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semantic construction grammar

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how can NIPS help with deep reading

michael @witbrock
WHAT’S THE POINT OF CYC
3-Stage Research Program for AI
1. Slowly hand-code a very large and very broad
KB.
2. When enough...
CYC KNOWLEDGE BASE
Euro
isa
Education
Mathematics
Planet
Vehicles
Cat
Thing
Learning
Physics
Working
Driving
Human
Time Tr...
Thing
Intangible Individual
Thing
Sets
Relations

Space
Physical
Objects
Living
Things
Ecology
Natural
Geography
Political...
EVENT  TEMPORAL-THING  PARTIALLY-TANGIBLE-THING

Upper
Ontology

Core
Theories
Domain-Specific
Theories
Very specific in...
First Order
(isa AVPR2-Human-GIS GeneTypeBySpeciesAndProductFamily)
(gene-GISTypeCodesForType AVPR2-Human-GIS VasopressinV...
#$TransportationEvent
#$ControllingATransportationDevice
#$TransportWithMotorizedLandVehicle
(#$SteeringFn #$RoadVehicle)
...
Is it attached to the
inside of the outer object?
– Yes -- Try
#$connectedToInside

Can it be removed by pulling, if
enoug...


Does part of the inner object
stick out of the container?
◦ None of it.
#$in-ContCompletely
◦ Yes
#$in-ContPartially
◦ ...
NIPS TASK 3: LEARN TO
PRODUCE COHERENT NL
FROM REPRESENTATIONS

10

incyc.cyc.com
Semantic Construction Grammar
representational context: Cyc vocabulary and syntax
a sad realisation and an opportunity
logical representations good for inference are
sometimes very far from natural langua...
Renaissance Artists

Bronze Age Farmers

(SubcollectionOfWithRelationToFn
Artist activeDuringPeriod
TheRenaissance)
(Subco...
Attributive Adjective & Noun
(SubcollectionWithRelationToFn
Submarine
Yellow Submarine
mainColorOfObject
Yellow)
(Subcolle...
NIPS TASK 1 again

15
(StuffFn Mushroom-Broadly)
FeedingPromotingSomething

Acre

a man

Mushroom-Broadly

FeedingEvent

feeds

a

Pepperoni

do...
17
NIPS TASK 5: evaluate (subtype ?X ?Y) in detail
50 Generalisations:

75 Generalisations:

Agent-Underspecified BiologicalL...
110 Generalisations, including:

68 Generalisations, including:

AboveGround AerobicBLO AerobicOrganism Agent-Generic
Agen...
$EdibleStuff#0 and $EdibleStuff#1 pizza
Logic: (#$equalSymbols ?PIZZA
(#$PizzaFn (#$TheSet $EdibleStuff#1 $EdibleStuff#0) ...
a $IntelligentAgent#0 feeds a $Animal#1 $EdibleStuff#2
Logic: (#$equalSymbols ?EVT (#$CollectionSubsetFn #$FeedingEvent (#...
Vision for KB-based Protection
(implies
(and
(programSubsumesInstruction ?PROG ?ALLOC-CALL)
(codingFunctionInvoked ?ALLOC-...
Reading knowledge about a code pattern
Describes
weak code
Understood code description is directly
usable with SPICE analyzed binaries

26
Logical Description “knows” how to use the data

NIPS TASK 6: SUPPORT THIS
LEVEL (or more) OF INFERENCE
Part of read spec
...
Read description of weakness allows its ID in code
& human-understandable justification

28
Inference During Interpretation

Plausibility reasoning

29
9 Shades of Fail
Term interpretation fails lenient CycL truth test (“WFF”)
Arg required to be a collection but is not
Arg ...
Argument is probably bad since it conflicts with implicit
argument constraints via #$relationNotExistsExists,
#$relationAl...
Volume mismatch between types
Can horses jump?: by analogy with Tahoe bars.
(#$SubcollectionOfWithRelationToTypeFn
#$SawHo...
Plausibility: Flat sheets of paper
Sheets that are part of an apartment unit that are part of some paper
(#$sentencePlausi...
Plausibility: “Play chamber
music”
(#$SubcollectionOfWithRelationToTypeFn
#$PlayingAMusicalInstrument #$objectActedOn #$Ch...
35
•
•
•

