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Toward Human-Level Artificial Intelligence : = How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Toward Human-Level Artificial Intelligence :/ Eitan Michael Azoff.
Reminder of title:	How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /
remainder title:	How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI
Author:	Azoff, E. Michael
Published:	Boca Raton, FL :CRC Press, : c2025.,
Description:	xv, 176 p. :ill. (some col.) ; : 25 cm.;
Subject:	Artificial intelligence. -
ISBN:	9781032831305 (hbk.) :

Toward Human-Level Artificial Intelligence : = How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /
Azoff, E. Michael

Toward Human-Level Artificial Intelligence :How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AIEitan Michael Azoff. - 1st ed. - Boca Raton, FL :CRC Press,c2025. - xv, 176 p. :ill. (some col.) ;25 cm.

Includes bibliographical references and index.

Chapter 1 AI and machine learning. Chapter 2 Elements of neural networks history. Chapter 3 Brain properties. Chapter 4 Cognitive processes. Chapter 5 Time and space in the brain. Chapter 6 Theories of consciousness. Chapter 7 Neurorobotics: Embodied AI. Chapter 8 Engineered brain architectures. Chapter 9 AI hardware. Chapter 10 The possibility of creating HLAI.Chapter 11 Methods to build HLAI. Chapter 12 Beyond HLAI.

Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book's mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader todelve deeper; much of the survey coverage isof recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence. Diffuse decision making by ensembles of neurons. The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn). A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning. The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.

ISBN: 9781032831305 (hbk.) :NT4736Subjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q335 / .A96 2025

Dewey Class. No.: 006.3 / A996

Toward Human-Level Artificial Intelligence : = How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /
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245 1 0 $a Toward Human-Level Artificial Intelligence : $b How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI / $c Eitan Michael Azoff.
246 3 0 $a How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI
250 $a 1st ed.
260 # $a Boca Raton, FL : $b CRC Press, $c c2025.
300 $a xv, 176 p. : $b ill. (some col.) ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Chapter 1 AI and machine learning. Chapter 2 Elements of neural networks history. Chapter 3 Brain properties. Chapter 4 Cognitive processes. Chapter 5 Time and space in the brain. Chapter 6 Theories of consciousness. Chapter 7 Neurorobotics: Embodied AI. Chapter 8 Engineered brain architectures. Chapter 9 AI hardware. Chapter 10 The possibility of creating HLAI.Chapter 11 Methods to build HLAI. Chapter 12 Beyond HLAI.
520 # $a Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book's mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader todelve deeper; much of the survey coverage isof recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence. Diffuse decision making by ensembles of neurons. The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn). A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning. The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.
650 # 0 $a Artificial intelligence. $3 559380
650 # 0 $a Neurosciences. $3 593561