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Behaviorism
concerned with what they could directly observe and measure primarily stimulus and response
Classical conditioning
pavlov’s dogs, unconditioned stimulus (food) gets turned into conditioned stimulus (bell), unconditioned response (salivation) gets turned into conditioned, neutral stimulus was the bell; conditioning doesn’t last and eventually will lead to extinction
Factors encouraging the emergence of the cognitive approach
computer technology (analogy way of thinking of the mind; similar processes such as retrieving info), information theory, work of noam chomsky
Information theory
helped frame the way we think of mental processes
Introspectionism
rely on participants to be the source of the data, explain what’s going on in their own minds; short lived because of limitations and flaws
Noam Chomsky (and his critique of B.F. Skinner's Verbal Behavior)
skinner’s main argument was stimulus control; main argument against was about proper nouns; strength of responses might not always be the same
Operant conditioning
learning driven by reinforcement, associates action with a consequence
Turing Machines (meaning to cognitive science)
early example of computer technology
Unconditioned/conditioned/neutral stimulus/response
Unit 2 - Experimental methods
2015 Open Science Collaboration
testing replication of psychological science, findings weren’t good; cognitive and social psych were involved and it was both their faults
Computational models
extends from a mathematical model but often uses computer resources
Marr's three levels of analysis
1st level is computational theory: what is happening and why is it happening; 2nd level is representation and algorithm: by what abstract processes does this occur; 3rd level is hardware implementation: what are the physical things that allow this phenomenon to function (neuroscientists handle this level)
Mathematical models
represented by equations or mathematical expressions that represent a phenomena in the world; weber’s law, steven’s power law, shepard’s law, and tversky’s contrast model
Objective and subjective variables
objective not subject to opinion, subjective is
Replication
Visual models
more about explanation; flow displays are the most common forms; communicating theories in easily understandable ways
Unit 3-4 - Perception
Depth cues
monocular (interposition, linear perspective, size constancy (relies on motion), relative size, texture gradient, motion parallax) and binocular (convergence, stereopsis)
Feature detection theory
break the object down into its features so if you know the parts you know what it makes up
Geons
shapes
Gestalt psychology and Gestalt principles
the whole is more than the sum of its parts; principles: figure ground, similarity, proximity, good continuation, common region, closure; principle of good gestalt (brings all the previous ones together)
Global precedence effect
Marr's low- and high-level vision -
Steven's Power Law
relationship between perceived intensity and objective intensity
Structural theory
more consistent with the Gestalt principles; parts and the relationships between the parts
Template matching theory
based on what we already know we identify objects in the world
Weber's Law
relates just noticeable difference (JND) to the original intensity of a stimulus
Unit 5 - Similarity Assessment
Shepard's universal law of generalization
inverse relationship between subjective similarity and distance in psychological space
Tversky's contrast model
based on common features and uncommon features