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Comprehensive notes on ALL Behaviour & Environment 3 lectures

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Notes from all lectures in the Behaviour & Environment 3 course: Cognition, Attitude and Motivation

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Uploaded on
October 31, 2023
Number of pages
70
Written in
2023/2024
Type
Class notes
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Bijlstra, g.
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B&E3: Cognition, Attitude, and Motivation
Lecture 1: Thinking before doing? Impulsive and reflective processes in
behavioural control

Mental representations


Thinking before doing?
- Environment activates all kinds of mental representations, and these mental
representations affect our behaviour
- Mental representation: any mental content or operation that stands for something
else in the world
o Examples: categories, exemplars, symbols, mental images, memories, truth
values, probabilities, schemas, etc.




Functions of mental representation:
- For the most part we do not first see and then define, but define first and then see
(Lippman, 1992)
o We don’t see the world objectively, but we use the mental representations we
have to interpret the world around us
 Classification
 Additional attributes
 Steering attention and interpretation
 Communication
 Thinking

,Availability & accessibility of mental representations:
- We have way more information available than accessible (at hand)
- Accessibility: the activation potential of available knowledge
o Not all information is accessible at every moment in time




Activation of mental representation:
- In this lexical decision task, participants were asked to view a makeup or chopstick
video clip and after that they had to categorise words related to women or Chinese
culture as words or non-words
- Once a category is activated, there is a heightened accessibility and participants are
therefore faster in responding (word or non-word)




How is knowledge stored in our mind?


How is knowledge stored?

 Associative network models
 Schema models
 (Predictive coding)
 Connectionist models
 Multiple format models

,  Embodied cognition
 Situated cognition


Associative network models:
- Nodes contain information and are related to one and other
- Some associations are stronger than others
- Once something is activated, it spreads activation over the other nodes




Schema models:
- Our knowledge is stored in schemas
- Perceivers ‘go beyond the information given’ (Bruner, 1957)
- Schemas operate as a lens which with we see the world around us
- We have different schemas for different situations
- Directs attention, memory, and judgement


Predictive coding:
- Bayesian processes
o Priors (expectancies) affect perception
o Prior might be different in different situations (e.g., less certain about prior
that you have about apples)
o Posterior (comparison between perception and prior)
o If the perception is different from the prior → correct prior based on what you
have experienced

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