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cognitive psychology
study of intelligent behaviour by investigating how people think, learn, remember, forget, speak write, pay attention, problem solve
why do we have to observe behavior to infer thought?
because cognition is mostly unconscious
the mind body problem
how can output of the soul (mind) be related to the body
what inspired the scientific study of the mind?
early research regarding perception
Wilhelm Wundt
the first psychologist and founder of structuralism
who brought Wundt’s ideas to America?
Edward Titchener
analytic introspection
scientific observation of internal stuff/events breaking down the conscious experience into smaller components
what was the issue with Wundt’s research techniques?
saying that his methods were unreliable because his research was not replicable
what ideas did Wundt first develop?
experimentation, attention, memory and language
William James
father of american psychology and founder of functionalism
wrote the principles of psychology
functionalism
interested in studying the purpose of thought rather than its elements and concerned with prediction and control through direct observation
what are the 4 key principles of the scientific method?
empiricism, testability, determinism and parsimony
behaviourism
way to study publicly observable functions of the mind
Ivan pavlov
founder of classical conditioning
John Watson
concerned with behavior as a series of stimuli and responses where brain processes are unimportant animals are used as a model for human behaviour
B F Skinner
founder of operant conditioning
operant conditioning
first a behavior is performed then it is reinforced by reward or punished
E.C Tolman
believed that behavior is not just a result of cause and effect but learning can be latent (no reward or punishment)
structuralism
what we are thinking of?, studying the contents on consciousness
empiricism
how we can study something we cant see
determinism
have to assume that everything has a cause
ok for study of consciousness but not ok if you believe that it arises from the soul
testability
how you can test something that isnt physical
parsimony
drawing the simplest conclusion and you can replace it if you have evidence that proves you wrong
black box
idea that whatever is happening in the mind doesn’t matter (not that Watson believes there is nothing going on just that we don’t need to know in order to understand behavior)
behavioural maze
different arms are hallways that have chambers on the end
exploration stage: they let the rats roam freely around the maze
testing stage: they have a path from chamber A to B (reinforcement by giving reward), then rat is put in chamber C and turned to go to chamber B without learning
what does the behavioral maze experiment prove?
that latent learning occurs because the mice were able to try a new route they were not explicitly taught due to the creating of a cognitive map in the exploration stage
Noam Chomsky
believed that language was innate and not simply a result of stimulus and response
poverty of the stimulus argument
the argument that children are not exposed to rich enough data within their linguistic environments to acquire every feature of their language
Alan Turing
created the Turing machine which was the first computer program
Turing Machine
goal was to carry out what the human mind can do
computer
machine that uses a function to produce an output based on an input
Newell and Simon
first to design a non war computer called the logic theorist program
logic theorist program
designed to show mathematical proofs but the proofs weren’t programmed into the machine
first demonstration of a thinking machine
Ulrich Neisser
relied heavily on the ideas of computer science and coined the term cognitive psychology
thought psychologists could propose models to explain unobservable mental functions, make predictions and test them using computers
representationalism
describes how the unobservable mind can act on the real world, thought is caused by the brain and the brain is physical
aboutness
a mental representation of the thing in our mind that stands in for the real world
computation
assumes the mind is an information processor
marr
vision scientist influential in early computer vision, ultimately human minds are doing the same thing as a computer and that maybe it is just computational
symbol system
representational cause it stands for something and computational because it is manipulated according to rules
Newell and Simon think of the mind like this
the biological perspective
believes information is represented as patterns of activity between interconnected neurons in a way similar to the brain
embodied cognition
study of cognition as we interact with the world
connectionism
alternate theory of computing that is based on the idea that information is carried in connected neuron like units
information as a pattern of activation spread across units
grounding problem
the fact that if you only use symbol systems you replace it with another and so on but you cant get to the root meaning of it because it is grounded in the real world
computers are symbol systems but humans arent
case studies
studying individuals extensively over a period of time often who suffer brain damage
correlational studies
cant give causal information but defines the presence or absence of a relationship between two variables
experiments
allow us to infer causation by testing a hypothesis that the independent variable causes a change in the dependent variable
computer simulations
can find out if there is the same process a human can do
confounding variables
things that effect the dependent variable that are not controlled
quasi experiments
experiments where you cant randomly assign participants to groups
how are confounding variables avoided
by random assignment and random sampling
perception
the study of how the external world gets represented in our brain/mind so that we can understand and act upon what’s going on around us
what do observations from patients with agnosia tell us?
