7. Semantic LTM

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45 Terms

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Semantic memory

_______________ - Our permanent memory store of general world knowledge. All about MEANING

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Loftus & Palmer

_________________- Showed people car accidents and asked:

How fast were the cars going when they ____ each other?

  • Follow-up question: Was there broken glass?

    • Smashed: 30% yes

    • Contacted 10% yes

<p>_________________- <span><strong>Showed people car accidents and asked:</strong></span></p><p><span><strong>How fast were the cars going when they ____ each other?</strong></span></p><ul><li><p><span>Follow-up question: Was there broken glass?</span></p><ul><li><p><span>Smashed: 30% yes</span></p></li><li><p><span>Contacted 10% yes</span></p></li></ul></li></ul><p></p>
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Network model of semantic memory

The Collins & Quillian Model

  • Network

  • Node

  • Pathways

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Network

The Collins & Quillian Model/Network model of semantic memory

_________________ - An interrelated set of concepts/ body of knowledge

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Node

The Collins & Quillian Model/Network model of semantic memory

_______________ - A point of location in the network representing a single concept

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Pathways

The Collins & Quillian Model/Network model of semantic memory

________________ - Labeled directional associations between concepts

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Spreading activation

_________________ - The mental activity of accessing and retrieving information from the network

  • Takes passive concepts and activates them

  • Activation then spreads to related nodes

    • e.g., activation of the “planet” node would also spread to the “earth” node or the “moon” node

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Sample of the Semantic Network

A) The word “robin” is activated

<p>A) The word “robin” is activated</p>
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Propositions

________________ - Express a relationship between two concepts

  • Examples:

    • A robin has wings

    • An apple is a fruit

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Pathways + propositions

__________ + _________ - Pathways connect two nodes together to form propositions

  • “ISA” pathways express category membership

    • E.g., a robin is a bird

  • Property pathways express properties that concepts possess

    • E.g., A robin has the property of wings

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Intersection search

_____________ - Two concepts can be activated, each with spreading activation to related nodes(spreading activation) — the two spreads of activation eventually collide—and intersection—which lets you answer: True, a robin is an animal.

  • True of False: A robin is an animal?

  • Activation lights the robin node, and then spreads to its neighbors

    • `E.g., bird, blue eggs, red breast

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Semantic relatedness

________________ - The distance between two nodes in a network is determined by ______

  • Concepts close in meaning/highly related (e.g., doctor and nurse) are stored close together in memory

  • Unrelated concepts (e.g., doctor and truck) are stored far away

<p>________________ <strong>- The distance between two nodes in a network is determined by ______</strong></p><ul><li><p>Concepts<em> close in meaning/highly related </em>(e.g., doctor and nurse) are <strong>stored close </strong>together in memory</p></li><li><p><em>Unrelated </em>concepts (e.g., doctor and truck) are <strong>stored far away</strong></p></li></ul><p></p>
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Smith’s Feature Comparison Model

______________ - Semantic memory is a collection of lists

  • Feature Lists

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Feature lists

Smith’s Feature Comparison Model

_______________ - Contain semantic features (simple, one element characteristics) of each concept stored in memory

…have a much simpler structure than network models

  • They are more parsimonious (Occam's razor) — easiest explanation is prolly the right one

<p>Smith’s Feature Comparison Model</p><p>_______________ - <strong>Contain semantic features (simple, one element characteristics) of each concept stored in memory</strong></p><p>…have a much simpler structure than network models</p><ul><li><p>They are more parsimonious (<strong>Occam's razor) — easiest explanation is prolly the right one</strong></p></li></ul><p></p>
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Defining features

Feature lists

_______________ - Features absolutely essential to the concept

  • Robins must be physical objects, have red breasts and feathers

Defining features appear at the top of each feature list

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Characteristic features

Feature lists

_____________ - Features that are common but not essential to the meaning of a concept

  • E.g., A robin perches in trees

Characteristic features appear at the bottom of each feature list

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Feature comparison

________________ - The major process of information retrieval in the feature list model is this

Mind makes heuristic comparisons

  • True or false: A robin is a bird?

