Introduction

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation.

Application and Topics

It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.

Updates and New Content

Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.