Artificial Intelligence is a vast research field in computer science, whose major premise is to find connections between the workings of computing machines and biological brains. At the same time, being such a large and sometimes controversial field, an exhaustive listing of exactly what properly consitutes AI can be quite challenging to compile. In ARIES, the tools of AI show up throughout the system.
| Our semantics-preserving knowledge representation engine |
| Pattern classification and scale-finding technologies |
| Models built as probabilistic belief networks operate in conditions of uncertainty and data scarcity |
| Rule engine guides the automatic building of models under landscape and user-specific conditions |
| Relationships between model elements are learned from empirical data |
| Bayesian decision analysis for forecasting and comparing scenarios |
| Constraint optimization capabilities to select optimal development strategies |