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Pierre Marquis - A Guided Tour of Artificial Intelligence Research: Vol. 3 Interfaces and Applications of AI

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Pierre Marquis A Guided Tour of Artificial Intelligence Research: Vol. 3 Interfaces and Applications of AI

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The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes:

- the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning)

- the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms)

- the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI).

This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.

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Editors Pierre Marquis Odile Papini and Henri Prade A Guided Tour of - photo 1
Editors
Pierre Marquis , Odile Papini and Henri Prade
A Guided Tour of Artificial Intelligence Research
Volume III: Interfaces and Applications of Artificial Intelligence
Editors Pierre Marquis CRIL-CNRS Universit dArtois and Institut - photo 2
Editors
Pierre Marquis
CRIL-CNRS, Universit dArtois and Institut Universitaire de France, Lens, France
Odile Papini
Aix Marseille Universit, Universit de Toulon, CNRS, LIS, Marseille, France
Henri Prade
IRIT, CNRS and Universit Paul Sabatier, Toulouse, France
ISBN 978-3-030-06169-2 e-ISBN 978-3-030-06170-8
https://doi.org/10.1007/978-3-030-06170-8
Springer Nature Switzerland AG 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Foreword From Cybernetics to Artificial Intelligence Artificial Intelligence - photo 3
Foreword: From Cybernetics to Artificial Intelligence

Artificial Intelligence (AI) is still a relatively young research area (just over half a century), but its media coverage has been massive since its inception, sometimes accompanied by polemics. Today, there is hardly any, and the AI research has been broadly diversified, as shown by the three volumes of which we have the last. This variety necessitates a historical perspective: This is what I present in this preface.

As early as 1946, the French publisher Hermann published Norbert Wieners Cybernetics or Control and Communication in the Animal and the Machine, which was a great editorial success. And in 1954, an International Congress of Cybernetics (the first one) was held in Namur and I had the chance to participate in it. Artificial Intelligence has only begun to be mentioned as a research area in its own rightor even an autonomous disciplinein the mid-fifties (1955), in the famous Dartmouth Report, written by John McCarthy, Marvin Minsky, Nathan Rochester and Claude Shannon, the founding fathers of AI. It will be followed by numerous others, as well as by congresses and colloquia on Artificial Intelligence (the baptism of which is a little later). The two domains were obviously neighbors and were often confused, and indeed the interdisciplinary boundaries with other domains such as automation, computer science and cognitive research still remain rather vague today. A vast array of AI topics and subtopics has finally developed. A synthesis like the one presented in this book is therefore welcome.

I had the privilege of being involved in the early developments of AI. First at the Atomic Energy Commission (CEA) where I headed the Analog Calculation Laboratory and then at Euratom where I had set up a Research Group on Automatic Scientific Information. The subjects we discussed at this time were, mainly:

  • Automatic documentation,

  • Automatic translation,

  • Simulation games,

  • Automatic theorem proving.

For obvious economic and political reasons, the subject of machine translation has benefited from the considerable investment but was abruptly reduced when it became apparent that our knowledge of linguistics (especially about semantics) was still insufficient to lead to acceptable results. In any case, the algorithms that we developed (the objective of which being the development of anti-combinatorial procedures) required computational resources that only a few teams could then have at their disposal. Progress was therefore rather slow, and the impatience of the decision makers was rising. It was reinforced by media excesses in which too many promises were expressed that were not kept. It is interesting to read again the popularization book, written in 1952 and published in 1953 by the NRF in the collection Lavenir de la science, directed by Jean Rostand. This book was entitled La Pense Artificielle and titled Introduction la Cyberntique. The author, Pierre de Latil, was a scientific journalist whom Norbert Wieners book had strongly impressed. Latil, in his book, emphasizes a mechanism whose research during the Second World War, especially those relating to antiaircraft defense, had shown the importance: the concept offeedback. For this concept, which is at the center of Wieners analyses, Latil suggested a happy neologism in French: rtroaction (p. 52). The concept of feedback wasimplicitly or explicitlythe basis of many automata projects that were then proposed with Ashby, Gray Walter, McCulloch, etc. The enthusiastic Latil calls these projects revolutionary, despite the modesty of their results and impact. In fact, this impact is essentially on the media and arouses old myths such as the Golem that Wiener will later evoke in God and Golem, Inc., MIT Press (1964).

A significant example of the problems that arose in the early 1960s, as well as the directions taken by research, was presented in the talk I gave at the second AFCALTI conference, the French Association of Automatic Computing in 1961. This talk was entitled Encountering numerical and non-numerical problems in the elaboration of a program dedicated to the resolution of the game of Go-bang (p. 221 of the report). It elaborated over the theme and problems of the formal representation of situations, and their evaluation, that of the paths of the trees in which they occur and of the strategies they allow to construct. We were moving from the digital era to the symbolic era.

The non-digital programming research line, which began this way, represented an important turning point in the development of electronic computing machines, previously devoted to the scientific computation which dominated space and nuclear engineering. The non-digital theme was widely discussed at the IFIP Congress on Artificial Intelligence held in Munich by Marvin Minsky in 1962. I presented a paper entitled Research on Artificial Intelligence in EURATOM, but these issues had also been discussed at the two symposia held shortly before by IBM in Blaricum (the Netherlands) with the participation of John McCarthy and many logicians. Some of the papers presented there appeared in the book I edited in 1963 with David Hirschberg at North Holland, which was published in the series Studies in Logic and the Foundations of Mathematics, Computer Programming and Formal Systems. In particular, one can find in this book an important contribution by John McCarthy: A Basis for a Mathematical Theory of Computation (p. 33) which is at the origin of the LISP programming language, as well as the famous article by Chomsky and Schtzenberger: The Algebraic Theory of Context-Free Languages (p. 118). The book I published in July 1968 at the Presses Universitaires de France (PUF), in the collection La Science Vivante, directed by Henri Laugier, under the title Intelligence Artificielle gave an update on this research results. The first of its kind, he was featured as such in the

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