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

Author:   Eitan Michael Azoff
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032831305


Pages:   176
Publication Date:   18 September 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Toward Human-Level Artificial Intelligence: How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI


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Overview

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 in-depth surveys of neuroscience and AI research related to the book's mission, providing 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.

Full Product Details

Author:   Eitan Michael Azoff
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.460kg
ISBN:  

9781032831305


ISBN 10:   1032831308
Pages:   176
Publication Date:   18 September 2024
Audience:   College/higher education ,  Professional and scholarly ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Eitan Michael Azoff, PhD, is Chief Analyst at Cloud and Data Center Research Practice, Omdia, part of Informa.

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