Toward human-level artificial intelligence: how neuroscience can inform the pursuit of artificial general intelligence or general AI
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 resea...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2025
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Ausgabe: | First edition |
Schlagworte: | |
Zusammenfassung: | 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 to delve deeper; much of the survey coverage is of 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 |
Beschreibung: | 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 |
Beschreibung: | xv, 175 Seiten Illustrationen, Diagramme 234 mm |
ISBN: | 9781032831305 9781032829074 |
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500 | |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 to delve deeper; much of the survey coverage is of 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 | ||
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author | Azoff, E. Michael |
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id | DE-604.BV049878622 |
illustrated | Illustrated |
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isbn | 9781032831305 9781032829074 |
language | English |
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owner_facet | DE-29T |
physical | xv, 175 Seiten Illustrationen, Diagramme 234 mm |
publishDate | 2025 |
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publisher | CRC Press |
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spelling | Azoff, E. Michael Verfasser (DE-588)1076373895 aut Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI Eitan Michael Azoff First edition Boca Raton ; London ; New York CRC Press 2025 xv, 175 Seiten Illustrationen, Diagramme 234 mm txt rdacontent n rdamedia nc rdacarrier 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 to delve deeper; much of the survey coverage is of 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 bicssc / Automatic control engineering bicssc / Neurosciences bicssc / Biomedical engineering bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / SCIENCE / Life Sciences / Neuroscience bisacsh / PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology bisacsh / TECHNOLOGY & ENGINEERING / Robotics bisacsh / COMPUTERS / Programming / Algorithms Erscheint auch als Online-Ausgabe 978-1-003-50786-4 |
spellingShingle | Azoff, E. Michael Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI bicssc / Automatic control engineering bicssc / Neurosciences bicssc / Biomedical engineering bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / SCIENCE / Life Sciences / Neuroscience bisacsh / PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology bisacsh / TECHNOLOGY & ENGINEERING / Robotics bisacsh / COMPUTERS / Programming / Algorithms |
title | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI |
title_auth | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI |
title_exact_search | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI |
title_full | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI Eitan Michael Azoff |
title_fullStr | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI Eitan Michael Azoff |
title_full_unstemmed | Toward human-level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general AI Eitan Michael Azoff |
title_short | Toward human-level artificial intelligence |
title_sort | toward human level artificial intelligence how neuroscience can inform the pursuit of artificial general intelligence or general ai |
title_sub | how neuroscience can inform the pursuit of artificial general intelligence or general AI |
topic | bicssc / Automatic control engineering bicssc / Neurosciences bicssc / Biomedical engineering bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / SCIENCE / Life Sciences / Neuroscience bisacsh / PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology bisacsh / TECHNOLOGY & ENGINEERING / Robotics bisacsh / COMPUTERS / Programming / Algorithms |
topic_facet | bicssc / Automatic control engineering bicssc / Neurosciences bicssc / Biomedical engineering bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / SCIENCE / Life Sciences / Neuroscience bisacsh / PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology bisacsh / TECHNOLOGY & ENGINEERING / Robotics bisacsh / COMPUTERS / Programming / Algorithms |
work_keys_str_mv | AT azoffemichael towardhumanlevelartificialintelligencehowneurosciencecaninformthepursuitofartificialgeneralintelligenceorgeneralai |