Robots, Reasoning, and Reification
Robots, Reasoning, and Reification focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots:the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data
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ROBOTS, REASONING, AND REIFICATION
“Where is my Robot?”
L.F. Gunderson Gamma Two, Inc. Denver, Colorado, USA J.P. Gunderson Gamma Two, Inc. Denver, Colorado, USA
Authors L.F. Gunderson Gamma Two, Inc. 209 Kalamath Street Unit 13 Denver, CO 80223, USA [email protected]
ISBN: 978-0-387-87487-6
J.P. Gunderson Gamma Two, Inc. 209 Kalamath Street Unit 13 Denver, CO 80223, USA [email protected]
e-ISBN: 978-0-387-87488-3
DOI: 10.1007/978-0-387-84816-7
Library of Congress Control Number: 2008934306 © 2009 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper springer.com
While in principle everything may be under strict control within the machine, the remote space-time surroundings are in the general case known to the system by extrapolation only, that is predicted with some uncertainty. As psychological functionalism, when actually carried out, has thus been found to be forced into probabilism, a cybernetics with ecological involvement must contain probabilistic elements. – Egon Brunswik, 1950
Preface
This work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book is a small step on that path, which we hope leads to robots that can serve as true and useful assistants to humans. At the least, we hope for some help with the tasks that are described by the 3 d**** words (dull, dirty, or dangerous). Fair warning, this work is a synthesis of ideas from many disciplines. As such, we have depended on the work of many other researchers and philosophers. The heart of this work, the lens model, comes from the work of Egon Brunswik. Even though he died in the 1950’s, his ideas are still strong enough to resonate into the 2000’s and into our robot. Another researcher who’s work has greatly influenced this work is Walter Freeman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different fields. Our huge thanks to all the researchers who’s work we used to synthesize this new theory. Denver, CO July 2008
Louise F. Gunderson James
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