Semantic knowledge Flashcards
What was the previous model of semantic memory? What influenced the change?
Viewing memory as a library of knowledge = not a good model because inaccurate, proposing we have specific locations for memories
- Development of computers -> rather we have network where everything is interconnected
What were the 2 assumptions about artificial intelligence?
Assumption 1: If we know how a computer generates knowledge and uses it, we will know how human memory works
Assumption 2: If we know how human memory works -> we can create a superpowerful computer/software e.g. ChatGPT
How do models (in general) look like know?
We have different nodes and arrows - all of which serve a specific function
- The node here: knowldge that “dog eats meat”
Why are some sentences easier to evaluate as correct or incorrect? Model?
- Collins and Quillian Model
- every animal has its own characteristics
- different categories
- If knowledge is tied directly to the activated word will be easier
- E.g. easy to say canary can sing X as opposed to canary can fly (moving up to a bird category.
Is Collins and Quillian Model still relevant? Why?
Typicality effects
- A robin is a bird x chicken is a bird => first is faster because it is a prototype of a bird
=> frequency of association is more important than distance in the hierarchy
- Also don’t explain NO-answers e.g. Dog can fly -> No
How does the later model from Collins looked like?
- Same idea - but leaving hierarchy behind
- Just a flat network which connects nodes based on association
What’s the difference between associative and semantic priming? E.g.?
Associative priming
- E.g. “cats and dogs” may prime “weather” (from the expression “it’s raining cats and dogs”)
Semantic priming
- E.g. “Dog” primes “labrador”
Explain priming x lexical desicion task.
Procedure: fixation -> flash a related or unrelated word -> flash a target word -> decide whether it is a word or not
Findings:
=> RT faster for priming, related words
=> also for rule based expectations
- E.g. telling people after category “body” you would get item from category of “building”
What is categorization? Why do we have it? What is meant by “level of organization”?
= ability to categorize stimuli
- relevant for survival e.g. recognizing toxic food
- Level of organization
- Subordinate e.g. Granny Smith
- Basic e.g. Apple
- Superordinate e.g. fruit
What is meant by “prototype x exemplar” in categorization
If I ask “Is this a bird?”
- Central tendency e.g. robin x graded membership (harder to categorize) e.g. pinguin
- we can move within these degrees of “birdness” => frequency of encounter creates prototypes
How did the recognition task used for studying categorization go?
Procedure: showing 4 pictures of random dots of the same category to participants -> giving them an another set
=> asked which one’s are from the same or different category
Findings:
=> If the test item resembled the prototype (pictures present in the training phase) - more likely to say it is the same category
=> after many many examples people reach quite good classification
=> Even people with anterograde amnesia can learn this type of categories
What’s the difference between prototype theory and exemplar models?
Prototype theory
- has NO information about size of the category or variaty within the category
- It’s only about central tendency e.g. this is a bird because it resembles our bird prototype
Exemplar models
- We retrieve all the exemplars of the category e.g. all the birds - if it matched with one it is a bird
=> ongoing debate, but exemplar models seem to explain data a bit better
What did sir Frederic Bartlett propose regarding memory? How did he call it? Name of the phenomenon?
- Sir Frederik Bartlett
- When recalling something we are reconstructing it - not just a snapshot of reality but also additions from our previous knowledge
Procedure: read a story -> recall instantly -> after 3 weeks
=> personal background affects recall
E.g. what the black thing? how did he know they were ghosts?
=> They called these patterns of addition = schemas
Why may schemas be useful?
- Can help with encoding but also cause distortions
- Can steer memory in a specific direction
- e.g. instructions for washing clothes
Recall the study with pictures and their interpretations.
Procedure: presented with a vertical line of drawings and instructed to remember them
- 2 groups, each given a different explanation of the pictures
Findings
=> Exlanations influenced how people drew it afterwards