Machine Intelligence Volume 15

Here are the preface, acknowledgements and contents pages for volume 15 of the Machine Intelligence series. You can also go up to the Machine Intelligence main page, view the bibliographic details of this volume, or go to other volumes: 1 2 3 4 5 6 7 8 9 10 11 12 13. 14.

Preface

The Machine Intelligence series (see http://www.cs.york.ac.uk/mlg/ for
an overview), founded in 1965 by Donald Michie, is probably the most venerable
and prestigous book series in the Artifical Intelligence (AI) literature. 
Many of the best known papers in AI were published in this series. 
The series has had fourteen previous volumes to date.  Each volume
in the series is associated with a particular by-iniviation-only worskhop. 
Machine Intelligence 15 was held at St Catherine's College Oxford in July
1995 and included papers by some of the most eminent figures in AI including
John McCarhty, Donald Michie, Alan Robinson, Robert Kowlaski and Mike Genesereth
The theme of the workshop was 'Intelligent agents'.

The workshop papers represent a wide range of topics, including representations
of consciousness (John McCarhty, Stanford University and Donald Michie,
Edinburgh University), SoftBots (Bruce Blumberg, MIT Media Lab), parallel
implementations of logic (Alan Robinson, Syracuse University), machine
learning (Stephen Muggleton, Oxford University), machine vision (andrew
Blake, Oxford University), and machine based scientific discovery in molecular
biology (Mike Sternberg, Imperial Cancer Research Fund).

November 1998

Stephen Muggleton

Executive Editor

Acknowledgements

ACKNOWLEDGEMENTS

The Machine Intelligence 15 workshop was generously supported by the
Daiwa Anglo-Japanese Foundation under an agreement concluded in 1991 between
the Turing Institute, UK amd the Japan Society for Artificial Intelligence,
Tokyo.  The Foundation provided funding, covering workshops 13, 14
and 15 to defray travel and attendance costs for six Japanese and six British
scientists nominated by the respective parties.  The workshop was
also partly supported by an Angle-Japanese grant from the Royal Society
and the British Council entitled 'Computational Aids to Intellectual Discovery'.

St Catherine's College Oxford kindly provided support facilities for
the Machine Intelligence 15 workshop.  Like its predecessor, Machine
Intelligence 13, this volume reflects the vigour with which the subject
has been advanced in Japan.

Contents

 CONSCIOUSNESS AND CAUSATION

 1.  Making robots conscious of their mental states                        3
     J. MCCARTHY

 2.  A framework for verbalizing unconscious knowledge based on
     Inductive Logic Programming                                          18
     K.FURUKAWA

 3.  Legal responsibility and causation                                   25
     I.J.GOOD

 4.  Adapting Good's Q theory to the causation of individual events       60
     D.MICHIE


 COMPUTER VISION

 5.  Making robots see                                                    89
     A.BLAKE

 AGENTS THAT LEARN

 6.  A framework for behavioural cloning                                 103
     M.BAIN and C.SAMMUT

 7.  Control, skill, machine learning and hand-crafting in
     controller design                                                    130
     I.BRATKO and T.URBANCIC

 8.  Personalised mail agent using inductive logic programming            154
     F.MIZOGUCHI and H.OHWADA

 9.  An experiment with browsers that learn                               176
     R.PARSON and S.MUGGLETON

 10. Toward incremental knowledge correction for agents on complex
     environments                                                         185
     D.J.PEARSON and J.E.LAIRD

 11. The spontaneous self-organisation of an adaptive language            205
     L.STEELS

 FORMALISM AND MODELS OF LEARNING

 12. Developments in computational learning and discovery theory
     within the framework of elementary formal systems                    227
     S.ARIKAWA, M.SATO, A.SHINORA and T.SHINORA

 13. A Learnability model for universal representations and its
     application to top-down induction of decision trees                  248
     S.MUGGLETON and D.PAGE

 14. A learning mechanism for logic programmes using dynamically
     shared substructures                                                 268
     M.NUMAO, S.MORITA and K.KARAKI

 15. PAC-learning of preference relations over interpretations
     in lazy nonmonotonic reasoning                                       285
     K.SATOH

 16. Tables, graphs and logic for induction                               298
     K.YOSHIDA and H.MOTODA

 APPLIED SCINETIFIC DISCOVERY

 17. A connectionist approach to numeric-law discovery                    315
     K.SAITO and R.NAKANO

 18. Drug design by machine learning                                      328
     M.J.E.STERNBERG, R.D.KING, A.SRINIVASAN and
     S.H.MUGGLETON

 CONCURRENT DECLARATIVE PROGRAMMING

 19. Debugging for a declarative programming language                     341
     J.W.LLOYD

 20. VESPER                                                               360
     J.A.ROBINSON and J.BARKLUND

 HISTORY OF COMPUTING

 21. The Turing-Wilkinson lecture series on the Automatic Computing
     Engine                                                               381
     B.J.COPELAND

 22. A lecture and two radio broadcasts on machine intelligence
     by Alan Turing                                                       445
     B.J.COPELAND

 23. Repairs to Turing's Universal Computing Machine                      477
     D.W.DAVIES

 24. W.S.Jevons: his logical machine and work on induction and
     boolean algebra                                                      489
     J.C.SHEPHERDSON


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