國立虎尾科技大學 |

登入

回首頁

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Toward Human-Level Artificial Intelligence :/ Eitan Michael Azoff.
其他題名:	How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI /
其他題名:	How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI
作者:	Azoff, E. Michael
出版者:	Boca Raton, FL :CRC Press, : c2025.,
面頁冊數:	xv, 176 p. :ill. (some col.) ; : 25 cm.;
標題:	Neurosciences. -
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:

593561
Neurosciences.

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 /
LDR:03170cam a2200217 a 4500 001 1136185
008 241218s2025 flua b 000 0 eng d
020 $a 9781032831305 (hbk.) : $c NT4736
020 $a 9781032829074 (pbk.)
020 $z 9781003507864 (ebk.)
035 $a (NhCcYBP)1c12a588597c4acd8763b50d7823c2f69781003507864
040 $a TL $b eng $c TL $d NFU $e AACR2
050 # 4 $a Q335 $b .A96 2025
082 0 4 $a 006.3 $b A996 $2 23
100 1 $a Azoff, E. Michael $q (Eitan Michael) $3 1458405
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 Neurosciences. $3 593561
650 # 0 $a Artificial intelligence. $3 559380