This short editorial is based on a draft of “Model of Models” [1] parts of which were contained within a recent paper [2].

  Artificial Intelligence (AI) approaches to handling data in complex systems has greatly benefited from methods of Deep Learning (DL). Several decades ago, concerns developed that Neural Net AI approaches when they offered too little nformation to explain the "why" or "how" they worked to process data. This was considered to be very important to deal with future events, outliers, etc.

References

1. Ingber L. “Model of Models (MOM)”. Report 2018: MOM. Lester Ingber Research (2018a).
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4. Ingber L. “Ideas by Statistical Mechanics (ISM)”. Journal Integrated Systems Design and Process Science 11 (2007): 31-54.
5. Ingber L. “AI and Ideas by Statistical Mechanics (ISM)”. In: Encyclopedia of Artificial Intelligence, ed. J.R. Rabunal, J. Dorado & A.P. Pazos. Information Science Reference (2008): 58-64.
6. Ingber L. “Very fast simulated re-annealing”. Mathematical Computer Modelling 12.8 (1989): 967-973.
7. Ingber L. “Adaptive Simulated Annealing (ASA)”. Global optimization C-code. Caltech Alumni Association (1993a).
8. Ingber L. “Adaptive Simulated Annealing, In: Stochastic global optimization and its applications with fuzzy adaptive simulated annealing”. ed. H.A. Oliveira, Jr., A. Petraglia, L. Ingber, M.A.S. Machado and M.R. Petraglia Springer (2012): 33-61.
9. Ingber L. “Simulated annealing: Practice versus theory”. Mathematical Computer Modelling 18.11 (1993b): 29-57.
10. Atiya AF., et al. “A reinforcement learning method based on adaptive simulated annealing”. In: Proceedings International Midwest Symposium on Circuits and Systems (MWCAS), IEEE CAS (2003).

Citation

Citation: Lester Ingber. “Model of Models (MOM)”.Acta Scientific Computer Sciences 2.1 (2020): 21-22.

Copyright

Copyright: © 2020 Lester Ingber. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.