PSYC 100 Chapter 8 Flashcards
Mental Representation
internal mental symbols standing for objects/events/states/ etc
Mental Representations are organized into…
Concepts
Concepts
knowledge/ideas about a set of objects/actions/characteristics that share core properties
Concept Hierarchy
Superordinate, Basic, Subordinate
Superordinate
Broadest category
Basic
2nd one, less broad but not super narrow
Subordinate
Narrowest category
Prototype
best example or average member of the concept;
incorporating lots of features associated with the concept
Problem-solving approaches
Trial-and-error, Algorithm, Insight
Trial-and-Error
try actions at random until finding something
that works
Algorithm
step-by-step procedure used to solve a problem
Problem-solving
Developing strategies to accomplish goals
Insight
a sudden, conscious change in understanding of the
the problem that leads to solution, aha moment
Subject to unconscious cognitive processing
Subject to mood
In what mood will Insight be best
Happier mood
Obstacles of problem-solving
Salience of surface similarities, Mental sets, Functional Fixedness
Salience of surface similarities
When we focus on the superficial properties of a problem
Mental sets
Prior problem provided a mental framework on how to solve a later problem
Could “inspire” in a certain strategy
Could also get “stuck” in a certain strategy
Functional Fixedness
Hard time realizing an object with a traditional purpose can be used another way
Can be overcome by “restructuring”
Bounded rationality
we have limited information, cognitive
resources, time, etc.
Dual Processing Theory
Controlled system vs. Automatic system
controlled system
Slow-acting system that requires conscious attention and effort and allows rational and logical thought
ex. Writing an essay, navigating an unfamiliar town, playing chess
Automatic system
A fast and effortless system allows intuitive reactions and responses
ex. reading simple sentences, driving a familiar highway, feeling disgusted at the sight of rotten food
Heuristic
Mental shortcuts used for reasoning
Representativeness heuristic
We judge the likelihood of an event by how similar it looks (“superficial similarity”) to a well-known example, base rate fallacy is neglected
Base rate
how common something is in the general population
Availability Heuristic
We judge the likelihood of an event based on the ease with which it comes to mind
Affective heuristic
We use the affection associated
with the objects/events to make
judgments and decisions about
them
Cognitive bias
Systematic error in thinking
Framing
the way a question is formed can influence the
decisions made
Confirmation bias
The tendency to look for and weigh evidence that confirms preexisting beliefs more strongly than evidence that is inconsistent with those beliefs
Hindsight bias
Tendency to overestimate how well we would have predicted something that has already happened
Language
a largely arbitrary system of communication that combines symbols in rule-based ways to create meaning
Arbitrary
made up of learned symbols
Generally, words in no way reflect what they refer to
exceptions: hieroglyphs or onomatopoeias
Structured
governed by rules, Rules may vary between languages,
but there are still rules nonetheless
generative
Expresses limitless meanings
-Allows us to convey new ideas
-Allows us to BOTH understand and create sentences never heard before
Grammar
structure of how language parts are put together
How we can (and can’t) put units at different levels together in a meaningful way
Syntax
specific grammatic rules about how words and phrases are formed into a sentence
How we can (and can’t) put words together in a meaningful way