Lecture 6: Semantic Memory Flashcards
What is a knowledge category?
- group of objects that belong together and have something in common
What is an exemplar?
- item in the category
Why are categories important for prediction?
- categories allow us to predict what is likely in new situations because they treat all exemplars as similar
What is the classic view of categorization?
- categories are defined by a list of necessary and sufficient features
What is a necessary feature?
- item must have all defining features to be included in the category
- i.e. humans are bipedal mammals
What is a sufficient feature?
- attribute not required for category membership
What is the problem with the classic view?
- items can be categorized as whether they are more or less typical examples of a category than others (graded membership)
- leads to typicality effects
What is prototype theory?
- categories have a graded structure
- rather than a set of defining features, exemplars have characteristic features
How is category membership determined according to prototype theory?
- determined by matching the item with prototype stored in memory
- categories have a central tendency where exemplars with most characteristic features are found
- all category members share a family resemblance even if they are not typical
What is exemplar theory?
- items are divided into categories and sorted based on defining features + exceptions
- categories are based on mental accounts of each experience, instance, or example of the encounters a person has had with members of that category
- generalize from many members to form a prototype
What is the problem with similarity theories like prototype and exemplar theory?
- people can give typicality ratings to clearly defined categories
(rank these numbers based on their “odd-ness”) - people can make up reasons that two items are similar
(how are a television and a banana similar?) - category members may not be typical, and typical cases may not be category members
(is a tomato a fruit or a vegetable?)
What is the theory-based or explanation-based view of meaning?
- knowledge and beliefs are important for categorizing
- we have complex IMPLICIT ideas about categories and concepts
→ includes idea of the CAUSE of category membership, not just features
→ “psychological essentialism” i.e. things just are that way because they are
How did Rips’s 1989 experiment demonstrate psychological essentialism?
- cats can’t be anything else but cats
- toasters can become something other than a toaster
- something about them is essentially this or that
What are semantic network models?
- concerned with how different items are related to each other
- all network models are based on idea that nodes contain information that are connected to each other by directional pathways
How are nodes in semantic network models activated?
- activated via spreading activation to connected pathways
→ primes related concepts
What is Collins & Quillian’s hierarchical model?
- nodes are in a network where a set of concepts that are related to each other are connected
- concepts can activate some or several nodes
What is Collins & Loftus’ Semantic Relatedness model?
- nodes are organised based on the strength of their relationship
- stronger associations are represented by shorter pathways
→ thus typical exemplars have shorter pathways
What are feature comparison models of semantic memory?
- believe categories exist as a list of features (both defining and characteristic)
→ similar to classic view
How is category retrieval accomplished by feature comparison models?
- accomplished by comparing feature lists in 2 stages:
→ Stage I is a fast search for large feature overlap.
→ Stage II is a slower search for defining feature overlap.
What are connectionist models of semantic memory?
- based on how brain is structured
- consists of highly connected neuron-like units
What are the features of the units in connectionist models?
- layer of output, hidden, and input units
- each unit can be inactive, excitatory, or inhibitory
- each unit has a connection with different weights (+1 to -1)
How is information stored in connections models?
- stored as a pattern of activation
- new information changes the weights so the pattern
Why is remembering reconstructive?
- use general knowledge and expectations based on past experiences to organize memories
What was Bartlett’s work with memory?
- repeated reproduction technique
→ used stories, poems and had people memorize them
→ then asked to retell the story several times over several intervals - reported the constructive nature of memory
What is the advantage of schemas?
- help us organize our memories
- focus our limited resources
- reduce memory load
- make inferences