This book takes a holistic and systems approach to Artificial Intelligence (AI) and the Mind-Brain Problem. Artificial Intelligence is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software.This wide breath of many sciences makes AI sometimes difficult for everyone to understand. So, what is Artificial Intelligence? Theoretically, this research solves the mind-brain problem with computing hardware and software/algorithms, initially investigated as far back as Socrates and Plato.

Artificial General Intelligence (AGI) refers to a hypothetical AI with human-level cognitive abilities to simulate the operations of the human brain.As a result, the brain has to understand, learn, and apply knowledge across diverse human-types of tasks.Researchers and developers in this field, as well as the public, would like to see a machine or robot that can walk, talk, and understand the world at the same time.
General Systems Theory (GST) provides a framework to study open systems like AGI. GST is not too general nor too specific and will transform inputs into outputs through computation.

Systems Engineering integrates all of the various disciplines and specialty topics into a structured development process that proceeds from concept to production to operation, similar to today’s production systems found in the military or aerospace fields. AGI, as a system, is a purposeful collection of inter-related components (weak AI) working together towards some common objective. Systems is an engineering discipline that focuses on the design and application of the whole (system) as distinct from its parts. It involves looking at a problem in its entirety, considering all the different facets and variables spanning social to technical issues. AGI is about the integration of AI technologies and implemented with an architecture that sets the framework for the various pieces.

This book expands on the integration of the various AI technologies into a complete design, working on a solution that operates closer to how the human mind could work.We use system theory to support the integrated requirements and an AGI architecture that makes sense of today’s technologies using a Blackbox approach. This work would be a good starting point for developing AGI in general. Each of the core AI technologies would operate asynchronously: perception, natural language processing, reasoning, generative AI, problem solving and robotics (physical AI).The AI Sciences forms the foundation of the core technologies required, basically built on the neural network and symbolic manipulation using logic and mathematics.

This book also describes the state-of-the-art of these AGI components: 1) Knowledge and representation, 2) Perception, 3) Natural Language, 4) generative AI, 5) reasoning, 6) problem solving, and 7) robotics (physical AI) in an easy-to-understand format. These separate AI technologies are integrated into something we call the AGI Executive, which is based on an agent design.Maybe the most important chapter of this book deals with all the interfaces, which is critical to systems engineering, especially the interactions between adjacent AI components.The resulting emergent properties could solve open issues with consciousness and sentience.

The book closes with some final thoughts on the Turing Test, singularity, sentience, machine understanding and common sense, and finally, affective computing.

Wendell Chun has 33 years of aerospace and space robotics/AI experience with Lockheed Martin Space Systems Company in Denver, Colorado, performing a wide and diverse range of engineering disciplines from test engineering and mechanical engineering to systems engineering to software engineering and to conceptual design. Wendell is currently an assistant professor at the University of Denver , teaching for 25 years (including previous roles in teaching at the Colorado School of Mines and the University of Colorado in Denver).  Having worked intimately in the robotics field for over 40 years, he has been a member of a number of world-leading robot research and development projects (rovers, manipulators, autonomous navigation) and he was the Vehicle Systems Management (VSM) software architect on the NASA Orion Crew Exploration Vehicle (CEV) program, having responsibility for automation & autonomy, health & status, fault detection & isolation, mission planning, resource management, etc.  In his last assignment at Lockheed Martin, he was onsite support at NASA Goddard Space Flight Center on a robotic satellite demonstration on space station, and development work on a future ofa satellite servicing robot (writing a report to the US Congress on the same). 

He is currently a senior advisor to the Office of Environmental Management within the Department of Energy, in its effort to include robotics and artificial intelligence as a promising new technology for maintenance and cleanup of nuclear waste.He was Faculty Director in the University of Denver’s Ritchie School of Engineering and Computer Science, managing the Graduate Program in Systems Engineering.In addition to having expertise in engineering design and systems engineering, he currently teaches a variety of workshops around the world in:

·Mobile Robots (Chair and Editor of the SPIE Mobile Robot Conferences)

·General Robotics and AI (Board of Trustee for AUVSI, Assoc. Editor IEEE ICRA, History Channel’s Modern Marvels)

·Developing a self-driving car for the DOT National Automated Highway System Consortium (NAHSC)

·Drone Designs (sponsored through the AIAA USPC)

·Space Robotics and Artificial Intelligence Workshops (through Launchspace, Inc. and through AIAA conferences)

·Spacecraft, especially satellite servicing and flight hardware development (Invited to the National Smithsonian Air & Space Museum for a robotic demonstration).

He also advises and mentor students on careers in robotics and AI, and governments on the future of technology through being a subject matter expert reviewer and by developing national roadmaps.He has authored over seventy publications (including a chapter in the Handbook of Robotics (a leading academic reference) on Robot Surveillance and Security, and was awarded close to a dozen patents in advanced mobility, stabilizing ships in rough water, and collaborative schemas in aerial-ground robot autonomous navigation.