商品詳細

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.