Models and descriptions

Wikipedia defines some important characteristics of models and descriptions. On model it says:

A model in science is a physical, mathematical, or logical representation of a system of entities, phenomena, or processes. Basically a model is a simplified abstract view of the complex reality.

For the scientist, a model is also a way in which the human thought processes can be amplified.

Models in software allow scientists to leverage computational power to simulate, visualize, manipulate and gain intuition about the entity, phenomenon or process being represented

And description is:

The purpose of description is to re-create, invent, or visually present a person, place, event, or action so that the reader may picture that which is being described.

Clearly models and descrptions play sperate roles. Models are used for abstractions and recognizing objects, events and concepts from data. Descriptions describe data. Models help us in recognizing ‘concepts’ in data and extending them to define new models and concepts. Descriptions help in preparing and saving details of a specific concept or object or event.

I am finiding that sometimes these two things are confused in communities that are trying to extend frontiers of knowledge in computing.

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