Building Intelligent Systems: A Guide to Machine Learning Engineering

©  Geoff Hulten 2018

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

17. Representing Intelligence

Geoff Hulten¹ 

(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 ...