Declarative knowledge is the knowledge of facts, concepts, and ideas that can be expressed in words and other symbols.
Semantic memory is the memory of general knowledge or facts that are not tied to specific events or experiences.
Episodic memory is the memory of specific events or experiences that have happened to us.
Procedural knowledge is the knowledge of how to do things, such as skills, procedures, and processes.
Procedural knowledge is often learned through practice and repetition and is not easily put into words or explained.
Declarative knowledge can be further divided into two types: semantic memory and episodic memory.
Declarative knowledge is divided into two main categories: declarative knowledge and procedural knowledge.
Declarative knowledge is the representation of facts or information that can be easily stated or explained.
Concepts are mental categories used to group objects, events, or ideas that have common properties.
Propositions are statements that express relationships between concepts.
Images are mental representations of sensory experiences.
Procedural knowledge is represented in our minds through mental models, which are mental representations of how to perform a task or accomplish a goal.
Mental models are often learned through observation and practice and are stored as a series of steps or procedures.
Declarative knowledge is the knowledge of facts, concepts, and ideas.
Procedural knowledge is the knowledge of skills, procedures, and processes.
Declarative and procedural knowledge often work together to help us perform tasks and solve problems.
Categorization is the process of grouping objects, events, or people based on commonalities.
Categorization can be based on different factors such as features, prototypes, or exemplars.
People categorize concepts based on their implicit theories or general ideas about those concepts.
A person's theory about what makes someone a "good sport" will influence how they categorize individuals as good or bad sports.
The theory-based view of categorization is different from the feature-based, prototype-based, or exemplar-based views of categorization.
Feature-Based View of Categorization: Involves isolating features of a concept to categorize it.
Prototype-Based View of Categorization: Involves categorization based on a prototype or typical example of a concept.
Prototype-based view of categorization involves finding characteristic features of a concept to categorize it.
Exemplar-based view of categorization involves finding examples of a concept to categorize it.
Theory-based view of categorization suggests that people use their theories to categorize concepts.
People learn about concepts and categories through these different views of categorization.
Learning is strategically flexible and not rigidly one-size-fits-all.
People categorize concepts based on their implicit theories or general ideas about those concepts.
Implicit theories allow individuals to distinguish between essential and incidental features of concepts and make inferences beyond perceptual similarity.
Understanding the theory-based view of categorization is important for understanding the complexity of meaning and how people categorize the world around them.
Knowledge representation is the way in which information is organized and stored in the mind.
Collins and Quillian's Network Model is one of the earliest models of knowledge representation.
According to this model, knowledge is organized as a hierarchical tree diagram, with nodes representing concepts and links representing relationships between concepts.
For example, in the category of animals, a node for mammals would be connected to nodes for specific types of mammals such as dogs, cats, and horses.
One model of knowledge representation is based on hierarchical relationships, where concepts are organized in a hierarchy based on membership, attributes, or semantic relationships.
This model allows for inferences to be made based on existing knowledge.
However, it has been criticized for not accounting for the fact that category judgments can be made faster for items that are closer together in the hierarchy.
Another model of knowledge representation is based on the comparison of semantic features.
Concepts are represented as points in a psychological space organized by different features.