•
•

Primacy of Semantics
Importance of mapping not to
“logical form”, but to logic
The frightening complexity of
h...
37
Cyc and Semantic Construction Grammar NIPS 2013 KET Workshop
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Cyc and Semantic Construction Grammar NIPS 2013 KET Workshop

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An introduction to Cyc for the neural/statistical learning audience, followed by a description of Semantic Construction Grammar, a knowledge extraction techniques that produces rich, inferentially productive representations of text. Included are six challenges to the NIPS audience from the point of view of logic-based AI

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  • The representation language of Cyc, and the inference engine that draws conclusions from the KB content and data, is sufficiently powerful to express and reason about biological processes. Some examples of the representation of biological objects, relations, and processes are given here.
  • These pages synthesised using natural language generation from an underlying logical representation.
  • Transcript of "Cyc and Semantic Construction Grammar NIPS 2013 KET Workshop"

    1. 1. semantic construction grammar + how can NIPS help with deep reading michael @witbrock
    2. 2. WHAT’S THE POINT OF CYC 3-Stage Research Program for AI 1. Slowly hand-code a very large and very broad KB. 2. When enough knowledge is present, the system should actively help with the KA process. It should be faster to acquire more from texts, databases, [websites], interactive dialogues, etc. 3. To go beyond the frontier of human knowledge, the system will have to rely on learning by discovery, to expand its KB domain by domain. (Doug Lenat)
    3. 3. CYC KNOWLEDGE BASE Euro isa Education Mathematics Planet Vehicles Cat Thing Learning Physics Working Driving Human Time Tree isa Hatred isa isa Cat isa Words Chemistry Nature Money Time located in Emotions Celestial Earth Euro Event Universe Body Stabbing someone Learning Animal Fear Event Vehicles Words subclass Food Euro Tree Physics Driving subclas School Learning Mathematics Rain Planet Vehicles Cat s Working LanguageEducation Driving Time Emotions EventHuman for a Going isa Love Rain Education Hatred Words walk Chemistry Fear Money Euro Emotions Earth Stabbing someone Hatred Going for a School Learning Fear Vehicles walk Food Education Driving Event Rain Stabbing someone Hatred Language Emotions Going for a Love Fear walk Nature Physics Death Tree School Death
    4. 4. Thing Intangible Individual Thing Sets Relations Space Physical Objects Living Things Ecology Natural Geography Political Geography Weather Earth & Solar System Human Beings Human Artifacts Human Anatomy & Physiology Partially Tangible Thing Time Events Scripts Artifacts Plans Goals Physical Agents Animals Mechanical Software Social Language Relations, & Electrical Literature Devices Works of Art Culture Organization Organizational Actions Organizational Plans Agent Organizations Social Behavior Agents Actors Actions Movement State Change Dynamics Plants Temporal Thing Logic Math Borders Geometry Emotion Human Products Conceptual Perception Behavior & Devices Works Belief Actions Vehicles Buildings Weapons Paths Spatial Paths Materials Parts Statics Life Forms Spatial Thing Social Activities Human Activities Business & Commerce Purchasing Shopping Types of Organizations Politics Warfare Sports Recreation Entertainment Transportation & Logistics Human Organizations Nations Governments Geo-Politics Professions Occupations Travel Communication Law Everyday Living Business, Military Organizations General Knowledge about Various Domains Specific data, facts, and observations Cycorp © 2006
