Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.
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# Causal Models
# System Dynamics
Causal Loop Diagrams Stock Flow Diagrams Cause/Consequence (Driver) Trees Causal Impact Matrix
# Metamodels (classifications, patterns)
Cynefin VSM SOFI SD Archetypes
# Mapping (Representing)
Rich pictures Geographical Information Systems
# Simulation (Projection)
Depends whether we are simply aiming to project a behavior pattern or understand causation. The focus here is on causal models.
Spreadsheets Statistical models eg MLR, BJTF System Dynamics
# Calibration
Statistics Judgements
# Motivations
Improve your comprehension (understanding) Improve your communication Improve your community
https://en.m.wikipedia.org/wiki/Model
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