Comp. Models of the Mind II c Flashcards
A collection of 9 advantages of computational cognitive modelling:
- increase in clarity
- sufficiency proof
- thorough evaluation possible
- unifying principles may be discovered
- complex dynamic interaction
- generative power of local rules (-> emergence of complex behavior)
- bootstrapping of development of theories
- precise quantitative predictions
- generalizability
Advantages - Increase in clarity through:
- specification of representation
- complitness and consistency of model
- all parameters and relationships must be fully specified
The following requirements in cognitive modelling can lead to …?
- specification of representation
- complitness and consistency of model
- all parameters and relationships must be fully specified
- > revealing of hidden assumptions
- > explication of hidden assumptions
- > revealing of unexpected/counter-intuitive consequences
Building a computational model is at the same time a sufficiency proof of …
… internal coherence and completness of underlying theory
A collection of 5 disadvantages of computational cognitive modeling:
- Irrelevant specification problem
- selectivity (not everything fits into models)
- skills required to access and understand programs
- Bonini’s paradox
- Assumption of invariability
- may miss creative, flexible, non-standard activity
What is the irrelavant specification problem about?
Strong impact of design decisions regarding theoretically irrelavant details, such as data structure
What does Bonini’s paradox say?
As a model of a complex system becomes more complete, it becomes less understandable or as difficult to understand as the represented real-world phenomenon
A very good practice in comp cognitive modeling is …
… Validation!!
What is validation about?
Validation is about how adequately the model reflects the aspects of the real world it has been designed to model.
3 ways to validate a model:
- explicate how much a model restrains the data
- report data variability: verify real-world data agree also with outcomes ruled out by the model
- show there are plausible results the model cannot fit
Marr’s levels can help to identify/distinguish the _________ of a model.
Marr’s levels can help to identify/distinguish the DOMAIN of a model.
In cognitivism: Cognition involves …
… computations over internal representations.
In cognitivism: Informatin about the world is abstracted by …
… perception and represented via symbolic data structures.
In cognitivism: How would a typical sequence of precessing look like?
perceive - reason - plan - act
Issues in cognitivist models:
- system blindness: constrained by (idealised) human perspective and capabilities
- brittleness of system: breakdowns due to semantic gaps
- issues with sensing: inherently uncertain, incomplete