    5. 5. EVENT  TEMPORAL-THING  PARTIALLY-TANGIBLE-THING Upper Ontology Core Theories Domain-Specific Theories Very specific information (some indirect, via SKSI) ( a, b ) a  EVENT  b  EVENT  causes( a, b )  precedes( a, b ) ( m, a ) m  MAMMAL  a  ANTHRAX  causes( exposed-to( m, a ), infected-by( m, a ) ) • (ist FtLaudHolyCrossERCase#403921 (caused CutaneousAnthrax (SkinLesions Ahmed_al-Haznawit))) First Order Predicate Calculus: unambiguous; enable mechanical reasoning Every NZr has a Queen. Every NZr has a mother. Higher Order Logic: contexts, predicates as variables, nested modals, reflection,… NZr(x)  ruler(x,y)&Queen(y) y.x. x.y. NZr(x)  mother(x,y)
    6. 6. First Order (isa AVPR2-Human-GIS GeneTypeBySpeciesAndProductFamily) (gene-GISTypeCodesForType AVPR2-Human-GIS VasopressinV2Receptor) With Context In Mt : VertebratePhysiologyMt (relationExistsAll outputsCreated IntramembranousBoneGrowthAndDevelopment FlatBone) Each vertebrate flat bone was created by intramembranous bone development. Rule In Mt: MolecularBiologyMt (implies (isa ?MOLECULE-TYPE TranscriptionFactor) (behaviorCapable ?MOLECULE-TYPE (ChemicalBindingEventTypeWithTypesFn TranscriptionFactor DNAMolecule) objectOfAttachment)) Transcription factors can bind with DNA. Exceptions (implies (and (isa ?MUT GeneticMutationEvent-Cellular) (locusOfCellularProcess-Cell ?MUT ?ANCESTOR) (isa ?ANCESTOR Cell) (subEvents ?REPRO ?MUT)) (abnormal (TheList ?REPRO ?PROGENY ?ANCESTOR) (implies(and (isa ?REPRO AsexualReproductionEvent) (outputsCreated ?REPRO ?PROGENY) (isa ?PROGENY BiologicalLivingObject) (doneBy ?REPRO ?ANCESTOR)) (geneticallyIdentical ?ANCESTOR ?PROGENY)))) NIPS TASK 1: DISTRIBUTED REP OF THIS Normally, the progeny of asexual reproduction are genetically identical to the parent; however, if the parent is a cell in which a mutation has occurred, this rule doesn’t apply.
    7. 7. #$TransportationEvent #$ControllingATransportationDevice #$TransportWithMotorizedLandVehicle (#$SteeringFn #$RoadVehicle) #$TransporterCrashEvent #$VehicleAccident #$CarAccident #$Colliding #$IncurringDamage #$TippingOver #$Navigating #$EnteringAVehicle …
    8. 8. Is it attached to the inside of the outer object? – Yes -- Try #$connectedToInside Can it be removed by pulling, if enough force is used, without damaging either object? – No -- Try #$in-Snugly or #$screwedIn Does the inner object stick into the outer object? –Yes – Try #$sticksInto Cycorp © 2007
    9. 9.  Does part of the inner object stick out of the container? ◦ None of it. #$in-ContCompletely ◦ Yes #$in-ContPartially ◦ No • #$in-ContClosed ◦ If the container were turned around could the contained object fall out? Yes #$in-ContOpen NIPS TASK 2: LEARN CONCEPTS THIS FINELY DISTINGUISED
    10. 10. NIPS TASK 3: LEARN TO PRODUCE COHERENT NL FROM REPRESENTATIONS 10 incyc.cyc.com
    11. 11. Semantic Construction Grammar representational context: Cyc vocabulary and syntax
    12. 12. a sad realisation and an opportunity logical representations good for inference are sometimes very far from natural language … in unpredictable ways … and they need to be right in ways NL does not So, syntactic mapping is (pretty much) hopeless BUT, storage is pretty much free, … and inference is getting there … and ILP works at least some of the time (EBMT ∩ FrameNet ∩ Cyc) ► SCG 12
    13. 13. Renaissance Artists Bronze Age Farmers (SubcollectionOfWithRelationToFn Artist activeDuringPeriod TheRenaissance) (SubcollectionOfWithRelationToFn Farmer activeDuringPeriod TheBronzeAge) Kind of TimeInterval Noun Form: not plural Kind of Agent-Generic Noun form
    14. 14. Attributive Adjective & Noun (SubcollectionWithRelationToFn Submarine Yellow Submarine mainColorOfObject Yellow) (SubcollectionWithRelationToFn Sick Child HumanChild stateOfHealth Sick) Supporting Lexical Assertions: (adjSemTrans Yellow-TheWord 0 RegularAdjFrame (mainColorOfObject :NOUN YellowColor)) (adjSemTrans Sick-TheWord 0 RegularAdjFrame (stateOfHealth :NOUN Sick))
