NS

Conceptual Knowledge Part 1 - Lecture Notes

Updates and Reminders

  • No in-person class on Thursday (4/3) - Recorded lecture instead!
  • Exam 2 Update.
  • Blackboard assignment due Sunday.

Cognitive Processes

  • Attention.
  • Short-term / working memory.
  • Long-term memory.
  • Everyday memory & memory errors.
  • Conceptual knowledge.
  • Problem-solving and creativity.
  • Judgements, decisions, and reasoning.
  • Perception.

Today's Roadmap

  • Part 1: Introduction to concepts and categories.
  • Part 2: Categorization theories.
  • Part 3: Levels of categories.

Part 1: Introduction to Concepts and Categories

  • Concept: the mental representation of a class or individual that gives it meaning.
  • Conceptual knowledge allows us to recognize objects and events and to make inferences about their properties.

Why are Concepts Important?

  • To recognize objects and events.
  • To make inferences about their properties.
    • What is this item we’ve encountered?
    • What makes it a pumpkin?
    • How do we tell it apart from other things?
    • What do we do with it?
    • Is it safe?
    • Can we eat it?

What is a Category?

  • Category: group of objects or entities that have something in common.
    • Defined by the concept.
    • Includes all possible examples of a particular concept.
  • Categorization: the process by which things are placed in categories.

Why are Categories Important?

  • Allow for generalization across members of a category.
  • Allow us to make predictions about new objects based on previous experience with related objects.
  • Allow us to communicate our unique experiences to others.
  • "Pointers to knowledge" (Yamauchi & Markman, 2000).

Key Questions

  • How are different objects, events, or ideas assigned to a particular category?
  • How can categories be defined?
  • Why do we say that “not all things are created equal”?

Part 2: Categorization Theories

  • Categorization theories:
    1. Definitional theories.
    2. Prototype theories.
    3. Exemplar theories.
    4. Theories and rules.

1. Definitional Theories

  • We decide whether something is a member of a category by determining whether the object meets the definition of the category.
  • Categories have a clear set of defining features.
    • Necessary: an object must have the defining features to be a category member.
    • Sufficient: an object must have all of the defining features to be a category member.
  • Prediction: all members of a category should be equally easy to identify.
    • Determine what features the new object has.
    • Compare them to the defining features of each category.
    • Pick the category that has all its defining features satisfied.
  • Limitations of this view:
    • Defining features don’t exist for all categories (e.g., chairs, games, furniture).
  • Possible solution = family resemblance (Ludwig Wittgenstein, 1953).
    • Category members can resemble each other in different ways.
    • There is no set of characteristics that all category members must share.
    • Allows for some variation within a category.
    • For example: What defines a game?
      • Practiced by children.
      • Engaged in for fun.
      • Has rules.
      • Involves multiple players.
      • Is competitive.

2. Prototype Theories

  • Category membership decided by comparing the object to a prototype that represents the category.
  • Prototype: a summary or average of all experienced members of a category.
    • Captures the family resemblance of category members - is like a “typical” member.
    • Does not have to be a real exemplar from the category.
    • Objects are categorized by finding their most similar prototype.
  • Eleanor Rosch (1975a) Demonstrated that typicality is an important factor in categorization.
    • People consistently rate typical category members as being better category examples.
  • Connections between prototypicality and behavior:
    • Mervis and coworkers (1976)
    • Smith and coworkers (1974)
    • Rosch (1975)
    • Solso and MacCarthy (1981)
  • Prototypical objects are named first.
  • Smith and coworkers (1974) determined how fast people could answer questions about an object’s category.
    • Sentence verification technique: Participants answer “yes” (for true) or “no” (if false) to presented sentences
      • “An apple is a fruit”.
      • “A pomegranate is a fruit”.
    • Results: People were faster to verify sentences that include typical members (an apple is a fruit).
    • Called the typicality effect.
  • Eleanor Rosch (1975b) asked whether more prototypical category members are more easily primed than non-prototypical members.
    • Methods:
      • A color name was presented before participants saw two colors.
      • Participants then had to identify whether the two colors were identical or different.
      • Side-by-side colors were paired in three different ways.
    • Results: After priming, participants faster to identify typical colors as being the same compared to atypical colors.
    • Conclusions: Category labels prime typical members more than atypical members.
  • Solso and MacCarthy (1981) tested whether we generate prototypes while learning about categories.
    • Methods:
      • Shown a series of faces which were based on a non-presented prototype.
      • Then given a recognition test containing:
        • Old faces.
        • New faces.
        • The prototype.
      • Results: Recognition was highest for the prototypes even though they were never presented during the study phase!
      • Conclusions: We spontaneously create prototypes.
  • Posner and Keele (1968) we also generate prototypes while learning about abstract categories.

