Lecture 9: Representation of Knowledge Flashcards

1
Q

What is procedural knowledge?

A
  • How to do things
  • Type of knowledge required through practice, usually extensive practice
  • Hard to extinguish or change it (e.g., playing the piano. Chris’ father in law playing golf example)
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2
Q

What is declarative knowledge?

A
  • Facts, events (things you know and have experienced)
  • Acquire with organization (not just randomly stored)
  • Easily forgotten or changed (relative to procedural knowledge. Recall eyewitness studies)
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3
Q

What are the two subtypes of declarative knowledge?

A
  • Episodic: autobiographical (subjective; idiosyncratic). Temporal tags (e.g., when is the first time you learned to ride a bike, first day of university etc.)
  • Semantic: factual, words, concepts. Not referenced to own experiences (e.g., we know what the word house means but it doesn’t mean that we remember the day we learned the word house)
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4
Q

How did Cohen and Corkin (1982) examine explicit episodic learning vs. implicit procedural learning?

A
  • Compared normals vs. amnesics (like HM)
  • ## Task: “Tower of Hanoi puzzle” (Objective: move entire set of disks to another rod. But only one disk can be moved at a time, disks must be move onto another rod, no disk may be placed on top of a smaller disk)
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5
Q

What were the results of the study by Cohen and Corkin that examined explicit episodic learning vs. implicit procedural learning?

A
  • Normals: learns set of procedures. Transfer to other tasks and have episodic memory of solving the puzzle.
  • Amnesics: can learn task! also show transfer (meaning that knowledge can be applied to other types of puzzles)! but no episodic memory
  • Shows: a dissociation between explicit (episodic) memory & implicit (procedural) knowledge
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6
Q

Who was Henry Molaison?

A
  • Retrieval of information from LTM intact
  • STM (working memory) intact
  • But, could not transfer new declarative info to LTM
    • i.e., explicit storage of new info a problem
    • this included episodic information (experiences)
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7
Q

What was the evidence that supported that HM’s working memory was intact?

A
  • HM had no recollection of doing this task from one
    day to the next
  • However, HM improved in this motor learning task!
  • Evidence for implicit learning and memory
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8
Q

What is semantic memory?

A
  • Permanent memory of general world knowledge
  • Semantic memory is highly organized
    • Eye witness studies (lecture 08)
    • Psychoanalysis relies on organization
    • Aim is to examine and formalize this organization
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9
Q

What different brain processes does semantic memory use?

A

Semantic memory uses different brain processes than episodic memory:

  • episodic memory: hippocampus and anterior prefrontal cortex
  • semantic knowledge: lateral temporal lobes, posterior prefrontal cortex
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10
Q

How did Tulving examine the organization of semantic memory?

A
  • Subjective organization
  • Present a list of unrelated words, several times & in different orders
    • Not semantically related; Do people impose their own organization on these items? Wanted to get an index of this grouping because it shows that organization is subjective. Does this organization have a role in overall memory?
  • If two words were grouped together on one trial and the then the same two words later you got points this was a measure subjective organization
  • From list to list, people started to impose subjective organization on pairs of words. Which drove an increase in recall. Creating a semantic memory network.
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11
Q

What are the 3 models of semantic memory?

A
Feature Model:
- Semantic Feature-Comparison Model
Two Network Models:
- Hierarchical Network Model
- Spreading Activation Model
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12
Q

What is the structure of the semantic feature comparison model?

A
  • knowledge consists of sets of features (We know a robin is a bird because we are comparing features. The features of a robin to the category bird.)
  • features weighted on n-dimensional space
    • small ——————————————- large
  • defining: - important (critical core features that define that category)
  • characteristic: - less important (often seen within this category, but they don’t necessarily have to be there)
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13
Q

What is the decision process involved in the semantic feature comparison model?

A
  • Sentence to Verify (e.g., Is a robin a bird?)
  • Stage 1: Global Feature Comparison (features activated for both robin and bird)
    • Low Overlap Fast “No”, High Overlap Fast “Yes”, Intermediate Score Go to Stage 2
  • Stage 2: Compare Defining Features
    • Features Mismatch slow “no”, Features Match Slow“Yes”
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14
Q

What evidence exists for the semantic feature comparison model?

A
  • Typicality ratings (robin and sparrow rated as most typical, then pigeon, hawk, chicken)
    • All birds have most defining features, so assume that typicality reflects difference in characteristic features.
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15
Q

What is the problem with the semantic feature comparison model?

A
  • Disconfirming sentences
  • Responses should be faster to collies are birds STAGE 1 than to Collies are poodles STAGE 1 + 2
  • Results are opposite! People should be faster to say that collies are not birds because they don’t share a lot of features, but they aren’t (people say collies are not poodles faster)
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16
Q

What is the hierarchical network model?

A
  • Why are true/false responses faster to “a robin is a bird” than to “a robin is an animal”?
  • Hierarchy: The more inclusive the category is the higher up it is on the hierarchy
  • Cognitive economy: It is not economic to store all information at every level, it needs to be efficient (e.g., skin doesn’t need to be stored at each level like robin etc. it can be stored at the animal level). Information which is common is stored at the highest level possible and that information subsumes the other levels. The model predicts that going from one level to the next is going to take more time.
17
Q

What is the structure of the hierarchical network model?

A
  • semantic memory vast collection of associated nodes (concepts)
18
Q

What is the processing of the hierarchical network model?

A
  • Info retrieval = search of pathways
  • ” a canary can sing” : find canary and retrieve properties (singing should be stored at the canary level, not higher up because not all birds and animals can sing. so we should be able to identify it very quickly
  • A bird can breathe: bird node, move up a level (under the animal level not under the bird level, because it’s not specific to birds)
    Decisions: “yes” if retrieval successful and “no” if not
19
Q

What are the assumptions of the hierarchical network model?

A
  • takes a set amount of time to move up each level
  • fanning (parallel)
  • self-terminating search
20
Q

What is the evidence for the hierarchical network model?

A
  • Superordinate Search: RT canary-canary < RT canary-bird < RT canary-animal
  • Property Search: RT canary sing < RT canary fly < RT canary skin
21
Q

What is the problem with the hierarchical network model?

A
  • typicality effects
    1. Why is Robin rated as more typical than chicken (they are both birds)?
    2. Why faster to respond to typical than to atypical ?
22
Q

What is the structure of the spreading activation model?

A
  • not hierarchical
  • related nodes are connected
  • length of line = degree of relatedness
  • links: ISA & ISNOTA (bi-directional)
23
Q

What is the process of the spreading activation model?

A

Activate one node: causes spread of activation to related nodes
Amt. of spread: the strength of activation is based on semantic distance (the closer they are, the stronger the activation/connection is between them)

24
Q

How are decisions made in the spreading activation model?

A
  • Evaluate evidence at intersections
  • can ISA or ISNOTA connections (gives superordinate)
  • Strength of activation at intersections
25
Q

What is the evidence for the spreading activation model?

A
  1. Verification (true/false) reaction time:
    “Robin is a bird” is verified faster than “Robin is an animal”. “Robin is a bird” is also verified faster than
    “Chicken is a bird
  2. Semantic Priming (Meyer and Schvaneveldt)
    - Task: lexical decision. Shows strings of letters, determine if they are words or not. house (word) hode (nonword)
    – When a word is seen there is activation in all the related items. So if you see dog, and then cat. The connection is really quick because Cat gets preactivated by dog