Part 5: Modelling Flashcards

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.

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2
Q

Target:

A

A target is what a model aims to represent.

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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”

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4
Q

Purpose dependence:

A

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

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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.

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6
Q

Positive analogy:

A

Similarity between model and target.

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7
Q

Negative analogy:

A

Dissimilarity between model and target.

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8
Q

Neutral analogy:

A

Property of model, whose occurrence in target is not known.

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9
Q

Epistemic virtues of models:

A

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

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10
Q

Simplicity:

A

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

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11
Q

Robustness:

A

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

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12
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.

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13
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.

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14
Q

Simplicity:

A

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

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15
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.

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16
Q

Transparency:

A

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

17
Q

Mirror models:

A

A model with high similarity to target.

18
Q

Isolation model:

A

A model with high simplicity.