Unified Cognitive Science

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Unified Cognitive Science Neurobiology Psychology Computer Science Linguistics Philosophy Social Sciences Experience Take all the Findings and Constraints Seriously

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Unified Cognitive Science. Neurobiology Psychology Computer Science Linguistics Philosophy Social Sciences Experience Take all the Findings and Constraints Seriously. What are schemas?. Regularities in our perceptual, motor and cognitive systems - PowerPoint PPT Presentation

Transcript of Unified Cognitive Science

Page 1: Unified Cognitive Science

Unified Cognitive Science

•Neurobiology•Psychology•Computer Science•Linguistics•Philosophy•Social Sciences•ExperienceTake all the Findings and Constraints Seriously

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What are schemas?

• Regularities in our perceptual, motor and cognitive systems

• Structure our experiences and interactions with the world.

• May be grounded in a specific cognitive system, but are not situation-specific in their application (can apply to many domains of experience)

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Basis of Image schemas

•Perceptual systems

•Motor routines

•Social Cognition

•Image Schema properties depend on

•Neural circuits

•Interactions with the world

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Image schemas•Trajector / Landmark (asymmetric)

•The bike is near the house •? The house is near the bike

•Boundary / Bounded Region

•a bounded region has a closed boundary•Topological Relations

•Separation, Contact, Overlap, Inclusion, Surround•Orientation

•Vertical (up/down), Horizontal (left/right, front/back)•Absolute (E, S, W, N)

LMTR

bounded region

boundary

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Similarity:

•Perceptual and motor systems

•Basic functional interactions with the world

•Environment

Variation:Cross-linguistic variation in how schemas are used.

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Cross-linguistic Variations

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English

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Japanese

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English

ON

AROUND

OVER IN

Bowerman & Pederson

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Dutch

Bowerman & Pederson

AAN

OM

BOVEN IN

OP

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Chinese

Bowerman & Pederson

SHANG

ZHOU

LI

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Spatial schemas•TR/LM relation

•Boundaries, bounded region

•Topological relations

•Orientational Axes

•Proximal/Distal

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Trajector/Landmark Schema•Roles:Trajector (TR) – object being located

Landmark (LM) – reference object

TR and LM may share a location (at)

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TR/LM -- asymmetry

•The cup is on the table

•?The table is under the cup.

•The skateboard is next to the post.

•?The post is next to the skateboard.

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Boundary Schema

Region ARegion B

Boundary

Roles:BoundaryRegion ARegion B

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Topological Relations

•Separation

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Topological Relations

•Separation

•Contact

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Topological Relations

•Separation

•Contact

•Coincidence:

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Topological Relations

•Separation

•Contact

•Coincidence:

- Overlap

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Topological Relations

•Separation

•Contact

•Coincidence:

-Overlap

-Inclusion

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Topological Relations

•Separation

•Contact

•Coincidence:

-Overlap

-Inclusion

-Encircle/surround

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Orientation•Vertical axis -- up/down

up

down

above

belowupright

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OrientationHorizontal plane – Two axes:

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Language and Frames of Reference•There seem to be three

prototypical frames of reference in language (Levinson)

•Intrinsic

•Relative

•Absolute

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Intrinsic frame of reference

frontback

right

left

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Relative frame of reference

frontback

left??

right??

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Absolute frame of reference

north

west

south

east

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TR/LM and Verticality Schemas

•The book is under the table.

up

down

under

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Proximal/Distal Schema

.

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Simple vs. Complex Schemas

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Container Schema•Roles:

•Interior: bounded region

•Exterior

•Boundary

C

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C C

TR

TR

out in

TR/LM + Container

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Container Schema Elaborated•Complexities –more

roles/specifications:•Boundary properties•Strength•Porosity•Portals

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Source-Path-GoalConstraints:

initial = TR at Source

central = TR on Path

final = TR at Goal

Source Path Goal

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SPG -- simple example

She drove from the store to the gas station.

TR = sheSource = the storeGoal = the gas station

Source Path Goal

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SPG and ContainerShe ran into the room.