To answer, first access each feature list from memory

  1. Stage 1: Comparison is fast and involves a global comparison of how much the features in each list overlap

Second, compare each list for common features (feature overlap

  1. Stage 2: Comparison is slow, occurring only when the lists have an intermediate amount of overlap

    1. Stage 2 involves only the defining features of each list

<p>________________ - The major process of information <strong><em>retrieval</em></strong> in the feature list model is <strong><em>this</em></strong></p><p><strong>Mind makes heuristic comparisons</strong></p><ul><li><p>True or false: A robin is a bird?</p></li></ul><p>To answer, first access each feature list from memory</p><ol><li><p><strong><u>Stage 1:</u> Comparison is fast and involves a global comparison of how much the features in each list overlap</strong></p></li></ol><p>Second, compare each list for common features (feature overlap</p><ol start="2"><li><p><strong><u>Stage 2:</u> Comparison is slow, occurring only when the lists have an intermediate amount of overlap</strong></p><ol><li><p>Stage 2 involves only the defining features of each list</p></li></ol></li></ol><p></p>
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Problems w/ feature comparison

Feature lists → Feature comparisons

_______________- No objective way to define a feature as a defining or characteristic feature

  • Does not account for fuzzy boundaries

    • Many items in a category do not share a defining feature

      • E.g., are bookends pieces of furniture?

    • How many features of a bird can you lose and still have a bird?

Limited feature lists

  • Why would the robin list contain every important concept about robins except that a robin is a bird?

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Empirical tests of the network model

_______________ - Used the Sentence Verification Task

  • True or False, an x is a y?

    • E.g., True or false, a robin is a bird?

  • Response Time is measured

Collins & Quillian (1969) Key Prediction:

  • Two concepts that are closer in the network should take less time to verify than two that are farther apart.

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Collins & Quillian

Empirical tests of the network model

_________________ (1969) - proposed semantic memory formed hierarchical associations between different categories of knowledge.

Good initial results, but the results of other research indicated problems with the idea

<p>Empirical tests of the network model</p><p>_________________ (1969) - <span>proposed </span><strong>semantic memory formed hierarchical associations between different categories of knowledge.</strong></p><p><span>Good initial results, but the results of other research indicated problems with the idea</span></p>
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Semantic relatedness and concepts

Semanticity

________________ - Concepts that are more highly interrelated are retrieved faster— organized around meaning

  • Ex: Name the 12 months of the year

  • Now, name them in alphabetical order

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Typicality effects

Typicality

_______________ - Some members of a category are more typical – more representative – than others.

More typical members of a category are judged faster than are less typical ones.

  • “A robin is a bird” is verified faster than is “a chicken is a bird”

  • Models:

    • The Feature Comparison Model was built to explain typicality effects

    • Adding semantic relatedness to the network model allows it to explain typicality effects

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Cognitive economy

_______________ - The incorrect notion from the original network model that redundant information is NOT stored in semantic memory

Redundant Information is stored in memory

  • E.g., Breathes appears under the animal node and under the robin node, under the human node, etc.

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The Revised Network Model

knowt flashcard image
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Schema

______________ - mental framework or body of knowledge about some topic

  • Example: Bartlett’s “War of the Ghosts” study

    • When a child is young, they may develop a schema for a dog. They know a dog walks on four legs, is hairy, and has a tail.

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Categorization

________________ - Combining entities (information, objects, people, events, etc.) into meaningful units, or categories, is critical for semantic memory

  • Organization

  • This help us quickly make sense of the world

  • Categorization can have drawbacks

    • E.g., Stereotypes

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Classic view of categorization

Categorization

_________________ - People create and use categories based on a system of rules

  • If something satisfies a set of rules, then it is a member of the category

    • Necessary features: if not present, not a member of category

    • Sufficient features: Nothing more is needed to satisfy category membership

  • Arranged according to scientific taxonomies

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Graded membership

Characteristics of human categories

_______________ - Categories are loose and fuzzy

  • Some members of categories are “better” members  than others

  • •E.g., eagle is a “better” bird than ostrich

<p>Characteristics of human categories</p><p>_______________ -<strong> </strong><span><strong>Categories are loose and fuzzy</strong></span></p><ul><li><p><span><strong>Some members of categories are “better” members&nbsp; than others</strong></span></p></li><li><p><span>•E.g., eagle is a “better” bird than ostrich</span></p></li></ul><p></p>
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Central tendency

Characteristics of human categories

______________ - there is some mental core or center to the the category where the best members are found

  • Typicality

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Typicality

Characteristics of human categories → central tendency

_____________ - the degree to which items are viewed as typical, central members of a category

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Prototype theory

Prototypes and exemplars

_______________- the central or core instance of a category

  • The prototypical bird may not even exist in the real world

Compare new entities to established prototypes —Allows for graded membership

  • Limitations:

