Computational model

For mathematical models of computers, see Model of computation.

A computational model uses computers to simulate and study complex systems using an algorithmic or mechanistic approach and is widely used in a diverse range of fields spanning from physics, engineering, chemistry and biology to economics, psychology, cognitive science and computer science.

The system under study is often a complex nonlinear system for which simple, intuitive analytical solutions are not readily available. Rather than deriving a mathematical analytical solution to the problem, experimentation with the model is done by adjusting the parameters of the system in the computer, and studying the differences in the outcome of the experiments. Operation theories of the model can be derived/deduced from these computational experiments.

Examples of common computational models are weather forecasting models, earth simulator models, flight simulator models, virtual cells, molecular protein folding models, computational materials models Computational Engineering Models (CEM), and neural network models.

See also

• Computational engineering
• Computational cognition
• Reversible computing
• Agent-based model
• Artificial neural network
• Computational linguistics
• Data-driven model
• Decision field theory
• Dynamical systems model of cognition
• Membrane computing
• Ontology (information science)
• Programming language theory
• Microscale and macroscale models