A comprehensive article on the Deep Blue.
The first of the series of 2010 MIT lectures. This lecture made up a course overview and an incredibly interesting look at some of the fundamental principles of game playing AI.

This second MIT lecture involved a really engaging look at the principles behind MiniMax Algorithm.

This is the sixth lecture in the series. Although all the lectures had interesting elements, this is the one where Mini Max is directly and extensively described. 

General Sources on AI

Thomas Cormen, “Algorithms Unlocked”, The MIT Press.

John MacCormick, “9 Algorithms That Changed The Future”, Princeton University Press.

Charles Pretzold, “The Hidden Language of Computer Hardware and Software”, Microsoft Press.

Simon Singh, “The Code Book”, Anchor Books.

Technical Sources on Minimax and Machine Learning

Donald Mitchie, “Experiments on the mechanization of game-learning, Part I. Characterization of the model and its parameters”

Donald Mitchie, “On Machine Intelligence”, 2nd Edition.

Stuart Russell and Peter Norvig, “Artificial Intelligence, A Modern Approach”, Pearson Education

Technical Sources for Code

Deborah Orret, “Introduction to Javascript Using p5.js”, Self published., p5 reference site.