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John H. Andreae - An AGI Brain for a Robot

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An AGI Brain for a Robot is the first and only book to give a detailed account and practical demonstration of an Artificial General Intelligence (AGI). The brain is to be implemented in fast parallel hardware and embodied in the head of a robot moving in the real world. Associative learning is shown to be a powerful technique for novelty seeking, language learning, and planning. This book is for neuroscientists, robot designers, psychologists, philosophers and anyone curious about the evolution of the human brain and its specialized functions.

The overarching message of this book is that an AGI, as the brain of a robot, is within our grasp and would work like our own brains. The featured brain, called PP, is not a computer program. Instead, PP is a collection of networks of associations built from J. A. Fodors modules and the authors groups. The associations are acquired by intimate interaction between PP in its robot body and the real world. Simulations of PP in one of two robots in a simple world demonstrate PP learning from the second robot, which is under human control.

Both Professor Daniel C. Dennett and Professor Michael A. Arbib independently likened the book An AGI Brain for a Robot to Valentino Braitenbergs 1984 book Vehicles: Experiments in Synthetic Psychology. Daniel C. Dennett, Professor of Philosophy and Director of Center for Cognitive Studies, Tufts University. Author of From Bacteria to Bach and Back: The Evolution of Minds.

Michael Arbib, a long time expert in brain modeling, observed that sometimes a small book can catch the interest of readers where a large book can overwhelm and turn them away. He noted, in particular, the success of Valentino Braitenbergs Vehicles (for which he wrote the foreword). At a time of explosive interest in AI, he suggests that PP and its antics may be just the right way to ease a larger audience into thinking about the technicalities of creating general artificial intelligence. Michael A Arbib, Professor Emeritus of Computer Science, Biomedical Engineering, Biological Sciences and Psychology, University of Southern California. Author of How the Brain Got Language.

Robots seem to increasingly invade our lives, to the point that sometimes seems threatening and other-worldly. In this small book, John Andreae shows some of the basic principles of robotics in ways that are entertaining and easily understood, and touch on some of the basic questions of how the mind works. Michael C. Corballis, Professor of Psychology, University of Auckland. Author of The Recursive Mind.

A little book that punches far beyond its weight. Nicholas Humphrey, Emeritus Professor of Psychology, London School of Economics. Author of Soul Dust: The Magic of Consciousness.

A bold and rich approach to one of the major challenges for neuroscience, robotics and philosophy. Who will take up Andreaes challenge and implement his model? Matthew Cobb, Professor of Zoology, University of Manchester. Author of The Idea of the Brain.

Here is a book that could change the direction of research into artificial general intelligence in a very productive and profitable way. It describes a radical new theory of the brain that goes some way towards answering many difficult questions concerning learning, planning, language, and even consciousness. Almost incredibly, the theory is operational, and expressed in a form that couldand shouldinspire future, novel, research in AI that transcends existing paradigms. Ian H. Witten, Professor of Computer Science, Waikato University. Author with Eibe Frank of Data Mining: Practical Machine Learning Tools and Techniques.

John H. Andreae: author's other books


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An AGI Brain for a Robot John H Andreae with Robot Cats by Gillian M Andreae - photo 1
An AGI Brain for a Robot

John H. Andreae

with Robot Cats by Gillian M Andreae

Copyright Academic Press is an imprint of Elsevier 125 London Wall London EC2Y - photo 2

Copyright

Academic Press is an imprint of Elsevier

125 London Wall, London EC2Y 5AS, United Kingdom

525 B Street, Suite 1650, San Diego, CA 92101, United States

50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States

The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, United Kingdom

2021 Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

ISBN 978-0-323-85254-8

For information on all Academic Press publications visit our website at https://www.elsevier.com/books-and-journals

