Chapter 5 Flashcards

Modelling

1
Q

Representation

A

Something is a representation of something else if it stands in for that thing, meaning we use or investigate that thing instead of what we are really interested in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Target

A

A target is that which a model aims to represent

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Idealization

A

The fact that a model is an idealization of its target means that it does not have all the properties that the target has, and vice versa

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Purpose dependence

A

A model can only be justified on the basis of how useful it is for fulfilling a certain purpose

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Analogy

A

Inference by analogy is to state that a conclusion in one case applies to another case due to there being relevant similarities between the cases

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Positive analogy

A

Similarity between model and target

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Negative analogy

A

Dissimilarity between model and target

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Neutral analogy

A

Property of model, whose occurrence in target is not known

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Epistemic virtues of models

A

Types of properties of models that determine the quality of a model, given a specific purpose

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Similarity

A

The degree to which the model has several properties which the target also has (there are multiple positive analogies) that are relevant for the modelling purpose

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Robustness

A

A model is robust with respect to an assumption if changing this assumption does not change the model result

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Parameter precision

A

One model has higher parameter precision than another model, if the specifications of the parameters of the first model implies the parameter specifications of the second

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Simplicity

A

One model is simpler than another model if it contains less parameters than another model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Tractability

A

A model is computationally tractable only if its result can be computed in polynomial time. A model is analytically tractable only if the model result can be obtained through valid deduction, from the model assumptions alone. A model is theoretically tractable only if the model is either computationally or analytically tractable, and some of the necessary computational or deductive steps are justified with reference to a background theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Transparency

A

A model is epistemically transparent if the model user is cognitively capable of understanding how the model result is produced

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Mirror models

A

A model with high similarity to target

17
Q

Isolation model

A

A model with high simplicity