Intro Flashcards
L1:
What are the learning objectives of Cog Psych Lecture 1: “Intro”?
- Discuss the philosophical foundations of cognitive psychology and their legacy (behaviourism, informational processing)
- Understand the distinction between data and theory (data, paradigms and theories)
- Explain the centrality of representations in cognitive psychology (representation, processing)
- Recognise how theories are developed (prediction specificity)
- Understand Newell’s critique of psychology and his proposed solutions
- Understand the role of formal models in theory development (computational modelling)
L1:
Define cognition
The conscious mental processes (such as thought, experience, and the senses) involved in knowing, learning, and understanding things
Cognition is a function of the brain
L1:
Define cognitive psychology
the study of mental processes such as; attention, language, memory, perception, problem solving, decision making/ reasoning
L1:
What is behaviourism? Definition and Examples
Building psychology by measuring only the observable.
E.g. Skinner, Harlow, Ainsworth etc
L1:
What is behaviourism?
Legacies
Building psychology by measuring only the observable.
E.g. Skinner, Harlow, Ainsworth etc
This way of investigating psychology has left legacies…
- Measurement and explanation of phenomena in terms of behaviour
- Animal models
- Simple explanations
- NO introspective methods
L1:
Outline information processing
The computer metaphor: seeing the mind as an information processor
A common idea as a way of understanding the mind. Idea that if you are going to talk about cognition and thoughts, a way of understanding thoughts is thinking of them as information and mental activity as computation/ calculation.
Information processing is a metaphor inspired by computers as a way of thinking about thoughts, but it’s also an approach – a way of asking questions.
L1:
What is representationalism?
The basic aspect of the approach is that knowledge is represented in our minds such that cognitive processes can “operate” on the representations e.g. if we see a documentary on owls, we might update the representations that we have (images, connotations, the word, opinions etc).
The representationalist approach arose from computer and information processing models of cognition. Info is stored on computers as 0s and 1s, much like the way in which neurons operate, by either firing or not firing at any given moment.
…
Not as simple as straight input and output, you can convert representations into each other e.g. say the word owl, think about them, imagine them –> converting from auditory representation into visual image. You can also operate on representations – put them into or bring out of memory, connect them with other representations etc.
Example: phonological representation in working memory
Paradigm - test with dual-task interference or using similar sounding items, basically testing what form information is stored in ST/WM by trying to interfere with it using dual tasks/ similar info.
Two kinds of interference; visuospatial (tapping on desk) and auditory (duh, dah repeated).
When trying to remember a series of digits, stored in phonological code (sounds), process operating on it is rehearsal, if rehearsal is interfered with (with auditory interference) then recall is worsened. With phonologically similar words, it’s harder to form distinct memories of the words individually as they interfere with each other.
L1:
Explain the distinction between data and theory
Data is the evidence
A theory is a claim about what the data means (about concepts, abstracts, predictions)
L1:
Outline why theories require models
Can’t just ask yes or no questions about psychology, need to build theories
L1:
What were Alan Newell’s suggestions for what psychologists should do?
- Have formal models - not just box and arrow diagrams
- Theories need to be about cognition, not tasks
- Need general models that can be applied to multiple tasks.
- Complete processing models - have formal, comprehensive models, with control processes, (rather than partial ones most commonly used) in order to specify subjects’ methods during experimentation
- Analyse a complex task - accept a single complex task and do all of it (rather than designing small experiments to test small questions)
- One program for many tasks - (different to 2) staying with the small experiments to solve small questions method, to improve this we could construct a single system to perform them all (all the small experiments).
L1:
Outline the meaning of Empiricism
The principle that the key to understanding things is through systematic observation
L1:
Outline the meaning of Determinism
The principle that behaviours have underlying causes and that understanding involves identification of what these causes are and how they’re related to the behaviour of interest.
L1:
Outline the meaning of Testability
The principle that theories must be stated in ways that allow them to be evaluated through observation.
L1:
Outline the meaning of Parsimony
The principle to prefer simple explanations over more complex ones.
L1:
What are commonly used measures in cognitive psychology?
- Accuracy - common where there are either right or wrong responses. Can be about the number and kinds of errors you make not just how many items you correctly recall.
- Response Time - how long it takes to respond to a stimulus, techniques such as priming and eye movement measurements are regularly used.