J

General Knowledge

General Knowledge


LTM Types (Categorization)

  • Semantic LTM: Generalized, fact-based knowledge.

  • Episodic LTM: Memory of events occurring at specific times and locations.

  • Procedural LTM: Knowledge of how to perform tasks or functions.

  • Note: Overlap is common in LTM types, rather than clear distinctions.


Background and Approaches to Semantic Memory

What is Semantic Memory?

  • Refers to our general world knowledge: concepts, facts, meanings, and categories.

  • Example: Knowing that a dog is a mammal or that Paris is the capital of France.

  • Distinction: Unlike episodic memory, semantic memory is decontextualized and independent of the time and place of acquisition.

Importance

  • Classifies objects, understands language, makes inferences, and navigates the world.

  • Underpins reasoning, categorization, and problem-solving.


The Feature Comparison Approach

Definition

  • Concepts stored in memory as lists of features or characteristics.

  • Object recognition involves comparing presented stimuli to this set of features.

Features

  • Defining Features: Necessary for an item's meaning.

  • Characteristic Features: Descriptive but not essential.

Limitations

  • No objective method to determine defining vs. characteristic features.

  • Fails to explain relationships among category members (even with shared features).


Prototype Approach

Definition

  • Categories organized around prototypes—idealized or average examples.

  • Prototypes may not exist in reality but capture core common features.

Key Features

  • Prototypicality: Some members are better examples of a category (e.g., robin vs. penguin).

  • Graded Membership: Continuum from typical to atypical examples.

  • Family Resemblance: Items share overlapping features; no single feature is necessary.

Evidence

  • Typicality Effect: Faster categorization and recall for typical items (e.g., recalling apple faster than kiwi).


Exemplar Approach

Definition

  • Categorization involves comparing new objects to stored exemplars (numerous specific examples of category members).

  • Effective for smaller or less familiar categories (e.g., types of ancient coins).

Key Features

  • Influences of unusual examples, not just averages.

  • Early learning stages involve remembering individual examples before forming general concepts.

Evidence

  • Supports variability within categories.


Comparing the Prototype and Exemplar Approaches

Current View

  • Both approaches are not mutually exclusive; usage depends on:

    • Category size

    • Familiarity

    • Specificity of task

Comparison

Feature

Prototype Approach

Exemplar Approach

Number of stored items

One average prototype

Multiple individual exemplars

Flexibility

Less flexible (fixed average)

More flexible (adapts to atypical cases)

Best for

Large, well-learned categories

Small, less familiar categories

Typicality effects

Strong

Moderate

Learning Process

Gradual averaging

Accumulation of individual experiences


Schemas and Scripts

Schemas

  • Generalized mental frameworks representing knowledge about a situation, event, or concept.

  • Example: Restaurant schema (menus, ordering, paying).

Scripts

  • Specific schema focusing on expected sequences of actions in routine activities.

  • Example: "Going to a restaurant" script includes:

    • Being seated

    • Ordering food

    • Eating

    • Paying

    • Leaving

Functions

  • Guide encoding and retrieval.

  • Help fill in missing information (reconstruction).

  • Allow quick interpretation of new situations.


Memory Selection (Role of Schemas)

  • Schemas influence attention and memory encoding.

  • Schema-consistent information is more likely to be remembered (top-down processing).

  • Schema-inconsistent but salient information (e.g., a kangaroo in a classroom) can also be memorable.

  • Example: Participants in an office remember books (schema-consistent) even if absent, yet can remember a skull (schema-inconsistent).


Boundary Extension

Definition

  • Boundary Extension: Tendency to remember more of a scene than was actually present.

  • Example: After viewing a close-up of a table, participants recall parts of the room not shown.

Explanation

  • Established schemas for spatial layouts fill in unseen edges.

  • A form of schema-driven memory reconstruction.


Memory Abstraction

Definition

  • Storing the gist (general meaning) rather than exact details.

  • Particularly pronounced in semantic memory.

Example

  • People remember general themes better than word-for-word text after reading a story.

Theories

  • Constructive Approach: Memory as an active construction influenced by prior knowledge.

  • Pragmatic Approach: Memory focuses on what is useful or emotionally salient, not every detail.


Memory Integration

Definition

  • Memory Integration: Combining information from various sources into a coherent whole.

  • Blending new information with existing knowledge (schemas) forms a unified memory trace.

Examples

  • In learning historical events, students integrate textbook content, lectures, and prior beliefs into cohesive memories.

  • In recalling conversations, remembered content may involve inferences based on the person’s personality.

Risk

  • Can cause memory distortions, including false memories, when schema-based assumptions are incorrectly remembered as actual events.