Dealing with complexity and the curse of dimensionality

 A (the?) major problem for AI systems and researchers is the issue of how to deal with complexity.*  In A.s.a. H. we make use of :

1. Hierarchical levels of abstraction, organization   2.  Division of labor, specialization, modularity  3. Attention mechanisms  4. Forgetting  5. Parallel processing  6. Approximations, heuristics, good enough processing and responses  7. Training curricula  8. Preprocessing and postprocessing  9. Data cleaning  10.  Feature extraction  11.  Sensitivity analysis  12. Analogy  , etc.                            

*See, for example, Universal Artificial Intelligence, M. Hutter, Springer, 2005.