4 - models in cognitive psychology Flashcards
what is a model?
a simplified (or idealised) representation of a thing
what is a statistical model?
a mathematical relationship between variables, that hold under specific assumptions
what is a theoretical model (in cognition)?
a description of the relationship between different mental processes, that makes assumptions about the nature of these processes
what is behaviourism?
sees brain as a black box that we don’t know what’s happening inside
all we can observe are the inputs and outputs
what are cognitive “box-and-arrow” models?
describe the relationship between different mental processes
under the assumption that the mind operates like multi-staged information-processing machines
how can cognitive models be tested?
manipulating the input and observing the output can provide a glimpse into the machination of our mind and allow us to test our models
what are formal cognitive models?
similar to cognitive models but includes a mathematical description of the relationship between mental processes
usually represented through computer code
what are characteristics of models?
simplification - not everything is described in a model, only critical parts
abstraction - generating general rules and concepts from information
what is the purpose of models in science?
must produce predictions and/or explanations
predictions can be directional or numerical
cognitive models give an explanation of what is happening unlike statistical models
what is the difference between a theory and a model?
theory - scientific proposition that provides relations between phenomena e.g. early-selection theory
model - schematic representation of a theory, more limited in scope e.g. Broadbent’s filter model
what is the difference between informal and formal cognitive models?
informal - a verbal description of relationship between different cognitive procedure (implicit, directional)
formal - mathematical description of relationship between different cognitive procedure, often via computer program (explicit, numerical)
what do Guest and Martin add to the theory building chain?
specification - formal description of relations described by a theory
implementation - specific instantiation of a specification (computer program)
why use formal models?
- more accurate (precise) predictions
- counter-intuitive predictions
- benefits of explicit assumptions
why are formal models more accurate (precise)?
- numerical simulation allows us to see if model provides unreasonable predictions (easy to reject bad models)
- help select which experiments to perform
- better hypothesis testing, how close a model is to predicting actual result
why are formal models better?: counter-intuitive predictions
formal models can more clearly describe which predictions follow a model
with informal models, hard to notice when they make counter-intuitive predictions