L15, 16 - Categories & Concepts Flashcards

1
Q

What are categories?

A
  • Categories are sets of things in the world that we represent as alike in some way, or treat as equivalent for some purpose.
  • E.g: birds, things to take on a picnic, colours.
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2
Q

What is a concept?

A
  • Often used to refer to the representation of things about the category.
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3
Q

What is categorisation and concept forming useful?

A
  • Allows novel experiences to be understood as like previous experiences.
  • Make predictions based on these classifications.
  • Common reference (categories often have labels).
  • Building blocks of more complex language.
  • More efficient in cognitive economy.
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4
Q

How are categories represented in Feature-Based Approaches?

A
  • The majority of approaches assume categories are represented by unstructured collections of features, describing properties of individual objects.
  • Doggo: four legged, furry, mammal, borks, friendly.
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5
Q

What are the 5 main variants of the Feature-Based approach?

A
  • Classical rule-based view.
  • Prototype models.
  • Exemplar models.
  • Cluster models.
  • Category boundaries.
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6
Q

Outline the Classical Rule-Based view:

A
  • Categories are represented by a set of defining necessary and sufficient features distinguishing members from non-members.
    E.g. Bachelor: unmarried man.
  • People learn categories by holding candidate rules in mind and testing them to predict membership.
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7
Q

Outline the Prototype Theory:

A
  • There are often not necessary and sufficient conditions (criticism of Classical view).
    E.g. Pope, widower, man in long term relationship - all are not married but wouldn’t be labelled as bachelors.
  • Prototypes are the collection of the average features across examples.
  • Classification is about testing how similar new exemplars are to prototype.
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8
Q

Outline the Exemplar Theory:

A
  • Agrees with prototype theory in terms of classification about similarity rather than rules.
  • Categories are represented as the collections of encoded exemplars.
  • People generalise to things that are superficially quite like what they have seen before.
  • Novel atypical stimuli are often classified as members if even a single encoded exemplar (Ostrich->weird af bird->helps to learn Emu).
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9
Q

Outline the Cluster Model:

A
  • Mix between Exemplar and Prototype Models (can store exemplars, can make abstractions).
  • As exemplars are encoded, system predicts their category membership.
  • Forms prototype-esque summary representations of similar examples.
  • Atypical exemplars and similarities form sub-clusters.
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10
Q

Outline the Category Boundaries Model:

A
  • Instead of being concerned with summary representations, some theories focus on boundaries between categories.
  • Leads to ideals/caricatures, also predicted by the error-driven learning of cluster models.
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11
Q

What is the Structured Knowledge Approach?

A
  • Concepts are not isolated from each other, but are parts of large knowledge structures that make them coherent and systematic.
  • E.g: Bachelor - not merely an unmarried man, but a particular phase within a male hetero-normative life trajectory.
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12
Q

What is the ‘Theory Theory’?

A
  • To represent concepts we have theories and relations to prior knowledge for categorisation.
  • e.g. man jumping in pool is seen as drunk.
  • Prior knowledge can make categories coherent and easier to learn.
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13
Q

What are the benefits of Theories over Feature based accounts?

A
  • Feature accounts look at domain knowledge but focus on hierarchical taxonomies (dog->mammal->animal).
  • Theories go further and provide casual connections and organise domains.
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14
Q

What are Ad Hoc and Goal Derived Categories?

A
  • Goals can make categories coherent, and even lead to constructing categories on the fly.
    E.g: “What do family pictures, jewellery, pets all have in common?” -> Things to grab in a fire.
  • Different from feature-based categories is the importance of ideals.
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15
Q

What are relational categories?

A
  • Members represented by relational structures or roles within those structures rather than just features.
  • E.g. husband (marriage), victim (robbery), solvent (catalysis).
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