Artificial Intelligence, Simulation, and Modeling

Artificial intelligence and simulation overlap increasingly as computer hardware prices fall and software sophistication increases. Artificial intelligence programming methods permit more realistic and robust simulation models and help the user develop, run, and interpret simulation experiments. Simulation algorithms permit expert systems to reason about complex models that change over time or include interacting stochastic elements. This article describes basic concepts in artificial intelligence and highlights expected benefits in each field over the next decade.

# Simulation Techniques and Applications # Decision Sciences # Artificial Intelligence Applications # Computer Science # Multi-Agent Systems and Negotiation

Lawrence E. Widman, Kenneth A. Loparo (1990). "Artificial Intelligence, Simulation, and Modeling". INFORMS Journal on Applied Analytics. https://doi.org/10.1287/inte.20.2.48