1 Flashcards
Thinking and Reasoning
Thinking relates to knowledge and knowing, you can’t problem solve or think about something you don’t know. We cannot problem solve if that solution hasn’t been attempted before set as a precedent.
-What is Reasoning: Relationship with memory:
Categorical thinking: exemplar, Heuristics, Bias
-Category: structure of knowledge in the mind
-exemplars: the use of individual types in a category to build a category
-Hueristics: what happens when you have a category, how do you apply that category on exemplars you’ve never seen before
-Bias- systematic errors emerge through categorical thinking that lead us to make the same mistakes
Problem-solving defined
Problem-solving: creativity and insight
1.well-defined problems: arithmetic
2.ill-defined problems: messy roommate
-to define a problem, you must your current state and your goal, and identify the differences between them.
-how we solve problems shows us how we think
-a problem is open ended and there are many ways to solve a problem
What is Knowledge? Episodic
Categories:
Abstraction, Templates, and Prototypes
-this is how we have and use templates to store and use information in our minds
-We put them(templates) together semantically
-people make abstractions because they are no longer concrete and they have prototypes for abstract ideas
Abstraction:
Expertise: is a way an individual engages with exemplars and an expert is an individual who looks at every exemplar uniquely and not holistically like a category.
-its not either or, its both methods. We take the differential approaches depending on what kind of information we have.
Template: Exemplars
Exemplars: Perceptual tuning: sensitivity to select features:
When you see an exemplar you match it to templates in your mind (from memory). You have a memory for dogs, cats, plants, flowers etc
-tiger and cat: exemplars
-knowledge is based on categories and similarities of selected features
Prototype:
Weighted Features: Holistic integration of features
-This is what happens when we see a creature that we are not too sure of, our brain makes a prototype to categorize it. Show a child a pic of baby bear, they will call it a dog as their prototype is furry, four legs etc
-we don’t actually have a concept of anything, we have an amalgamation of information
-store information- triggers when u see it in person. Prototype: our minds make an average and then we apply to info to those averages
What is knowledge? Semantic
Concepts: A mental representation: Idea or Meaning: dogs, cats, + pets: is a category
Feature Comparison Model
How we order our thoughts:
Defining Features + Characteristic Features(neither of these are defining of the category) and (A)typical effect.
placing exemplars based on their similarities in a space, in the far reaches of this space lays the atypical exemplars were set - what they determined the likelihood of features.
-people are faster to name atypical exemplars rather than typical
-when things are atypical -> becomes more memorable
-knowledge conflicts with memory - how we categorize exemplars based on those necessary features but how memory then plays apart in how those features are configured and how they are put together, and if they are put together in a certain way they are easier to recall
-what’s memory and what’s knowledge?? - they collide quite often
mental rep of of an idea
-a meaning/semantics of something - how we approach and senate with a certain kind of object
-concepts/templates are good how we understand information
-we are using comparisons to build a category that includes all the exemplars by using exemplars to define the category.
Defining Features:
Necessary for the meaning of the item
Characteristic Features
descriptive but not essential
(A)Typical Effect:
changes in discrimination time based on likelihood of features
-how we treat atypical exemplars
-Ostrich!
-placing exemplars based on their similarities in a space, in the far reaches of this space lays the atypical exemplars were set - what they determined the likelihood of features.
-people are faster to name atypical exemplars rather than typical
-when things are atypical -> becomes more memorable
-knowledge conflicts with memory - how we categorize exemplars based on those necessary features but how memory then plays apart in how those features are configured and how they are put together, and if they are put together in a certain way they are easier to recall
Concepts: Semantic Networks:
Hierarchical Model (Collins & Quillians, 1969)
-Association between
-Concepts: integration
-Properties: traits -> dependent on context
-we create works for things
-the super ordinate category: more abstract: what is a _____. <- prototypes
-Basic level: partly abstract and partly concrete. Tree, flower, bird, fish, and humans.
-sub originate category: has and is _______. <- exemplars
-we can take something abstract and make it concrete: rock -> hammer (changing the category)
-depending on context will determine how we behave and react to seeing at cat or dog, we will treat them differently.
Reasoning, Heuristics, and Algorithms:
reasoning relies on semantics networks and use concrete examples and conceptual ideas ->
-Reasoning: Grouping strategy based on critical features
Heuristics: Develop solution, quick; error-prone, superficial (perceptual): choose answer and move backwards9good for ill defined problems), forming sub goals, and fast and more intuition and recalling similar problems in your head.
Algorithms: apply rule, slow; accurate, logical(cognitive)Opposite of Heuristics. slow(contemplate) less error probes as you catch eh errors before they happen
—Availability -easily remembered is more probable
—Representativeness -similarity with other instances
—Probability -reliant on knowledge of parameters/likelihood
Cognition:
Mental processes of thinking and knowing
What Distinguishes humans from other animals?
Language and thought characteristics
Language and Speech:
-A set of symbols used to communicate
-The expression of language through sound
Language Production and Language Comprehension
-LP: the structured and conventional expression of thoughts through words
-LC: the processing of understanding spoken, written, and signed language
Phoneme and Phonology
-The smallest unit of sound in language; an individual sound such as ba, da, or ta
-The study of how individual sounds or phonemes are used to produce language
Language Structure: Linguistics
Phonemes, Morphemes, Syntax, and Pragmatics
Morpheme and Semantics:
-The Smallest units conveying meaning
-The study of how meaning in language is constructed of individual words and sentences.
Categories
are abstract and determined by experience with exemplars
Creativity
is most related to algorithms