Continual Learning: The Next Generation of Artificial Intelligence

Daniel G. Philps

Foresight: The International Journal of Applied Forecasting, 2019, issue 55, 43-47

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2019:i:55:p:43-47

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