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Questions and Answers
What is semantic memory primarily responsible for storing?
What is semantic memory primarily responsible for storing?
What does a concept represent in semantic memory?
What does a concept represent in semantic memory?
Which approach defines concepts based on their essential, common features?
Which approach defines concepts based on their essential, common features?
What issue is associated with the common-feature approach to defining concepts?
What issue is associated with the common-feature approach to defining concepts?
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What do fuzzy boundaries in concepts refer to?
What do fuzzy boundaries in concepts refer to?
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Which of the following is NOT a building block of semantic memory?
Which of the following is NOT a building block of semantic memory?
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In what way do prototypes differ from the common-feature approach?
In what way do prototypes differ from the common-feature approach?
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Which semantic organization theory describes a structure that is hierarchical in nature?
Which semantic organization theory describes a structure that is hierarchical in nature?
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What is a prototype in the context of category representation?
What is a prototype in the context of category representation?
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What is meant by 'typicality effect'?
What is meant by 'typicality effect'?
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What is a limitation of the prototype approach?
What is a limitation of the prototype approach?
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In the exemplar approach, which additional information is stored along with category examples?
In the exemplar approach, which additional information is stored along with category examples?
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How is the prototype similarity score calculated?
How is the prototype similarity score calculated?
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What was suggested by the findings regarding exemplar scores and reaction times (RTs)?
What was suggested by the findings regarding exemplar scores and reaction times (RTs)?
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Which statement accurately differentiates the exemplar approach from the prototype approach?
Which statement accurately differentiates the exemplar approach from the prototype approach?
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What does 'family resemblance' indicate in the context of category membership?
What does 'family resemblance' indicate in the context of category membership?
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What characterizes the hub in conceptual representation?
What characterizes the hub in conceptual representation?
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Which of the following best describes the three-level hierarchy of concepts?
Which of the following best describes the three-level hierarchy of concepts?
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How did Collins and Loftus contribute to the understanding of semantic memory?
How did Collins and Loftus contribute to the understanding of semantic memory?
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What is the limitation of the hierarchical approach to concept categorization?
What is the limitation of the hierarchical approach to concept categorization?
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Which method is NOT mentioned as a way to find related concepts in semantic networks?
Which method is NOT mentioned as a way to find related concepts in semantic networks?
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What does latent semantic analysis (LSA) primarily compute?
What does latent semantic analysis (LSA) primarily compute?
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What is a characteristic of the basic-level category in concept hierarchy?
What is a characteristic of the basic-level category in concept hierarchy?
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What type of model is latent semantic analysis categorized as?
What type of model is latent semantic analysis categorized as?
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What is included in the spokes of conceptual representation?
What is included in the spokes of conceptual representation?
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How can the meaning of a word be inferred according to the provided content?
How can the meaning of a word be inferred according to the provided content?
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In semantic networks, what do 'nodes' represent?
In semantic networks, what do 'nodes' represent?
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What is a major application of the Simlex-999 dataset?
What is a major application of the Simlex-999 dataset?
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In semantic memory research, what does 'spreading activation' refer to?
In semantic memory research, what does 'spreading activation' refer to?
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What is the primary focus when analyzing 'semantic vectors'?
What is the primary focus when analyzing 'semantic vectors'?
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What type of data can be utilized for the word association task?
What type of data can be utilized for the word association task?
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What role do connection weights play in the latent semantic analysis model?
What role do connection weights play in the latent semantic analysis model?
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What is the result of activating a node in a semantic network?
What is the result of activating a node in a semantic network?
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How does a stereotype relate to schemas?
How does a stereotype relate to schemas?
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Which of the following describes a schema?
Which of the following describes a schema?
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In semantic memory theories, which mechanism is involved in how information is organized?
In semantic memory theories, which mechanism is involved in how information is organized?
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Which of the following best characterizes a proposition?
Which of the following best characterizes a proposition?
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How do schemas facilitate memory?
How do schemas facilitate memory?
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Which type of theoretical approach categorizes concepts by their common features?
