From Knowing-How To Knowing-That: Acquiring Categories By Word of Mouth Stevan Harnad (UQAM & U. Southampton)

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Presentation transcript:

From Knowing-How To Knowing-That: Acquiring Categories By Word of Mouth Stevan Harnad (UQAM & U. Southampton)

Knowing-How vs. Knowing-That

Justified True Belief Gettier problems Chess vs. ‘schmess’ Goodman’s blue/grue Wittgenstein on implicit and explicit rule- following

The fact that we usually do not know (and hence we cannot say) what are the features that we use to categorize does not mean they do not exist! Biederman was able to find and teach novices the "geon" features and rules for chicken sexing through explicit instruction. They could then quickly sex chickens at a (green-belt) level that should have taken many long trials of supervised learning. Explicit Learning =+++…

Darwinian Grounding ‘biologizes’ our know-how 2+2=4

Language and Feeling Zombies Dennett’s ‘intentional stance’ being able to feel is a necessary condition for both believing and knowing

Cartesian Cognition 2+2=4 + the Cogito : I know I am feeling, if/when I feel. The rest of what we call ‘knowledge’ is not knowledge at all, but just sufficiently justified beliefs that are highly probably true.

Sufficiently Justified Beliefs categorical know-how

To Cognize is to Categorize: Cognition is Categorization We are sensorimotor systems who learn to sort and manipulate the world according to the kinds of things in it, and based on what sensorimotor features our brains can detect and use to do so.

Categorization is a systematic differential interaction between an autonomous, adaptive sensorimotor system and its world. What is Categorization? Doing the right thing with the right kind of thing

Living (and some nonliving) creatures are sensorimotor systems. The objects in the world come in contact with their sensory surfaces. That sensorimotor contact "affords” (Gibson’s term) some kinds of interaction and not others. Sensorimotor Systems

Acquiring Categories through Evolution versus Induction ‘Darwinian theft’ ‘honest toil’ detecting the features and rules that reliably distinguish the members of the category from the non-members the origin of language

Jerry Fodor thinks we were born with the capacity to categorize all the kinds of things we categorize without ever having to learn to do so. (Chomsky has a similar conjecture, but only about Universal Grammar [UG]). Big-Bang theory of the origin of categories Innate Categories Evolved categories

The categorization problem is to determine how our brains sort the "blooming, buzzing confusion" of our inputs The categorization problem is to determine how our brains sort the "blooming, buzzing confusion" of our inputs into the orderly categories we see and act upon. Learning Categories are kinds. Categorizing is taking place when the same output systematically keeps being produced with the same kind of input (rather than only with the exact same input). Categorization is closely tied to learning.

Evidence suggests that most of our categories are learned. Open a dictionary: you find mostly kinds of objects, events, states, features, actions. Were we born already knowing what are and are not in those categories, or did we have to learn it? Learned Categories

What a sensorimotor system is and is not able to do depends on what features can be extracted from its motor interactions with the “shadows” that objects cast on its sensory surfaces. How do we see the many different-sized and different-shaped shadows of things as being the same size, shape, and thing? Some features remain constant or invariant across sensorimotor variations or transformations. Our brains somehow manage to selectively “pick up” and use those invariant features (“affordances”). Size and Shape constancy Invariant Sensorimotor Features (“Affordances”)

If organisms can and do categorize inputs correctly, then it’s a safe bet that there must exist a sensorimotor basis for their success, picked up either through evolution, learning, or both. Direct Sensorimotor Invariants Tijsseling & Harnad 1997

But does it all have to be based on direct sensorimotor invariants? No, “goodness,” “truth” and “beauty” are links in an unbroken chain of abstraction leading from categories acquired through direct sensory experience to those acquired through "hearsay” (i.e. through language). Abstraction and Hearsay =+ “ ‘ZEBRA’ = HORSE + STRIPES ”

Acquiring Categories through Induction versus Instruction the origin of language

Simulating the Advent of Language

All categorization is abstraction. (Only Funes lives in the world of the concrete.) But people usually cannot tell you how they do categorize. What explicit knowledge we do have, however, we can convey to one another much more efficiently through hearsay than through trial-and-error experience. This is what gave language the powerful adaptive advantage that it had for our species. Hearsay: A New Way To Acquire Categories Cangelosi & Harnad 2002

The Triumph of Symbolic Theft Over Sensorimotor Toil

I could acquire most categories through hearsay but it can’t be hearsay all the way down. I still have to learn some things the the hard way, through direct sensorimotor grounding. If the words used in the explicit instruction are to mean anything to me, they have to name categories I already have. Sensorimotor Grounding “ ‘ZEBRA’ = HORSE + STRIPES ”

The Advent of Knowing-That knowing-that: the know-how to name categories and to combine those category names into propositions with truth values that describe and define still further categories

From Praxis to Propositions Via Pointing and Pantomime

Collaborative Cognition and the Category Commons

All of our categories are just ways we behave differently toward different kinds of things, whether things we do or don’t eat, mate with, or flee from, or things we describe, through our language, as prime numbers, affordances, or truth. And isn’t that what cognition is all about -- and for? Cognition is Categorization

Harnad, S. (2003) Categorical Perception. Encyclopedia of Cognitive Science. Nature Publishing Group. Macmillan. Harnad, S. (2003) Symbol-Grounding Problem. Encylopedia of Cognitive Science. Nature Publishing Group. Macmillan. References & Appendix