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Summary - Modelling Human Behaviour (XB_0146)

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Uploaded on
January 11, 2026
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Written in
2024/2025
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Lecture 1
You define a rule for every concept that has incoming arrows.
The reason for including random (stochastic) values → To abstract from details
that are not relevant but could still influence the process.


A simulation trace shows how the state of a model changes over time, tracking
the progression of variables of conditions within the model as the simulation
runs.


Characteristic patterns
→ preferavly specify effects between concepts hat are not directly
connected.
→ formulated during the designing phase
→ meant to evaluate whether the model behaves as expected.



Lecture 4
Behaviour → range of actions in conjuction with their environment.


Two perspectives on modelling behaviour
1- External perspective
knowledge exploited as a useful means to externally explain the subject’s
behaviour without making any claim on the actual internal functioning of the
subject.




Summary 1

, 2- Internal perspective
A subject actually has knowledge, and this knowledge is used by the subject
to generate its behaviour.


Externally observable behaviour is used as “characteristic patterns” to provide
evidence for the feasability of internal descriptions.


Environmental Complexity thesis:

The function of cognition is to enable the agent to deal with environmental
complexity

The more complex the environment → the more sophisticated the behaviour
that is required to deal with the environment → the more complex the
mental representations and capabilitis needed



Stimulus-response behaviour → sensory representation
Delayed response behaviour → belief

Motivation-base → desire
Adaptive → sensory representation, sensitivity and preparations

Extended-Mind → World facts


Complexity order (not → complex)
Extended → stimulus → delayed → motivation → adaptive



Lecture 5
Emotion Contagion → Influencing others tgrough induction of emotion states


What can be improved in excel?

Some aspects are not specified

Different elements are represented in the same way

Simulation input is scattered pver different places



Summary 2
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