    15. 15. NIPS TASK 1 again 15
    16. 16. (StuffFn Mushroom-Broadly) FeedingPromotingSomething Acre a man Mushroom-Broadly FeedingEvent feeds a Pepperoni dog AdultHumanMale Dog Man-TheProgram pepperoni EdibleMushroom and mushroom pizza HotDog Pizza ControllingSomething 16
    17. 17. 17
    18. 18. NIPS TASK 5: evaluate (subtype ?X ?Y) in detail 50 Generalisations: 75 Generalisations: Agent-Underspecified BiologicalLivingObject BoundaryUnderspecified EnduringThing-Localized Agent-Underspecified Artifact-Generic BiologicalLivingObject BoundaryUnderspecified BusinessRelatedThing Container-Underspecified ContainerIndependentShapedThing CulturalThing EdibleMushroom EukaryoticOrganism FiniteSpatialThing FixedFunctionalSystem FunctionalSystem Fungus FungusBLO Heterotroph Individual Landmark-Underspecified LocationUnderspecified Mushroom-Broadly NaturalTangibleStuff Opaque OrganicMaterial Organism-Whole PartiallyTangible PolyDimensionalThing PositiveDimensionalThing RegionUnderspecified SomethingExisting SpatialThing SpatialThingLocalized SpatialThing-NonSituational SpatiallyBoundedThing SpatiallyContinuousThing SurfaceRegion-Underspecified System TemporalThing TemporallyContinuousThing TemporallyExistingThing Thing ThreeDimensionalThing TrajectorUnderspecified TrueFungus (CollectionDifferenceFn SpatialThing Situation) (CollectionUnionFn (TheSet BiologicalLivingObject FictionalCharacter)) (CollectionUnionFn (TheSet BiologicalLivingObject (GroupFn BiologicalLivingObject))) (CollectionUnionFn (TheSet Fungus Bacterium)) (CollectionUnionFn (TheSet Organism-Whole Cell)) (CollectionUnionFn (TheSet SpatialThing VectorInterval)) (CollectionUnionFn (TheSet TemporalThing Collection)) (MeaningInSystemFn SENSUSInformation1997 "DECOMPOSABLE-OBJECT") Mushroom-Broadly EdibleStuff EnduringThing-Localized EukaryoticOrganism FiniteSpatialThing FixedFunctionalSystem Food FoodOrDrink FoodOrDrinkOrIngredient FunctionalSystem Fungus FungusBLO GroceryMarketCategory Heterotroph HumanScaleObject Individual Landmark-Underspecified Location-Underspecified MushroomBroadly NaturalTangibleStuff NonFluidlikeTangibleThing Opaque OrganicMaterial Organism-Whole PartiallyTangible PartiallyTangibleProduct PolyDimensionalThing PositiveDimensionalThing Product RegionUnderspecified SolidFood SolidTangibleThing SomethingExisting SpatialThing SpatialThing-Localized SpatialThing-NonSituational SpatiallyBoundedThing SpatiallyContinuousThing SurfaceRegionUnderspecified System TemporalThing TemporallyContinuousThing TemporallyExistingThing Thing ThreeDimensionalThing TrajectorUnderspecified TrueFungus (CollectionDifferenceFn SomethingExisting Organization) (CollectionDifferenceFn SpatialThing Situation) (CollectionUnionFn (TheSet Action Artifact-Generic PropositionalConceptualWork)) (CollectionUnionFn (TheSet BiologicalLivingObject FictionalCharacter)) (CollectionUnionFn (TheSet BiologicalLivingObject (GroupFn BiologicalLivingObject))) (CollectionUnionFn (TheSet DurableGood ServiceEvent Product)) (CollectionUnionFn (TheSet FirstOrderCollection Artifact-Generic)) (CollectionUnionFn (TheSet Fungus Bacterium)) (CollectionUnionFn (TheSet Organism-Whole Cell)) (CollectionUnionFn (TheSet SolidTangibleThing LiquidTangibleThing)) (CollectionUnionFn (TheSet SpatialThing VectorInterval)) (CollectionUnionFn (TheSet TemporalThing Collection)) (EdibleByFn HomoSapiens) (MeaningInSystemFn SENSUS-Information1997 "DECOMPOSABLE-OBJECT") (MeaningInSystemFn SENSUS-Information1997 "NONDECOMPOSABLE-OBJECT") (MeaningInSystemFn SENSUSInformation1997 "SEPARABLE-ENTITY") … EdibleMushroom 18