3. Exemplar Theories

  • Categories are not represented by a single prototype; instead, they are represented by individual objects in a category that a person has encountered in the past (called exemplars).
    • Example: sparrows, robins, and bluejays as exemplars for the category “birds”.
  • Categorization is based on how similar the object is to all exemplars of a category.
  • Benefits: Can explain many of the same phenomenon as prototype theories and are better at dealing with outliers (penguin) and variable categories (games).
  • Disadvantages: inefficient due to higher storage requirements.
  • We may use both prototype and exemplar approaches.
    • May average exemplars into a prototype early in learning, with some of the exemplar information becoming stronger later in learning!

4. Theories and Rules

  • All categorization judgments are not based on similarities
  • Gelman and Markman (1986) asked children to rate the similarity between pairs of objects.
    • Children rated the bat and blackbird as being more similar than the flamingo and blackbird.
    • Next, asked “if a flamingo mashes up food to feed its babies and a bat feeds its babies milk, what does a blackbird do?”
    • Children chose “mashes up food”, even though they thought the blackbird was more similar to the bat.
  • All categorization judgments are not based on similarities.
    • We also use theories and rules about the natural world.
    • Children in the Gelmen study could use their biological theories to answer questions.
      • For example: Even though blackbirds look more like bats, they work differently.
    • This implies that we can treat some features, or combination of features, as being necessary for group membership.
  • Allen and Brooks (1991)
    • Had two groups of participants learn about “builders” and “diggers”.
      • Rule group: builders have at least 2 of
        • Angular bodies.
        • Spots.
        • Long legs.
      • Memory group: memorize the examples.
    • Subjects were given new examples to categorize at test
      • Easy: looked similar to previous examples of the same category.
      • Hard: looked dissimilar to previous examples of the same category, but had the required features.
    • Results
      • Memory condition: wrong answer to hard examples 86% of the time
      • Rule condition: wrong answer hard examples only 45% of the time.
    • Conclusion: Demonstrates we can use different strategies – such as rules – to form categories.

Part 3: Levels of Categories

  • Hierarchical organization
    • Larger, more general categories are divided into smaller, more specific categories.
    • Creates a number of levels of categories.
  • Is there a level that is more psychologically important than the others?
  • Rosch & coworkers (1976a)
    • List all the items you can that would be common to all or most of the objects in the category.
  • Rosch & coworkers (1976b)
    • Write down a word that identifies each picture.
      • Guitar [not musical instrument or rock guitar].
      • Fish [not animal or trout].
      • Pants [not clothing or jeans].
  • Is there a basic level of that is more psychologically important than the others?
    • Basic level may be psychologically privileged.
  • Tanaka & Taylor (1991) study with experts vs. non-experts.
    • Method: Asked bird experts and non-experts to name pictures of objects.
    • Results:
      • Experts responded by providing specific-level category information for the birds (“robin”).
      • Non-experts provided basic-level category information (“bird”).
    • The level that is “special” – that people tend to focus on – is not the same for everyone!