eBook Calculus of Thought, 1st Edition

  • Published By:
  • ISBN-10: 0124104525
  • ISBN-13: 9780124104525
  • DDC: 612.8
  • Grade Level Range: College Freshman - College Senior
  • 272 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
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Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. This book is inspired by the Calculus Ratiocinator idea of Gottfried Leibniz, which is that machine computation should be developed to simulate human cognitive processes, thus avoiding problematic subjective bias in analytic solutions to practical and scientific problems. The reduced error logistic regression (RELR) method is proposed as such a "Calculus of Thought." This book reviews how RELR’s completely automated processing may parallel important aspects of explicit and implicit learning in neural processes. It emphasizes the fact that RELR is really just a simple adjustment to already widely used logistic regression, along with RELR’s new applications that go well beyond standard logistic regression in prediction and explanation. Readers will learn how RELR solves some of the most basic problems in today’s big and small data related to high dimensionality, multi-colinearity, and cognitive bias in capricious outcomes commonly involving human behavior. Provides a high-level introduction and detailed reviews of the neural, statistical and machine learning knowledge base as a foundation for a new era of smarter machines.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Calculus Ratiocinator.
2: Most Likely Inference.
3: Probability Learning and Memory.
4: Causal Reasoning.
5: Neural Calculus.
6: Oscillating Neural Synchrony.
7: Alzheimer’s and Mind–Brain Problems.
8: Let Us Calculate.
Notes and References.