    • No information about variability of members

    • No information about category size

<p>Prototypes and exemplars</p><p>_______________- <strong>the central or core instance of a category</strong></p><ul><li><p>The prototypical bird may not even exist in the real world</p></li></ul><p><strong>Compare new entities to established prototypes —Allows for graded membership</strong></p><ul><li><p>Limitations:</p><ul><li><p>No information about variability of members</p></li><li><p>No information about category size</p></li></ul></li></ul><p></p>
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Exemplar theory

Prototypes + exemplars

_______________ - People mentally take into account each experience, instance or example, of the encounters they have had with members of that category

  • We store exemplars in our memory

    • Judge new information by its resemblance to the stored exemplars

<p>Prototypes + exemplars</p><p>_______________ - <strong>People mentally take into account each experience, instance or example, of the encounters they have had with members of that category</strong></p><ul><li><p>We store exemplars in our memory</p><ul><li><p>Judge new information by its resemblance to the stored exemplars</p></li></ul></li></ul><p></p>
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Explanation-based categorization

Categotization

_______________ - Semantic categories are theories of the world we create to explain why things are the way they are.

  • Ad hoc categories

  • Psychological essentialism

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Ad Hoc categories

Explanation-based categorization

____________ - Categories created as needed, often spontaneously

<p>Explanation-based categorization </p><p>____________ - <span><strong>Categories created as needed, often spontaneously</strong></span></p>
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Psychological essentialism

Explanation-based categorization

_______________ - Members of a category are treated as if they have the same underlying property or essence

<p>Explanation-based categorization </p><p>_______________ - <span><strong>Members of a category are treated as if they have the same underlying property or essence</strong></span></p>
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Basic Principles of Semantic Priming

Priming in semantic memory

______________

  1. The priming process takes time

  2. The activation of primed concepts is smaller the more removed concepts are from the origin

    1. Nodes are activated for a short amount of time

  3. The priming effect is reduced across time

    1. After activation, they return to baseline

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Priming

____________ - an exposure of info which can influence the processing of info

  • Stimulus presented first in the hopes of influencing some later process

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Target

Priming in semantic memory

_____________ - the stimulus that follows the prime

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Facilitation

Priming in semantic memory

_____________ - Prime decreases processing time needed for the target

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Inhibition

Priming in semantic memory

_____________ - Prime increases processing time needed for the target.

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Implicit priming

_______________ from Marcel (1980) - trying to see how info we aren’t consciously aware of can influence our processing of info

  • Lexical Decision Task: “yes/no” this is/isn’t a word

  • Presented primes followed by a “mask” (scrambled visual patterns)

    • Participants were unaware of the prime

  • Primes facilitated lexical decisions even though Ps were unaware of the prime

  • Conclusion: Priming is an implicit process (partly

Say: “child” -> then toddler -> the toddler shows up easier in your mind because it was primed

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Context effects

______________ - Simpson (1981): Ambiguity and priming

  • Target word: Duke

  • “The vampire was disguised as a handsome count.”

Context effects are semantic priming effects (based on meaning)

Facilitated priming, similar to the Marcel study. Marcel study just accounts for visual stiff because of scrambled visual patterns

<p>______________ - <span>Simpson (1981): <strong>Ambiguity and priming</strong></span></p><ul><li><p><span>Target word: Duke</span></p></li><li><p><span>“The vampire was disguised as a handsome count.”</span></p></li></ul><p><span><strong>Context effects are semantic priming effects (based on meaning)</strong></span></p><p><span>Facilitated priming, similar to the Marcel study. Marcel study just accounts for visual stiff because of scrambled visual patterns</span></p>
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Lexical memory

______________ - The mental lexicon or dictionary where word knowledge is stored

  • Distinct from conceptual knowledge

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Anomia

______________ - deficit in word finding

Kay & Ellis (1987)

  • PDP models can be “lesioned” to mimic the effects of anomia

  • Can have an idea in mind but not be able to find it

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Category specific deficit

_______________ - A disruption where a person loses access to one semantic category of words but not others

  • E.g., Patient J.B.R.

    • Had problems naming living things, but no problems naming non-living things

What caused this dissociation?

  • Warrington & Shallice (1984): Disruption in sensory versus functional knowledge