gives us an indication of the processing that occurs during vision
visual agnosia
deficit in object recognition despite normal vision
agnosia
deficit in recognition despite normal vision
apperceptive agnosia
unable to name, match or discriminate visually presented objects, cant combine basic visual information into complete percepts so they show deficits in copying
where is brain damage typical in patients with apperceptive agnosia?
in the occipital lobe
where is brain damage typical in patients with associative agnosia?
in the inferior temporal lobe
associative agnosia
cannot associate a visual pattern with meaning so they can’t recognize what they see but can combine features into a whole so they are good at copying
what are 3 separate steps to visual perception?
input/sensation
basic visual components assembled
meaning is linked to visual input
the experience error
the false assumption that the structure of the world is directly given from our senses
what demonstrate the experience error?
visual illusions (we don’t always see an accurate representation of a visual stimulus)
what is the impression we end up getting from the experience error?
a continuous image of the world and however our eyes follow a series of fixation saccade cycles
fixation saccade cycles
when your eyes going from one object to another and the brief point in the middle where your eye is pretty much stationary and all visual input occurs
smooth pursuit
when your eyes follow an object
saccade
when your eyes jerk going from one object to another, vision is suppressed, no conscious vision and you just a blur then our vision is turned of but perception is continuous due to memory
input sensation
receptors are picking up the signal and sending it to your brain (lost in apperceptive agnosia)
simultaneous contrast illusion
when a shape is the same shade of grey but the surroundings alter the appearance of the same image
light from above heuristic
tendency for people to assume that light comes from above and use this assumption to interpret and make judgments about visual stimuli
computational approach
concerned with discovering how the brain represents and interprets the distal stimulus, the classic cognitive approach and the idea that cognition is additionally representational
distal stimulus
the actual physical stimulus, physically objective dimensions of the viewed object
gestalt approach
uses organizational principles to create a meaningful perception of the environment
what approach is action focused?
gestalt and perception/action approach
what approach is recognition focused?
the computational one is
perception/action approach
assumes the goals of action to help determine perception
bottom up processing
we take in all the bits and pieces in order and step by step put them together to get the full picture (data-driven)
top down processing
starts with basic input but you don’t have to follow every step in order, use past knowledge to skip steps (computationally driven)
template matching theory
we have a mental stencil for an array of different patterns and we match the input we receive to the template
feature matching
we have a system for analyzing each distinct feature of a visual item, only describes letter perception
Selfridge’s pandemonium model (feature matching)
demon assigned to each step of recognition and theres a tally of how much input received per step and send it to output cognitive demon. Then they listen to input and start shouting louder and louder for each piece of input received
physiological evidence for feature matching theory
feature detector neurons in the primary visual cortex
who proposed the feature matching theory
Selfridge
recognition by components
same idea as the feature matching theory but we have geons and its a matter of taking the input and breaking them into geons them putting them together to perceive the whole image
geons
basic 3D shapes that are view point invariant due to non accidental properties
non accidental properties
properties that belong to the geon and as long as we can see them we can recognize an object at any angle
who proposed the recognition by components theory?
Biederman
what was Biederman wrong about?
thought that the issue was that humans can recognize an object from every object but computers cant and have to be programmed to do so
non canonical view points
unusual angles
why was biedermann wrong?
because humans have a viewer centered bias
viewer centered bias
object recognition is faster from familiar viewpoints and cortical neurons demonstrate viewpoint specifity
what are the arguments against bottom up/feature theories?
they cant explain within category discrimination because recognition patterns depend on top down affects too
single feature analysis takes a long time
what can gestalt rules help with?
they identify characteristics of perception that help determine which component of a stimulus groups together to predict what will be perceived
law of proximity
if items are close together they will be grouped together
law of similarity
items that are similar in anyway will be grouped together
law of common region
items that are enclosed together in a common region are grouped together
ambient optic array
structure imposed on light by the environment and contains all information we need for perception, light that enters our eye after interacting with objects
what is the flow in optic array
the observer is in motion and the direction of flow is indicated by the direction of movement
optic flow
change in optic array
Gibson
wanted to know about perception for action and said that we recognize things based on object affordances
said there was no representation
object affordances
the interaction between an object and an individual body, what the object tells us about how to use it
what is necessary to pick up the information from optic array?
motion