Publisher: Nikki Levy

Acquisitions Editor: Natalie Farra

Editorial Project Manager: Sam Young

Production Project Manager: Punithavathy Govindaradjane

Cover Designer: Richard Roberts

Robot cat illustrations: Gillian Andreae

Typeset by SPi Global India List of Figures Figure 1 One Step Events - photo 3

Typeset by SPi Global, India

List of Figures
  1. Figure 1 One Step: Events, Event-types, and Modules
  2. Figure 2 Short Term Memory
  3. Figure 3 Neuron for Association 1GA
  4. Figure 4 Part of a Network
  5. Figure 5 Basic Cycle
  6. Figure 6 Plan Cycle
  7. Figure 7 The World
  8. Figure 8 The Reflex Motion Algorithm
  9. Figure 9 Hierarchies of Action-Predicting Groups
  10. Figure 10 Event-Types and Delays of Speech Action Groups
  11. Figure 11 Choosing Groups
  12. Figure 12 Four steps from the Interaction
  13. Figure 13 What robot A says in the first 200 steps
  14. Figure 14 The Successes of PP (robot B) in the first 200 steps
  15. Figure 15 Steps when Cake or Roll is Squashed
  16. Figure 16 A Short Plan on Step 146
Preface

The writing of this book was triggered by a remark of Dan Dennett. I was much encouraged by his approval 2 years later. Generous support for publication of the book was also given by Michael Arbib and Ian Witten. David Hill, Andy Barto, my son Peter, and an anonymous reviewer sharpened my ideas. My daughter Gillian did a lot more than provide the cats. She and Suzanne Brown showed me how to cater for the general reader. My wife, Molly, spent many hours correcting my English, pointing out flaws in my logic, and supporting me, as she has done for the past 67 years.

My interest in Artificial Intelligence (AI) goes back a long way, but my research career didnt start with AI. After graduating in Electrical Engineering in 1948 at Imperial College, I joined John Lambs research group studying fast chemical equilibria in liquids using ultrasonic waves, and, with a PhD, continued the research in ICIs Akers Research Laboratories, Old Welwyn, North of London. My publications from that era have been cited more than my AI research, but ICI suddenly closed the laboratories in 1961. Eric Ash, a fellow student from undergraduate days, found a job for me with Standard Telecommunication Laboratories in Harlow, Essex. From a list of topics offered by Len Lewin, I was unable to resist the appeal of The Electronic Simulation of Cerebral Functions.

My first learning machine was published in 1963 and called STeLLA after the name of the laboratories. Peter Joyce built STeLLA, using post office relays because transistors werent yet generally available and vacuum tubes were too large. STeLLA moved around the laboratory floor, but the relays were too unreliable and so we had to resort to computer simulation. Brian Gaines deepened my understanding of control systems theory and stochastic computing.

With Mollys family being in Dunedin and my family having moved from India to Matamata, it was an easy decision to move to the University of Canterbury in Christchurch, New Zealand, when the opportunity arose in 1966.

Work on STeLLA continued with an attempt by Peter Cashin to make it powerful enough to handle language, but it was the mathematical ideas of John Cleary that inspired my first version of PURR-PUSS, now called PP, and my first book. Igor Aleksander enabled publication of my second book. Bruce MacDonald, Shaun Ryan, and Kon Kuiper contributed to the development of PP as recorded here and in my second book.

I am grateful to Natalie Farra of Elsevier for guiding this book through the stages of publication at a difficult time.

Many thanks to everyone who helped me with this book and in my research

Note. My daughter Gillian Andreaes robot cat illustrations first appeared, with her permission, in my Man-Machine Studies reports, 1972-1991, ISSN 0110 1188, then in my two books Thinking with the Teachable Machine and Associative Learning for a Robot Intelligence, and more recently on her commercial items.

Chapter 1: Brain, Body, and World
Abstract

PP is a robot with a brain and body like ours. The PP brain is a bare bones working brain, simplified so that we can talk about intelligence, free will, and consciousness. Modules transform the outputs of low level sensors into high level sensory events. Other modules take high level actions and control muscles. Each module handles a different event-type. Delayed event-types help the learning of language. The PP brain is a collection of associations which are acquired by the interaction of the PP brain with its body and world. The stimulus events from modules are fed into Short Term Memory. Associations, formed from contexts and actions or stimuli, are stored in Long Term Memory. Every new association is marked as a novelty goal. Novelty goals give PP free will.

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