Principles for modeling Decision Making are five as follow explain each one with example word count (300): 1. The Baker Criterion: The inputs to all decision rules in models must be restricted to information actually available to the real decision makers.

2. The decision rules of a model should conform to managerial practice.

3. Desired and actual conditions should be distinguished. Physical constraints to the realization of desired outcomes must be represented.

4. Decision rules should be robust under extreme conditions. 5. Equilibrium should not be assumed. Equilibriumand stability may (or may not) emerge from the interaction of the elements of the system.