    19. 19. 110 Generalisations, including: 68 Generalisations, including: AboveGround AerobicBLO AerobicOrganism Agent-Generic Agent-NonArtifactual Agent-NonGeographical AgentPartiallyTangible Agent-Underspecified AirBreathingVertebrate Agent-Underspecified Artifact Artifact-Generic ArtifactNonAgentive Boundary-Underspecified BusinessRelatedThing Container-Underspecified ContainerIndependentShapedThing Animal Amniote AnimalBLO AxisymmetricObject BilateralObject BilaterallySymmetricObject BiologicalLivingObject Boundary-Underspecified CanineAnimal CanisGenus Carnivore CarnivoreOrder CellularTangibleThing ChordataPhylum Coelomate CompositeTangibleAndIntangibleObject ContainerUnderspecified ContainerIndependentShapedThing DiploidOrganism Diplont Dog DomesticatedAnimal EmbodiedAgent EnduringThing-Localized EukaryoticOrganism Eutheria FiniteSpatialThing FixedFunctionalSystem FrontAndBackSidedObject FunctionalSystem Heterotroph HexalateralObject Homeotherm HumanScaleObject Individual IndividualAgent Landmark-Underspecified LeftAndRightSidedObject Location-Underspecified Mammal MulticellularOrganism NaturalTangibleStuff NonFluidlikeTangibleThing NonHumanAnimal NonPersonAnimal Opaque OrganicMaterial Organism-Whole PartiallyIntangible PartiallyIntangibleIndividual PartiallyTangible PerceptualAgent PerceptualAgent-Embodied PolyDimensionalThing PositiveDimensionalThing Quadruped Region-Underspecified Sentient SentientAnimal SolidTangibleThing SomethingExisting SpatialThing SpatialThingLocalized SpatialThing-NonSituational SpatiallyBoundedThing SpatiallyContinuousThing SurfaceRegion-Underspecified System TameAnimal TemporalThing TemporallyContinuousThing TemporallyExistingThing TerrestrialFunctioningObject TerrestrialOrganism Thing ThreeDimensionalThing TopAndBottomSidedObject Trajector-Underspecified Vertebrate ViviparousAnimal … CulturalThing EdibleStuff EdibleStuffComposite EnduringThing-Localized FiniteSpatialThing Food FoodComposite FoodOrDrink FoodOrDrinkOrIngredient GroceryMarketCategory HotDog HumanScaleObject InanimateObject InanimateObject-NonNatural Individual InertArtifact Landmark-Underspecified Location-Underspecified NonFluidlikeTangibleThing NonNaturalThing Opaque OrganicMaterial PartiallyTangible PartiallyTangibleProduct PolyDimensionalThing PositiveDimensionalThing PreparedFood Product Region-Underspecified Sausage SolidFood SolidFoodArtifact SolidTangibleArtifact SolidTangibleThing SomethingExisting SpatialThing SpatialThing-Localized SpatialThing-NonSituational SurfaceRegion-Underspecified TemporalThing TemporallyExistingThing Thing ThreeDimensionalThing Trajector-Underspecified (CollectionDifferenceFn SomethingExisting Organization) (CollectionDifferenceFn SpatialThing Situation) (CollectionDifferenceFn TemporalThing BiologicalLivingObject) (CollectionUnionFn (TheSet Action Artifact-Generic PropositionalConceptualWork)) (CollectionUnionFn (TheSet DurableGood ServiceEvent Product)) (CollectionUnionFn (TheSet Event Artifact)) … Dog HotDog 19
    20. 20. $EdibleStuff#0 and $EdibleStuff#1 pizza Logic: (#$equalSymbols ?PIZZA (#$PizzaFn (#$TheSet $EdibleStuff#1 $EdibleStuff#0) )) Var: ?PIZZA Type: #$Pizza 20
    21. 21. a $IntelligentAgent#0 feeds a $Animal#1 $EdibleStuff#2 Logic: (#$equalSymbols ?EVT (#$CollectionSubsetFn #$FeedingEvent (#$TheSetOf ?EVENT (#$thereExists ?FEEDER (#$thereExists ?FED (#$thereExists ?FOOD (#$and (#$isa ?FOOD $EdibleStuff#2) (#$consumedObject ?EVENT ?FOOD) (#$isa ?FED $Animal#1) (#$recipientOfService ?EVENT ?FED) (#$isa ?FEEDER $IntelligentAgent#0) (#$providerOfService ?EVENT ?FEEDER)))))))) Var: ?EVT Type: #$FeedingEvent 21
