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Continual Learning: The Next Generation of Artificial Intelligence

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  • Daniel G. Philps

Abstract

Dan Philps provides an introduction to automated machine learning and its possible next-generation realization, continual learning (CL). CL advances the state of the art by attempting to automatically learn different tasks while retaining knowledge from previous model implementations. This article presents an application of CL to investment decisions. It also offers the interesting perspective that complexity is not simply a technical characteristic of a model formulation, but also a resultant of the application of human judgment. Although CL may be more technically complex than many forecasting models, it reduces if not eliminates the complexity from judgmental human inputs.

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  • Daniel G. Philps, 2019. "Continual Learning: The Next Generation of Artificial Intelligence," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 55, pages 43-47, Fall.
    • Handle: RePEc:for:ijafaa:y:2019:i:55:p:43-47
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