Simulation is important for artificial intelligence because it provides solutions to some of the main problems faced by AI developers today. These solutions have immediate potential and are producing results already.
Simulation is specifically useful for AI development in three key areas: training data, examining AI behavior, and providing learning environments. AnyLogic’s white paper Artificial Intelligence and Simulation in Business explores the three areas and demonstrates, with examples, how general-purpose simulation and artificial intelligence work together.
A business case shows how AnyLogic simulation and machine learning are already in use. While an example model showcases simulation as a training environment for a neural network. The example model accompanies the white paper so you can try it for yourself. You can compare your trained policy against optimization or even against your own judgement.
Artificial intelligence and simulation are powerful technologies that together can overcome business challenges more effectively and efficiently than before. Download the paper, discover how AI and simulation can be used together, and deepen your understanding of these technologies.
Other AnyLogic whitepapers:
- Developing Disruptive Business Strategies with Simulation — How modeling helps to analyze and optimize business strategies.
- An Introduction to Digital Twin Development — What are digital twins, how to create them, and client projects using AnyLogic digital twins.
- Multimethod simulation modeling for business — Overview with Guided Model Building Example
- Simulation Software Comparison — Discrete event simulation competitors
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