Toward Human-Level Artificial Intelligence

How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI
1. Auflage 2024
ISBN: 978-1-032-82907-4
Verlag: Taylor & Francis

Buch, Englisch, 192 Seiten, Format (B × H): 153 mm x 237 mm, Gewicht: 351 g

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.

Zielgruppe

Academic, General, Professional Practice & Development, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Azoff, Eitan Michael

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

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

Über Autor(innen)

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