Cognitive science exam psych 3139B UWO Questions With Detailed Answers
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Course
Cognitive science
Institution
Cognitive Science
Cognitive science exam psych 3139B UWO Questions With Detailed Answers
Goals of cognitive science - Answer-1. Representations and processes in our minds that underwrite cognitive capacities like perception reasoning language memory etc
2. How they ^ are acquired and how they develop
3. How th...
Cognitive science exam psych 3139B
UWO Questions With Detailed Answers
Goals of cognitive science - Answer-1. Representations and processes in our minds
that underwrite cognitive capacities like perception reasoning language memory etc
2. How they ^ are acquired and how they develop
3. How theyre implemented in underlying hardware
/.William wundt - Answer-Father of psychology founded the first psych lab
/.2 most important figures of behaviourism - Answer-Watson and Skinner
/.Problems with behaviourism to study the mind - Answer-- learning about the mind is
NOT important
- studies what we SEE we cannot see what goes on in mind
- making prediction about behaviourism does not show their inner thoughts
- poor explanatory power doesn't explain WHY someone does something
/.George Miller - Answer-Made information processing model
Magic number 7 plus or minus 2
/.Information processing - Answer-Encodes info (input) to processing and storing
information to outputs
/.Turing machines - Answer-Device with infinite tape, simple processor, read and write
head
Simple early version of thinking about how computers - input to output
/.Goal of AI - Answer-Make machines that are like us
/.Machine learning - Answer-Method to achieve AI
People develop algorithms to classify data
Data can be images sound text etc
/.Neuron - Answer-Thing that holds a number
/.Turing test - Answer-Imitation game to test if a computer is an "intelligent" being
Asks Qs by typing and then determine who's a human and who's a machine
Example = CAPTCHA where you have to type words and click "I'm not a robot"
/.Algorithm - Answer-If.... then statement to teach computer something
/.Neural networks - Answer-Feeding computer program large number of digits as
training data
, /.Marrs level of analysis - Answer-Computational
Algorithmic
Implementational
/.Computational level of analysis marr - Answer-The what and why
What function is the system serving?
/.Algorithmic level of analysis marrs - Answer-The how
Representation and algorithmic
/.Implementational level of analysis marrs - Answer-How can the second level be
realized physically - hardware implementation
/.Difference between mind and AI - Answer-Mind is: flexible, multi purpose, not
specifically engineered and has great generalization, we learn from just a few examples
/.Intuitive physics engine Tenenbaums approach - Answer-Building blocks ex. Input to
IPE: scene to stimulation to scene to simulation 3. Outputs: will it fall? What direction
/.Prediction by simulation - Answer-TENEBAUMS APPROACH
build in some elementary physical rules - generate own sample by simulation and
assign probabilities to outcomes
/.Types of articles - Answer-Empirical
Review
Theoretical
Commentaries
/.Commentaries - Answer-Usually short pieces where there's a published article and
someone agrees disagrees or makes a point
/.Multi experiment paper - Answer-Most common paper in psychology
Has a main Q and also offers alternative explanations
Extending the main results to another population paradigm etc
Intro of individual experiment tells you why
/.PNAS - Answer-Proceedings of the national Academy of Sciences
Study methods at the end or in supplementary information or appendix
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