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C REC  PAGE   DESCRIPTION
C00001 00001
C00002 00002	.NSECP(AM's Knowledge: Concepts and Heuristics)
C00004 00003
C00008 00004	.SSEC(Representation of Concepts)
C00009 00005	.SSEC(Heuristic Guidance)
C00010 ENDMK
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.NSECP(AM's Knowledge: Concepts and Heuristics)

.ONCE TURN ON "{}"

This chapter contains more than you want  to know about AM's innards.
After  a  brief   overview,  we'll  look  at  the  way  concepts  are
represented {SECNUM}.2 and the whole  business about "heuristic  rules".
Section {SECNUM}.4 presents a condensed version of the knowledge AM starts
with.

Chapter 5 gives several examples illustrating not only AM's control structure,
butalso the changes in its state of knowledge at various moments.
The theoretical  issues discussed in chapters 3-5
will probably raise as many questions as they
answer (e.g., "how can one  judge the performance of a  program  like
AM?"). The whole of Chapter 6 will be spent answering some of these.

.SSEC(Representation of Concepts)

How shall a concept be represented internally? 

.B

	Every concept consists merely of a bundle of facets.
	Describe the idea of a fixed universal set of facets.
	Illustrate the particular set of facets with a typical concept (composition)
	Some particular points not to omit:
		The interestingness facet; the worth facet.
		The linked nature of the generalizations/specializations facets.
		The linked nature of the examples/up-isa facets.
		Equations which show how to efficiently locate desirable things:
			EXS(z) = ((z . SPEC*) . EXS) . SPEC*

.E

.SSEC(Heuristic Guidance)
	
What about the heuristics?

.B

	Elicited in the context of a specific concept, so keep them tacked onto
		that concept, as if they were normal facets.
	Assumes a linearity which may not really be there! Alternative is to
		maintain 2↑n bundles of heuristics, and this is untenable.
	Represented as situation-action rules. Describe left/right sides; exs.

.E