{"id":3136,"date":"2018-05-02T09:40:06","date_gmt":"2018-05-02T07:40:06","guid":{"rendered":"http:\/\/variances.eu\/?p=3136"},"modified":"2018-05-03T13:54:52","modified_gmt":"2018-05-03T11:54:52","slug":"colloque-intelligence-artificielle-fiction-actions-quelques-lectures-savoir-plus-lhistoire-de-lia","status":"publish","type":"post","link":"https:\/\/variances.eu\/?p=3136","title":{"rendered":"Colloque \u00ab Intelligence Artificielle : fiction ou actions ? \u00bb : quelques lectures pour en savoir un peu plus sur l\u2019histoire de l\u2019IA"},"content":{"rendered":"<p><span style=\"color: #0000ff;\"><em>Difficile d\u2019\u00eatre exhaustif lors d\u2019un Colloque. Nous avons pens\u00e9, avec l\u2019aide efficace du Professeur Gilbert Saporta, que quelques r\u00e9f\u00e9rences bibliographiques pourraient compl\u00e9ter la vision de l\u2019IA, au moins dans sa dimension historique. Les lignes qui suivent n\u2019ont pas la pr\u00e9tention d\u2019\u00eatre exhaustives. <\/em><\/span><\/p>\n<p><span style=\"color: #0000ff;\"><em>La p\u00e9riode couverte va de 1845, et l\u2019article du math\u00e9maticien belge Pierre Fran\u00e7ois Verhulst, \u00e0 la fin mars 2018 et la publication du rapport confi\u00e9 par le premier ministre fran\u00e7ais \u00e0 C\u00e9dric Villani assist\u00e9 d\u2019une mission parlementaire.<\/em><\/span><\/p>\n<p><span style=\"color: #0000ff;\"><em>Le Comit\u00e9 Editorial<\/em><\/span><\/p>\n<hr \/>\n<h3><strong>R\u00e9f\u00e9rences bibliographiques<\/strong><\/h3>\n<p>Agresti, C.A. Franklin [2013]. <em>Statistics: The Art and Science of Learning from Data<\/em>, 3rd Edition, Pearson<\/p>\n<p>A.\u00a0Aizerman, E.\u00a0M.\u00a0Braverman, L.\u00a0I.\u00a0Rozonoer, [1964]. Method of potential functions in the problem on restoration of functional converter characteristic by means of points observed randomly\u201d, <em>Avtomat. i Telemekh.<\/em>, 25:12, 1705\u20131714<\/p>\n<p>Aronszajn [1950]. Theory of reproducing kernels. <em>Transactions of the American Mathematical Society<\/em>, 68:337-404.<\/p>\n<p>Berlinet and C. Thomas-Agnan [2004]. <em>Reproducing kernel Hilbert spaces in probability and statistics<\/em>, Springer.<\/p>\n<p>E. Boser, I.M. Guyon, and V.N. Vapnik, [1992].A training algorithm for optimal margin classifiers. In: <em>COLT \u201992: Proceedings of the Fifth Annual Workshop on Computational Learning Theory<\/em>. New York, NY, USA: ACM Press, pp. 144\u2013152.<\/p>\n<p>Breiman [2001]. Statistical modeling: The two cultures. <em>Statistical Science<\/em>, 16, 3, pp 199\u2013215.<\/p>\n<p>Chervonenkis [2013]. Early History of Support Vector Machines in B. Sch\u00f6lkopf et al. (eds.), <em>Empirical Inference<\/em>, Springer-Verlag,\u00a0 Berlin Heidelberg , pp 13-20<\/p>\n<p>Conway, J. Siegelman. [2005]. <em>Dark Hero of the Information Age: In Search of Norbert Wiener, the Father of Cybernetics<\/em>, Basic Books; traduction fran\u00e7aise [2012]: <em>H\u00e9ros path\u00e9tique de l\u2019age de l\u2019information, en qu\u00eate de Norbert Wiener, p\u00e8re de la cybern\u00e9tique<\/em>, Hermann<\/p>\n<p>Cornu\u00e9jols, L. Miclet [2002]. <em>Apprentissage artificiel : Concepts et algorithmes<\/em>, Eyrolles.<\/p>\n<p>T.M. Cover [1965]. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. <em>IEEE Transactions on Electronic Computers<\/em>, 14, pp 326-334.<\/p>\n<p>J.S. Cramer [2003a]. <em>Logit Models from Economics and Other Fields<\/em>, Cambridge University Press<\/p>\n<p>J.S. Cramer [2003b].<span style=\"text-decoration: underline;\"><span style=\"color: #0000ff; text-decoration: underline;\"> https:\/\/www.cambridge.org\/resources\/0521815886\/1208_default.pdf<\/span><\/span><\/p>\n<p>Donoho [2015]. 