thinking lectures 1 and 2 recap notes on bayes when studying this! Flashcards
what is thinking?
process in the mind
organisation and manipulation of internal representations
which debate shows how different representations are formed?
rationalism vs empiricism
what is rationalism?
reason is enough for knowledge
what is empiricism?
knowledge should be created through obeservation and experience
importance of sensory observations
what do algorithms suggest about thinking?
perception doesnt directly map the physical world to the mind
instead it is an inference process, and the brain uses algorithms to construct an image of the world
how does the brain use integration for thinking?
integrates specific observations with different contextual information
what can interpretations depend on?
what we are primed with
what are the two opposing ideas for how human cognition works?
human cognition is based on Bayesian algorithms
OR
humans fail to take prior probabilities/base rate into account
what is Bayes formula for inference?
p(H1|O)= (p(H1)xp(O|H1))/p(O)
what does p(O|H1) mean?
probability of a certain observation O given that hypothesis B1 was true
(true positive)
what does p(H1) mean?
prior probability of hypothesis H1 being true
what does p(O) mean?
prior probability of making observation O
(positive)
what does P(H1|O) mean?
posterior probability of H1 being true given observation O being made
what do we use Bayes’ theorem for?
the likelihood of perceptions occuring
how can Bayes’ theorem be used for senses?
can derive how senses are combined to result in a common judgement