Chapter 1, Become an Adaptive Thinker, covers reinforcement learning through the Bellman equation based on the Markov Decision Process (MDP). A case study describes how to solve a delivery route problem with a human driver and a self-driving vehicle.
Chapter 2, Think like a Machine, demonstrates neural networks starting with the McCulloch-Pitts neuron. The case study describes how to use a neural network to build the reward matrix used by the Bellman equation in a warehouse environment.
Chapter 3, Apply Machine Thinking to a Human Problem, shows how machine evaluation capacities have exceeded human decision-making. The case study describes a chess position and how to apply the results of an AI program to decision-making ...