50 years of Data Science, Tukey Centennial workshop, <span style=\"text-decoration: underline; color: #0000ff;\">https:\/\/dl.dropboxusercontent.com\/u\/23421017\/50YearsDataScience.pdf<\/span><\/p>\n<p>R.O. Duda and P.E. Hart [1973].\u00a0 <em>Pattern Classification and Scene Analysis<\/em>. Wiley<\/p>\n<p>France Strat\u00e9gie et CNN [mars 2017]. Rapport \u00ab\u00a0<em>Anticiper les impacts \u00e9conomiques et sociaux de l\u2019Intelligence Artificielle<\/em>\u00a0\u00bb.<\/p>\n<p>Gammerman, V. Vovk [2015]. Alexey Chervonenkis\u2019s Bibliography: Introductory Comments, <em>Journal of Machine Learning Research <\/em>16, pp. 2051-2066<\/p>\n<p>Guyon [2016]. Data Mining History: The Invention of Support Vector Machines, <span style=\"text-decoration: underline; color: #0000ff;\">http:\/\/www.kdnuggets.com\/2016\/07\/opinions-interviews.html<\/span><\/p>\n<p>P. Horst et al. [1941]. <em>The prediction of personal adjustment: A survey of logical problems and research techniques, with illustrative application to problems of vocational selection, school success, marriage, and crime<\/em>, Social Science Research Council<\/p>\n<p>W. Krauth, M. Mezard [1999]. Learning algorithms with optimal stability in neural networks. <em>J. Phys.<\/em> A 20, 745-752<\/p>\n<p>A. Lachenbruch and M. R. Mickey [1968]. Estimation of error rates in discriminant analysis, <em>Technometrics<\/em>, vol. 10, no. 1, pp.1 -12,<\/p>\n<p>McCulloch [1974]. Recollections of the Many Sources of Cybernetics, <em>ASC FORUM<\/em> Volume VI, Number 2 -Summer<\/p>\n<p>McFadden [1974]. Conditional Logit Analysis of Qualitative Choice Behavior, in P. Zarembka (ed.), <em>Frontiers in Econometrics<\/em>, 105-142, Academic Press<\/p>\n<p>O.L. Mangasarian [1965]. Linear and nonlinear separation of patterns by linear programming. <em>Operations Research<\/em> , 13:444-452<\/p>\n<p>Minsky, S. Papert [1969]. Perceptrons: An Introduction to Computational Geometry, MIT Press<\/p>\n<p>V.N. Novoseltsev [2015]. Institute of Control Sciences through the lens of VC dimension. In <em>Measures of Complexity: Festschrift for Alexey Chervonenkis<\/em>, chapter 5, pp 43\u201353. Springer, Berlin<\/p>\n<p>Olshen [2001]. A Conversation with Leo Breiman, <em>Statistical Science<\/em>, 16, 2,\u00a0 pp 184\u2013198<\/p>\n<p>OPECST (Office parlementaire d\u2019\u00e9valuation des choix scientifiques et technologiques) [mars 2017]. Rapport \u00ab\u00a0<em>Pour une intelligence artificielle ma\u00eetris\u00e9e, utile et d\u00e9mystifi\u00e9e<\/em>\u00a0\u00bb<\/p>\n<p>Platt [1999]. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods in A. Smola et al. editors, <em>Advances in large margin classifiers<\/em>. MIT Press<\/p>\n<p>Rosenblatt [1957]. The Perceptron, a Perceiving and Recognizing Automaton, <em>Cornell Aeronautical Laboratory Report<\/em> No. 85-460-1<\/p>\n<p>Rosenblatt [1962]. <em>Principles of Neurodynamics,<\/em> Spartan<\/p>\n<p>Saporta [2008]. Models for Understanding versus Models for Prediction, In P.Brito, ed., <em>Compstat Proceedings,<\/em> Physica Verlag, 315-322<\/p>\n<p>Sch\u00f6lkopf et al.(eds) [2013]. <em>Empirical Inference, Festschrift in Honor of Vladimir N. Vapnik<\/em>, Springer 2013<\/p>\n<p>Shmueli [2010]. To explain or to predict? <em>Statistical Science<\/em>, 25, 289\u2013310<\/p>\n<p>F.W. Smith [1968]. Pattern classifier design by linear programming. <em>IEEE Transactions on Computers<\/em>, C-17:367&#8211;372<\/p>\n<p>Stone [1974]. Cross-validatory choice and assessment of statistical predictions. <em>J. Royal Stat. Soc.