Human Thought Modeling: A Model Based Approach to Machine Intelligence

This book is a collection of original, independent and ground-breaking pure research performed by the author in the field of artificial intelligence. The work spans three decades and is the result of considerable reflection on the subject matter. The author decided to break with his three decades of silence and publish his work. This is the first time this work has been published anywhere in the world.

The author has successfully reverse-engineered natural language to unlock the secrets of the mind. These are put forward in a thesis and documented in precise detail in this book. The author has also invented multiple fractal computers, Patent Pending. These function in two dimensions, like the human mind, or any other higher dimension.

This research led the author to create a brain model. This brain model is a theoretical model that simulates brain function. The model starts from first principles and builds these to form advanced concepts that can be used to create powerful machines. The work encompasses learning contexts, expert contexts, fuzzy sets, spirals, double helix structures, sequencing, definition threads, pairs, concurrence, interfaces, transformation and normalization. How do all of these combine to form intelligent machines? You will need to read the book.

What are the similarities with DNA? Is the higher level organizing principle of a thought meme the double helix? Are these the blueprints for a real working artificial human brain? Please read the book to find out. Specific examples are included.

The author has worked extensively in software engineering and currently architects and engineers mission critical virtual machine systems in the US.