THE TURING TEST STUDIES IN COGNITIVE SYSTEMS VOLUME 30 EDITOR James H. Fetzer, University of Minnesota, Duluth ADVISORY EDITORIAL BOARD Fred Dretske, Stanford University Charles E. M. Dunlop, University of Michigan, Flint Ellery Eells, Univeristy of Wisconsin, Madison Alick Elithom, Royal Free Hospital, London Jerry Fodor, Rutgers University Alvin Goldman, University ofA rizona Jaakko Hintikka, Boston University Frank Keil, Cornell University William Rapaport, State University of New York at Buffalo Barry Richards, Imperial College, London Stephen Stich, Rutgers University Lucia Vaina, Boston University Terry Winograd, Stanford University THE TURING TEST The Elusive Standard of Artificial Intelligence Edited by JAMES H. MOOR Dartmouth College, Hanover, U.S.A. SPRINGER-8CIENCE+BUSINESS MEDIA, B.V. A C.I.P. Catalogue record for this book is available from the Library of Congress. ISBN 978-1-4020-1205-1 ISBN 978-94-010-0105-2 (eBook) DOI 10.1007/978-94-010-0105-2 Photograph of "The Universal Electronic computer", reproduced by kind permission of P.N. Furbank, Alan Turing's executor. Printed an acidlree paper Ali Rights Reserved © 2003 Springer Science+Business Media Dordrecht Originally published by Kluwer Acadcmic Publishcrs in 2003 Softcover reprint of the hardcover lst edition 2003 No pact of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. CONTENTS Origins of the articles vii Preface ix 1. HISTORY B. JACK COPELAND, The Turing Test 1 AYSE PINAR SAYGIN, ILY AS CICEKLI, V AROL AKMAN, Turing Test: 50 Years Later 23 2. INTERPRETATION SUSAN G. STERRETT, Turing's Two Tests for Intelligence 79 SAUL TRAIGER, Making the Right Identification in the Turing Test 99 GUALTIERO PICCININI, Turing's Rules for the Imitation Game 111 3. CRITICISM SEAN ZDENEK, Passing Loebner's Turing Test: A Case of Conflicting Discourse Functions 121 BRUCE EDMONDS, The Constructibility of Artificial Intelligence (as Defined by the Turing Test) 145 EDMUND M.A. RONALD, Intelligence is not Enough: On the Socialization of Talking Machines 151 VI CONTENTS 4. DEFENSE WILLIAM J. RAPAPORT, How to Pass a Turing Test 161 LARRY HAUSER, Look Who's Moving the Goal Posts Now 185 JAMES H. MOOR The Status and Future of the Turing Test 197 5. ALTERNATIVES SELMER BRINGSJORD, PAUL BELLO, DAVID FERRUCCI, Creativity, the Turing Test, and the (Better) Lovelace Test 215 GERALD J. ERION, The Cartesian Test for Automatism 241 S. HARNAD, Minds, Machines and Turing 253 ORIGINS OF THE ARTICLES Selmer Bringsjord, Paul Bello, David Ferrucci: Creativity, the Turing Test, and the (Better) Lovelace Test, in: Minds and Machines 11(1): 3-27; Feb 2001 B. Jack Copeland: The Turing Test, in: Minds and Machines 10(4): 519-539; Nov 2000 Bruce Edmonds: The Constructibility of Artificial Intelligence (as Defined by the Turing Test), in: Journal of Logic, Language and Information 9(4): 419-424; Oct 2000 Gerald J. Erion: The Cartesian Test for Automatism, in: Minds and Machines 11(1): 29-39; Feb 2001 S. Hamad: Minds, Machines and Turing, in: Journal of Logic, Language and Information 9(4): 425-445; Oct 2000 Larry Hauser: Look Who's Moving the Goal Posts Now, in: Minds and Machines 11(1): 41-51; Feb 2001 James H. Moor: The Status and Future of the Turing Test, in: Minds and Machines 11(1): 77-93; Feb 2001 Gualtiero Piccinini: Turing's Rules for the Imitation Game, in: Minds and Machines 10(4): 573-582; Nov 2000 William J. Rapaport: How to Pass a Turing Test, in: Journal ofL ogic, Language and Information 9(4): 467-490; Oct 2000 Edmund M.A. Ronald: Intelligence is not Enough: On the Socialization of Talking Machines, in: Minds and Machines 11(4): 567-576; Nov 2001 Ayse Pinar Saygin, Ilyas Cicekli, Varol Akman: Turing Test: 50 Years Later, in: Minds and Machines 10(4): 463-518; Nov 2000 Susan G. Sterrett: Turing's Two Tests for Intelligence, in: Minds and Machines 10(4): 541-559; Nov 2000 Saul Traiger: Making the Right Identification in the Turing Test, in: Minds and Machines 10(4): 561-572; Nov 2000 Sean Zdenek: Passing Loebner's Turing Test: A Case of Conflicting Discourse Functions, in: Minds and Machines 11(1): 53-76; Feb 2001 PREFACE In 1950 Alan Turing (1912-1954) published his famous article, "Computing Machinery and Intelligence" in the journal Mind. This article is arguably the most influential and widely read article in the philosophy of artificial intelligence. Indeed, most of the debate in the philosophy of artificial intelligence over the last fifty years concerns issues that were raised and discussed by Turing. Turing's genius was not only in developing the theory of computability but also in understanding the impact, both practical and philosophical, that computing machinery would have. Turing believed that computers, if properly designed and educated, could exhibit