.25ad37f7@mva.cs.liv.ac.uk> ian@mva.cs.liv.ac.uk writes: >You could see how it fitted with other symbols, how certain symbols appeared >together, how certain rules treated it. You may not be able to say that you >would know what a *particular* symbol meant or which symbol meant *tree*, but >I am sure that you would eventually work out the meanings of *some* symbols. This is where I can expand on my viewpoint a little more. So I offer this answer: you'll know that *tree* means tree, because the rules for learning Chinese would have TOLD you to go outside, hug a tree (which you would presumably already know how to recognize) and say "tree" (in Chinese). The rule linking symbol to actual neural-motor (and pattern recognition routine) is a purely formal rule captured (perhaps) in a pushdown-transducer formalism (or why not in a Finite State machine formalism -- just add stack operations and other data structure operations in the augmentations). It links the term "tree" to a routine which process purely formal symbols that just happen to have been implemented in the architecture as actuator or sensory signals (but that would have no bearing on the fact that the intelligence is intelligent). Ultimately, you'll link "tree" to other meanings, some of which may already be one or more levels of indirection to actual signal processing routines. That is ... routines are first-class data structures in the underlying architecture, and form the building blocks of symbols. We can PROVE that the symbols we manipulate in our minds ARE meaningless if we were able to "cross the wires" that link neural signals to sensors and actuators -- so that willing yourself to move your arm would cause you to start walking. :) You'd breakdown in terrible confusion while you tried to retrain yourself to adapt to the changed connections -- yet you'd still be considered intelligent. The lesson to be learned from that is that meaningfulness of symbols has no bearing on intelligence. Your brain doesn't care what the symbols that correspond to signals do or where they come from -- i.e. it doesn't care what the symbols ultimately mean.