Which type of theoretical approach categorizes concepts by their common features?
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What role do stereotypes play when interpreting social situations?
What role do stereotypes play when interpreting social situations?
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Study Notes
Semantic Memory
- Semantic memory is a part of declarative (explicit) long-term memory that stores general facts and concepts about the world.
- It also includes knowledge of the meanings of words in a specific language.
- Individual elements like concepts and categories are the building blocks of semantic memory.
Concepts
- A concept is a mental representation of a category of objects.
- A category is a set of objects that belong together.
Theoretical Approaches to Defining Concepts
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Common-feature approach: Concepts are defined by their essential, shared features, allowing categorization by checking those features.
- Example: "Fruit" is defined by being the ripe, reproductive body of a seed plant.
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Issues with the common-feature approach:
- Difficulty identifying defining features for all concepts.
- Even with features, some concepts are not easily classified, showing fuzzy boundaries.
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Prototype approach: Each category has a prototype, a central description representing the category in long-term memory.
- To categorize, items are compared to the prototype, and a high level of match indicates family resemblance.
- Typicality effect: People are faster to identify typical members of a category compared to non-typical members (e.g. robin vs. ostrich).
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Limitations of prototype approaches:
- Not all concepts have clear prototypes (e.g., abstract concepts, ad-hoc categories).
- Prototype approaches don't fully capture expert evaluations of concepts, which involve more complex evaluations than feature matching.
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Exemplar approach: Instead of storing a single prototype, we store examples (exemplars) of the category in long-term memory, along with encounter frequency information.
- Comparisons to these exemplars contribute to categorization.
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Comparing Exemplar and Prototype Approaches:
- Both approaches contribute to category naming time (RTs), but exemplar scores showed a stronger correlation.
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Knowledge-based approach: Embodied representation with modality-specific spokes (sensory, motor, emotional, verbal) and a modality-independent hub for integrated information.
- Emphasizes contextual variability (through spokes) and stability (through hub).
Theories of Semantic Organization
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Hierarchical approach: Concepts are organized in a hierarchy of generality, with superordinate (abstract), basic-level (balanced), and subordinate (specific) categories.
- Example: "Furniture" (superordinate), "Chair" (basic), "Bar stool" (subordinate).
- Limitations: The three-level hierarchy is inflexible and arbitrary, and doesn't account for the diversity of real-world categories.
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Network-based approach: Semantic information is organized based on semantic relatedness in a semantic network.
- Nodes represent concepts, and links connect related concepts.
- Spread of activation: When a node is activated, activation spreads to connected nodes, enriching the meaning of the original concept.
Methods for Identifying Semantic Relationships
- Word association task: Participants provide associations to a given word.
- Feature listing task: Participants list features associated with a concept.
- Direct ratings of similarity: Participants rate the similarity between two concepts.
- Computational approaches: Analyze co-occurrence patterns of words in large datasets to calculate semantic vectors representing word meaning.
Combining Concepts
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Proposition: Combine concepts based on rules to create true or false statements.
- Example: "Dr. Cynthia is a professor in the psychology department."
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Schema: Integrated packets of related propositions about the world, events, or people.
- Example: "How to take public transport in Singapore."
- Stereotype: A type of schema containing negative overgeneralizations about a specific group of people.
Importance of Schemas
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Facilitate perception and memory: Schemas help recognize familiar objects and events quickly.
- Example: Recognizing the card reader on a bus.
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Enable predictions and inferences: Schemas allow us to make assumptions about situations and people.
- Example: Assuming a family with many pets is unlikely to be planning children.
War of the Ghosts
- Demonstrates how schemas influence memory by shaping recollection and interpretation.
- Reflects how personal schemas can influence understanding of social situations.
- Stereotypes can also influence the interpretation of events.
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Description
Explore the fundamentals of semantic memory, including the definitions of concepts and categories. This quiz highlights theoretical approaches like the common-feature and prototype approaches to understanding how concepts are formed and categorized in the mind.