intelligent behavior, even behavior that would be indistinguishable from human intelligent behavior. His vision of the possibility of machine intelligence has been highly inspiring and extremely controversial. In this classic article Turing presented his well known imitation game and predicted that about the year 2000 "an average interrogator will not have more than 70 per cent chance of making the right identification after five minutes of questioning" in the imitation game. Based on the results of the Loebner 2000 contest and the accomplishments in the field of AI, as impressive as they are, Turing's prediction remains unfulfilled. Therefore, this is an appropriate time to reassess the Turing test. How should the Turing test be understood in light of recently published materials by Turing? What is the status of traditional criticisms of the test? Can the Turing test be defended against such criticisms? What are new criticisms of the test? Are there superior tests that might replace the Turing test? What is the significance of the Loebner contests? Does the Turing test have a future in AI or has it outworn its usefulness? For fifty years the Turing test has been the elusive standard in artificial intelligence. Should it be a standard in artificial intelligence at all? Why hasn't it been passed? And what conclusions should we draw if it were passed? This book contains insightful papers that address the basic issues about the nature and viability of the Turing test. The book has the most recent scholarship on the subject and yet provides an overview of the last half century debate about the merits of test. The book should serve as an aid to scholars and a guide to students. Of course, it is also intended as a tribute to Alan Turing, a mathematician and philosopher much ahead of his time. James H. Moor The Turing Test* B. JACK COPELAND The Turing Archive for the History of Computing, University of Canterbury, Private Bag 4800, Christchurch, New Zealand and Dibner Institute for the History of Science and Technology, Massachusetts Institute of Technology, Cambridge MA 02139, USA; E-mail: [email protected] Abstract. Turing's test has been much misunderstood. Recently unpublished material by Turing casts fresh light on his thinking and dispels a number of philosophical myths concerning the Turing test. Properly understood, the Turing test withstands objections that are popularly believed to be fatal. 1. Introduction: The State of Machine Intelligence Circa 1950 The birth of Artificial Intelligence is usually placed at approximately 1956, the year in which a program written by Newell, Simon, and Shaw -later named the Logic Theorist - successfully proved theorems from Whitehead and Russell's Principia Mathematica, and also the year of John McCarthy's Dartmouth Summer Research Project on Artificial Intelligence, the conference which gave the emerging field its name. However, this received view of the matter is not historically accurate. By 1956, computer intelligence had been actively pursued for some 10 years in Britain - under the name machine intelligence - and the earliest AI programs to run were written there in 1951-52. That the earliest work in the field was done in Britain is in part a reflection of the fact that the first electronic stored-program digital computers to function were built in that country (at Manchester University (the MUC, 1948) and Cambridge University (the EDSAC, 1949». Another significant factor was the influence of Turing on the first generation of computer programmers. Turing was thinking about machine intelligence at least as early as 1941 (D. Michie, personal communication, 1998). He is known to have circulated a typewrit ten paper on machine intelligence among his wartime colleagues at the Govemment Code and Cypher School, Bletchley Park. Now lost, this was undoubtedly the earliest paper in the field. It probably concerned machine learning and heuristic problem-solving. Both were topics that Turing discussed extensively during the war years at GC & CS, as was mechanical chess. In 1945, Turing expressed the view that a computer 'could probably be made to play very good chess' (1945: 41). Turing's 'Proposal for Development in the Mathematics Division of an Auto matic Computing Engine (ACE), (Turing, 1945), which was written at the National Physical Laboratory, London, between October and December 1945, was the first relatively complete specification of an electronic stored-program general-purpose digital computer. The slightly earlier - and better known - 'First Draft of a Re port on the EDVAC' contained little engineering detail, in particular concerning .... Minds and Machines 10: 519-539,2000. 1 .,,, © 2001 Kluwer Academic Publishers.
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