Roles of models in the production of knowledge.
• A model is a very clove to the central metaphor for Tok – The map
• A working definition of a model is a dynamic simplified representation of reality.
• So a model is a map of reality that can evolve over time
• Models are systematic

Model possess the features of systems:
They depend on the relationship between their parts
They exhibit emergent properties
Dynamic – evolving over time
Stable – incentive to small CHANGES
Employ feedback mechanisms
Exhibit leverage.

Emergent properties: What occurs when all the parts work together to give you a functionality for example : human conscious

Three categories of knowledge question arising form the modeling process:
Type 1 :extracting relevant data from the real world
Type 2: use of the appropriate model.
Type 3: interpreting the results of the model back into the real world

Choose a model associated with the human or natural sciences:
Identify knowledge questions associated with:
1. The extraction of data from the real world (observation)
2. Choosing and using the model
3. Interpreting the results back into the real world.

Economics: How sure can be about data generated from financial situations that are privately owned.
To what extend, does the demand and supply curve explain the markets in a specific country? CHOOSING A MODEL MAY BE CULTURALLY DEPENDING.

Geography: How do you know the rate of the data seen on based on documentations? DATA MINISING AND EXTRACTION.
How can we determine when and where can the model be applied?

Mathematics: Correlation and diseases over time period in the area of mathematics of statistics.

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