<\/em>, 36(2), 111\u00ad147<\/p>\n<p>Theil [1969]. A multinomial extension of the linear logit model. <em>International Economic Review<\/em> 10, pp 251-259.<\/p>\n<p>Vapnik and A. Lerner [1963]. Pattern recognition using generalized portrait method. <em>Automation and Remote Control<\/em>, 24.<\/p>\n<p>Vapnik and A. Chervonenkis [1968]. Uniform convergence of frequencies of occurrence of events to their probabilities. <em>Soviet Mathematics Doklady<\/em>, 9 (4):915\u2013918.<\/p>\n<p>Vapnik, et A. Cervonenkis [1974]. <em>Teoriya raspoznavaniya obrazov: Statisticheskie problemy obucheniya. (Russian) [Theory of pattern recognition: Statistical problems of learning]<\/em>. Moscow: Nauka<\/p>\n<p>Vapnik [1979]. <em>Estimation of Dependences Based on Empirical Data<\/em><em> [in Russian]<\/em>. Moscow: Nauka.\u00a0; Traduction anglaise, Springer 1982<\/p>\n<p>Vapnik [1995]. <em>Statistical learning theory<\/em>, Wiley.<\/p>\n<p>Vapnik [2000]. T<em>he Nature of Statistical learning theory<\/em>, 2<sup>nd<\/sup> edition, Springer<\/p>\n<p>Vapnik [2006]. <em>Estimation of Dependences Based on Empirical Data<\/em>, 2<sup>nd<\/sup> edition, Springer<\/p>\n<p>Varian [2014]. Big Data: New Tricks for Econometrics, <em>Journal of Economic Perspectives<\/em>, 28, 2, pp.3\u201328<\/p>\n<p>P.F. Verhulst [1845]. Recherches math\u00e9matiques sur la loi d&rsquo;accroissement de la population, <em>Nouveaux M\u00e9moires de l&rsquo;Acad\u00e9mie Royale des Sciences et Belles-Lettres de Bruxelles<\/em>, no 18,\u200e p. 1-42<\/p>\n<p>Villani [mars 2018]. Rapport \u201c<em>Donner un sens \u00e0 l\u2019intelligence artificielle<\/em>\u201d<\/p>\n<p>Vovk <em>et al<\/em> (eds) [2015]. <em>Measures of Complexity, Festschrift for Alexey Chervonenkis<\/em>, Springer<\/p>\n<p>von Neumann [1945]. <em>First Draft of a Report on the EDVAC, University of Pennsylvania. Moore School of Electrical Engineering, University of Pennsylvania<\/em>.<\/p>\n<p>Wiener [1948]. <em>Cybernetics or Control and Communication in the Animal and the Machine<\/em>, Paris, (Hermann &amp; Cie) &amp; Cambridge. Mass. (MIT Press)<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Difficile d\u2019\u00eatre exhaustif lors d\u2019un Colloque. Nous avons pens\u00e9, avec l\u2019aide efficace du Professeur Gilbert Saporta, que quelques r\u00e9f\u00e9rences bibliographiques pourraient compl\u00e9ter la vision de l\u2019IA, au moins dans sa dimension historique. Les lignes qui suivent n\u2019ont pas la pr\u00e9tention d\u2019\u00eatre exhaustives. La p\u00e9riode couverte va de 1845, et l\u2019article du math\u00e9maticien belge Pierre Fran\u00e7ois [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":3160,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[164,12],"tags":[],"class_list":["post-3136","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligence-artificielle","category-alumni","et-has-post-format-content","et_post_format-et-post-format-standard"],"_links":{"self":[{"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/posts\/3136","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/variances.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3136"}],"version-history":[{"count":0,"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/posts\/3136\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/variances.eu\/index.php?rest_route=\/wp\/v2\/media\/3160"}],"wp:attachment":[{"href":"https:\/\/variances.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3136"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/variances.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3136"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/variances.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}