David B. Fogel

David B. Fogel (born February 2, 1964) is a pioneer in evolutionary computation.Fogel received his Ph.D. in engineering from the University of California, San Diego in 1992. He is currently Chief Scientist at Trials.ai, and holds other founding positions at Natural Selection, Inc., Color Butler, Inc., and Effect Technologies, Inc., the maker of the patented EffectCheck sentiment analysis software tool. He has advised several AI companies in the areas of B2B lead generation, logistics, and employee retention, as well as other areas.

Quotes

• The dream of the intelligent machine is the vision of creating something that does not depend on having people preprogram its problem‐solving behaviour. Put another way, artificial intelligence (AI) should not seek to merely solve problems but should rather seek to solve the problem of how to solve problems. This chapter seeks to provide a focused explication of particular methods that indeed allow machines to improve themselves by learning from experience and to explain the fundamental theoretical and practical considerations of applying them to problems of machine learning. To begin this explication, the discussion first goes back to the Turing Test. The acceptance of the Turing Test focused attention on mimicking human behaviour. A human may be described as an intelligent problem‐solving machine. The idea of constructing an artificial brain or neural network has been proposed many times.
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