Calculus of Thought

Chapter 1

Calculus Ratiocinator

Abstract

There is more need than ever to implement Leibniz's Calculus Ratiocinator suggestion concerning a machine that simulates human cognition but without the inherent subjective biases of humans. This need is seen in how predictive models based upon observation data often vary widely across different blinded modelers or across the same standard automated variable selection methods. This unreliability is amplified in today's Big Data with very high-dimension confounding candidate variables. The single biggest reason for this unreliability is uncontrolled error that is especially prevalent with highly multicollinear input variables. So, modelers need to make arbitrary or biased subjective choices to overcome these ...