SPG. Source ↔ Container.Exterior

SPG.Path ↔ Container.Portal

SPG. Goal ↔ Container.Interior

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PATH landmarks past across along

LM

LM

LM

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Part-Whole Schema

Part

Whole

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semantic schema Containerroles:

interiorexteriorportalboundary

Representing image schemas

Interior

Exterior

Boundary

PortalSource

Path

GoalTrajector

These are abstractions over sensorimotor experiences.

semantic schema Source-Path-Goalroles:

sourcepathgoaltrajector

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Language and Spatial Schemas• People say that they look up to some people, but

look down on others because those we deem worthy of respect are somehow “above” us, and those we deem unworthy are somehow “beneath” us.

• But why does respect run along a vertical axis (or any spatial axis, for that matter)? Much of our language is rich with such spatial talk.

• Concrete actions such as a push or a lift clearly imply a vertical or horizontal motion, but so too can more abstract concepts.

• Metaphors: Arguments can go “back and forth,” and hopes can get “too high.”

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Regier Model Lecture

Jerome A. FeldmanFebruary 27, 2007

With help from Matt Gedigian

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Neural Theory of Language

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Language Development in Children

•0-3 mo: prefers sounds in native language

•3-6 mo: imitation of vowel sounds only

•6-8 mo: babbling in consonant-vowel segments

•8-10 mo: word comprehension, starts to lose sensitivity to consonants outside native language

•12-13 mo: word production (naming)

•16-20 mo: word combinations, relational words (verbs, adj.)

•24-36 mo: grammaticization, inflectional morphology

•3 years – adulthood: vocab. growth, sentence-level grammar for discourse purposes

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Trajector/Landmark Schema

•Roles:Trajector (TR) – object being located

Landmark (LM) – reference object

TR and LM may share a location (at)

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TR/LM -- asymmetry

•The cup is on the table

•?The table is under the cup.

•The skateboard is next to the post.

•?The post is next to the skateboard.

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Language and Frames of Reference

•There seem to be three prototypical frames of reference in language (Levinson)

•Intrinsic

•Relative

•Absolute

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Basis of Image Schemas

•Perceptual systems

•Motor routines

•Social Cognition

•Image Schema properties depend on

•Neural circuits

•Interactions with the world

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Image schemas

•Trajector / Landmark (asymmetric)

•The bike is near the house •? The house is near the bike

•Boundary / Bounded Region

• bounded region has a closed boundary•Topological Relations

•Separation, Contact, Overlap, Inclusion, Surround•Orientation

•Vertical (up/down), Horizontal •Absolute (E, S, W, N)

LMTR

bounded region

boundary

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Spatial schemas•TR/LM relation

•Boundaries, bounded region

•Topological relations

•Orientational Axes

•Proximal/Distal

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Regier’s Model

•Training input: configuration of TR/LM and the correct spatial relation term

•Learned behavior: input TR/LM, output spatial relation

Learning System

above below left right in out on off

Input:TR

LMabove

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Issue #1: Implicit Negatives

• Children usually do not get explicit negatives

• But we won’t know when to stop generalizing if we don’t have negative evidence

• Yet spatial relation terms aren’t entirely mutually exclusive

• The same scene can often be described with two or more spatial relation terms (e.g. above and outside)

• How can we make the learning problem realistic yet learnable?

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Dealing with Implicit Negatives

• Explicit positive for above

• Implicit negatives for below, left, right, etc

• in Regier:

E = ½ ∑i,p (( ti,p – oi,p) * βi,p )2,

where i is the node, p is the pattern,

βi,p = 1 if explicit positive,

βi,p < 1 if implicit negative

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Learning

Systemdynamic relations(e.g. into)

structured connectionistnetwork (based on visual system)

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Topological Relations

•Separation

•Contact

•Coincidence:

-Overlap

-Inclusion

-Encircle/surround

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Issue #2: Shift Invariance

• Backprop cannot handle shift invariance (it cannot generalize from 0011, 0110 to 1100)

• But the cup is on the table whether you see it right in the center or from the corner of your eyes (i.e. in different areas of the retina map)

• What structure can we utilize to make the input shift-invariant?

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Limitations•Scale•Uniqueness/Plausibility•Grammar•Abstract Concepts•Inference•Representation

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Language and Thought

• We know thought (our cognitive processes) constrains the way we learn and use language

• Does language also influence thought?

• Benjamin Whorf argues yes

• Psycholinguistics experiments have shown that linguistics categories influence thinking even in non-linguistics task

Language

Thought

cognitive processes