model
Let an agent handle models by type, purpose, assumptions, validation and limits, supporting responsible use of models in decisions.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify
Researched by: Claude
Purpose and description
Let an agent handle models by type, purpose, assumptions, validation and limits, supporting responsible use of models in decisions.
A simplified representation of a system, object, process or idea, used to describe, explain, predict or design, such as physical scale models, mathematical and statistical models, conceptual models, 3D digital models and optimisation models.
What it is for: Understanding and predicting complex systems.
It can be identify the type and purpose of a model; state its assumptions and limits; check validation against data; separate other senses such as fashion models.
Distinguishing features
Simplified representation
Built for a purpose
Rests on assumptions
Needs validation
What it looks like
Scale objects, equations, diagrams, code and 3D files.
How it is recognised
Scale models, equations, diagrams
Model documentation and assumptions
A fashion model is a person, a different sense
Related models
is a kind of - category
represents - object
is validated against - evidence
is confused with - another sense
In practice
Families and kinds
physical and scale models
mathematical and statistical models
conceptual models
computer simulation models
3D digital models
Standards and regulation
Model risk management guidance in finance
Modelling standards such as UML and SysML
Failure modes and hazards
Treating model outputs as facts
Hidden assumptions
Using models outside their valid range
Also called
+36
Where this came from
wikidata · CC0 1.0
Also registered as vr.tr.model-act
Drafted structure
Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.
Purpose Which model.
Purpose shapes design.
Type
Kind.
Type
Model type.
- What type of model is it and what is it for? definition
- Who built it? provenance
Scope
Boundaries.
Scope
Scope.
- What does the model include and leave out? definition
- Over what range is it valid? boundary
Assumptions Foundations.
Assumptions drive results.
List
Stated assumptions.
List
Assumptions.
- What assumptions does the model make? provenance
- Are they documented? boundary
Sensitivity
Robustness.
Sensitivity
Sensitivity.
- How sensitive are results to the assumptions? measurement
- Has a sensitivity analysis been done? provenance
Validation Evidence.
Models must be tested.
Data
Comparison with reality.
Data
Validation.
- How well does the model match observed data? measurement
- Was it independently validated? provenance
Uncertainty
Ranges.
Uncertainty
Uncertainty.
- How is uncertainty in outputs communicated? definition
- Are ranges given rather than single numbers? boundary
Senses Disambiguation.
Model has many senses.
Person
Fashion model.
Person
Person sense.
- Is a fashion or artist model meant? boundary
- Which entry fits? action
Product
Product model.
Product
Product sense.
- Is a product model or version meant? boundary
- Which entry fits? action
What the second pass must settle
- Should model types be separate entries?
- How should validation evidence be recorded?
- How should other senses be split off?