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Building Intelligent Systems: A Guide to Machine Learning Engineering by Geoff Hulten

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©  Geoff Hulten 2018
Geoff HultenBuilding Intelligent Systemshttps://doi.org/10.1007/978-1-4842-3432-7_17

17. Representing Intelligence

Geoff Hulten
(1)
Lynnwood, Washington, USA
 
Intelligence maps between context and predictions, kind of like a function call:
<prediction> = IntelligenceCall(<context>)
Intelligence can be represented all sorts of ways. It can be represented by programs that test lots of conditions about the context. It can be represented by hand-labeling specific contexts with correct answers and storing them in a lookup table. It can be represented by building models with machine learning . And, of course, it can be represented by a combination of these techniques.
This chapter will discuss the criteria for deciding what representation ...

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