Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language (Dover Books on Computer Science)

With the advent of ChatGPT (Chat Generative Pretrained Transformer), a natural language generation model developed by OpenAI, artificial intelligence is transforming the way we interact with the world around us, from content to virtual reality. In this book, the author delves into both the economic implications and benefits that come along with AI development while exploring how to ensure it serves humanity's best interests. Additionally, convincing arguments are presented as to why human-level AI could be essential for our survival and prosperity.

Can machines have human-level intelligence? How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author.

The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. 

Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness.

Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach.
 

• HIGHER-LEVEL MENTALITIES OF HUMAN INTELLIGENCE – Artificial intelligence is often described as a machine that can think like a human. But what does that actually mean? This book explores the various higher-level mentalities of human intelligence and how they can be replicated in AI.
• ARTIFICIAL INTELLIGENCE NATURAL LANGUAGE – One of the main obstacles to achieving human-level AI is replicating the way humans process information. This book proposes a new approach to AI development, using a natural language of thought based on the unconstrained syntax of English.
• DESIGN-INSPECTION ALTERNATIVE TO THE TURING TEST – The Turing Test is often used to determine whether a machine can think like a human. But it's not the only way to measure artificial intelligence. This book offers an alternative test called design inspection, which assesses how well an AI system can understand natural language.

Philip C. Jackson, Jr. has a Ph.D. for a thesis on artificial intelligence, and has extensive experience in software design and development. He is the founder of TalaMind LLC, conducting research toward human-level artificial intelligence, and the author of Introduction to Artificial Intelligence: Third Edition, also published by Dover Publications, Inc.

Philip C. Jackson, Jr. has a Ph.D. for a thesis on artificial intelligence, and has extensive experience in software design and development. He is the founder of TalaMind LLC, conducting research toward human-level artificial intelligence.