A theory of modelling.
A model is a representation of some aspect of the world (target system). Using that simplified representation, we can explain, deduct, compute, relate, operate in an abstract world, and connect those results with the real world.
Note: A model of reality is, fundamentally, an affirmation about reality — often a composite affirmation built from more basic, fundamental affirmations. However, this is not always strictly the case: in effective models, some components of the model may not correspond directly to affirmations about reality, but serve as computational or conceptual tools. Still, in general, the model as a whole represents an affirmation about reality.
En esta imagen se nota cierta vulgaridad; no he encontrado algo mejor.
A complex system as an extensive collection of components locally interacting in which the properties of the whole can not be understood in terms of the properties of the constituents.
Math Expressions -> Can Model Many Things Syntax -> Multiple Semantics
A model is a representation of some aspect of the world (target system). Using that simplified representation, we can explain, deduct, compute, relate, operate in an abstract world, and connect those results with the real world.
A model in engineering it’s a representation of the specifications.
Humans knowledge / mental models are all about simplifying and compressing.
Models are composed of three elements: - Denotation, - Demonstration, - Interpretation.
Modeling principles involve simplifying complex systems into conceptual representations, utilizing abstraction, precision, and relevance to understand and predict system behavior effectively.
Modeling is about describing nature, not necessarily providing insight; much of science is simply modeling.
Black Box Models: Treat a system as an input-output relationship, focusing on observed inputs and outputs without explicit knowledge of the internal mechanisms.