    22. 22. Vision for KB-based Protection (implies (and (programSubsumesInstruction ?PROG ?ALLOC-CALL) (codingFunctionInvoked ?ALLOC-CALL ?ALLOC-FN) (isa ?ALLOC-FN MemoryAllocationFunction) (methodCallReturn ?ALLOC-CALL ?ALLOC-VAL) (candidateNullValueInputTo ?ALLOC-VAL ?ADD-OP) (programSubsumesInstruction ?PROG ?ADD-OP) (arithmeticFunctionOfOperation ?ADD-OP PlusFn) (oPHistOutputsToArgumentPosition ?ADD-OP ?ALLOC-VAL ?ARGN ?WRITE-OP) (programSubsumesInstruction ?PROG ?WRITE-OP) Induce high- (codingFunctionInvoked ?WRITE-OP ?WRITE-FN) (isa ?WRITE-FN DataLocationAlteringFunction) level (mutableArgumentPosition ?WRITE-FN ?ARGN)) heuristics (programHasPropensityForActionOfTypeDueToStatement ?PROG ?WRITE-OP OutOfRangePointerOffsetWrite)) high-level syntax heuristic Safely Execute Code Analysis DB Cyc KB and Inference low-level heuristic Connect data Specialize Use reading + KA to script „scripted‟ attack attack profile profiles
    23. 23. Reading knowledge about a code pattern
    24. 24. Describes weak code
    25. 25. Understood code description is directly usable with SPICE analyzed binaries 26
    26. 26. Logical Description “knows” how to use the data NIPS TASK 6: SUPPORT THIS LEVEL (or more) OF INFERENCE Part of read spec 27
    27. 27. Read description of weakness allows its ID in code & human-understandable justification 28
    28. 28. Inference During Interpretation Plausibility reasoning 29
    29. 29. 9 Shades of Fail Term interpretation fails lenient CycL truth test (“WFF”) Arg required to be a collection but is not Arg not an instance of all argument type constraints (strict) Arg provably disjoint with a constraint (collections) Arg is provably not-isa or not-genl a constraint (everything) Argument is probably bad since it conflicts with implicit argument constraints via #$relationNotExistsExists, #$relationAllExists, or #$someTypePlaysRoleInSituationType KB knowledge Volume mismatch between types using #$typicallyMoreVoluminousThan KB knowledge Esoteric Unlikely 30
    30. 30. Argument is probably bad since it conflicts with implicit argument constraints via #$relationNotExistsExists, #$relationAllExists, or #$someTypePlaysRoleInSituationType KB knowledge (#$SubcollectionOfWithRelationToTypeFn #$Fist #$properPhysicalParts #$EthnicGroupOfRussians) (relationAllExists #$Fist #$properPhysicalParts #$AnimalBodyPart) 31
    31. 31. Volume mismatch between types Can horses jump?: by analogy with Tahoe bars. (#$SubcollectionOfWithRelationToTypeFn #$SawHorse #$objectFoundInLocation #$Can) This interpretation is blocked if we can prove: (#$typicallyMoreVoluminousThan #$SawHorse #$Can) 32
    32. 32. Plausibility: Flat sheets of paper Sheets that are part of an apartment unit that are part of some paper (#$sentencePlausibilityScore (#$Quote (#$equalSymbols ?X (#$SubcollectionOfWithRelationFromTypeFn (#$SubcollectionOfWithRelationFromTypeFn #$BedSheet #$physicalParts #$ApartmentUnit) #$physicalParts #$Paper))) ?SCORE) in #$PlausibilityQueryMt → ?SCORE: (#$NumericLikelihoodFn 0.08) 33
    33. 33. Plausibility: “Play chamber music” (#$SubcollectionOfWithRelationToTypeFn #$PlayingAMusicalInstrument #$objectActedOn #$ChamberMusic) one can either call why-sentence-plausibility-factor: (why-sentence-plausibility-factor „(#$SubcollectionOfWithRelationToTypeFn #$PlayingAMusicalInstrument #$objectActedOn #$ChamberMusic)) → 0.06 (# # (:GENLS (#$genls #$PlayingAMusicalInstrument #$PhysicalEvent) #$PlausibilityQueryMt :TRUE-DEF) (:DISJOINTWITH (#$disjointWith #$MusicalInstrument #$ChamberMusicComposition) #$PlausibilityQueryMt :TRUE-DEF)) 34
    34. 34. 35
    35. 35. • • • • • Primacy of Semantics Importance of mapping not to “logical form”, but to logic The frightening complexity of human level knowledge Importance of doing inference during understanding The time is now/nigh for uniting the threads of AI end 36
    36. 36. 37
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