Download or read book Logique pour l informatique introduction la d duction automatique written by Serenella Cerrito and published by . This book was released on 2008 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: La 4ème de couverture indique : "Omniprésente dans notre société, l'informatique nous conduit à privilégier l'utilisation de logiciels qui soient fiables. - Ces derniers exigent à leur tour le recours à un formalisme rigoureux : bien écrit, un langage de programmation réduira les obstacles qui peuvent surgir entre développeurs et utilisateurs. Pareils formalismes se construisent sur la base de la logique mathématique. C'est elle qui fournit des outils permettant de modéliser correctement des informations complexes et d'en réaliser un traitement informatique. - Ce cours présente les notions et les outils logiques de base qui, dans l'univers concret de l'informatique, s'appliquent à plusieurs domaines tels que les fondements des langages de programmation et des bases de données, l'intelligence artificielle ou le génie logiciel. Volontairement simple et rigoureux, ce manuel est destiné à la formation universitaire de base en informatique. On y apprend comment utiliser la logique formelle non seulement pour modéliser des informations sur des données, mais aussi pour les manipuler automatiquement. - On utilise pour cela des logiciels qui permettent de raisonner sur ces données et d'effectuer des inférences (fournies ici en CAML, les solutions de programmation se prêtent à tous les autres langages de programmation que pourront choisir les utilisateurs). La logique utilisée ici est la logique dite classique. C'est elle qui constitue le noyau d'autres logiques plus sophistiquées. Orientée vers l'informatique plus que vers les mathématiques et contenant par ailleurs un très grand nombre d'exercices d'application directe de difficulté graduelle, cette introduction à la logique pour l'informatique est unique en son genre. - Principalement destiné aux étudiants inscrits en Licence d'informatique (L1, L2 et L3), ce manuel conviendra à tout informaticien souhaitant acquérir de solides bases en logique et comprendre en quoi la logique est nécessaire à la pratique de l'informatique."
Download or read book Logique et analyse written by and published by . This book was released on 1985 with total page 1044 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Informatique Th orique Et Applications written by and published by . This book was released on 1997 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book RAIRO Revue Fran aise D automatique D informatique Et de Recherche Op rationnelle written by and published by . This book was released on 1980 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technique Et Science Informatiques written by and published by . This book was released on 1987 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Intelligence written by and published by . This book was released on 1985 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Logic Colloquium 85 written by The Paris Logic The Paris Logic Group and published by Elsevier. This book was released on 1987-01-01 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The bulk of this volume consists of invited addresses presented at the Colloquium. These contributions report on recent or ongoing research in some of the mainstream areas of mathematical logic: model theory, both pure and in its applications (to group theory and real algebraic geometry); and proof theory, applied to set theory and diophantine equations.The major novel aspect of the book is the important place accorded to the connections of mathematical logic with the neighboring disciplines: mathematical foundations of computer science, and philosophy of mathematics.
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Download or read book Mathematics And The Natural Sciences The Physical Singularity Of Life written by Giuseppe Longo and published by World Scientific. This book was released on 2011-03-04 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies the organizing concepts of physical and biological phenomena by an analysis of the foundations of mathematics and physics. Our aim is to propose a dialog between different conceptual universes and thus to provide a unification of phenomena. The role of “order” and symmetries in the foundations of mathematics is linked to the main invariants and principles, among them the geodesic principle (a consequence of symmetries), which govern and confer unity to various physical theories. Moreover, an attempt is made to understand causal structures, a central element of physical intelligibility, in terms of both symmetries and symmetry breakings. A distinction between the principles of (conceptual) construction and of proofs, both in physics and in mathematics, guides most of the work.The importance of mathematical tools is also highlighted to clarify differences in the models for physics and biology that are proposed by continuous and discrete mathematics, such as computational simulations.Since biology is particularly complex and not as well understood at a theoretical level, we propose a “unification by concepts” which in any case should precede mathematization. This constitutes an outline for unification also based on highlighting conceptual differences, complex points of passage and technical irreducibilities of one field to another. Indeed, we suppose here a very common monist point of view, namely the view that living objects are “big bags of molecules”. The main question though is to understand which “theory” can help better understand these bags of molecules. They are, indeed, rather “singular”, from the physical point of view. Technically, we express this singularity through the concept of “extended criticality”, which provides a logical extension of the critical transitions that are known in physics. The presentation is mostly kept at an informal and conceptual level./a
Download or read book Actes du 2e Colloque Africain sur la Recherche en Informatique written by Joachim Tankoano and published by Orstom Editions. This book was released on 1994 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Actes written by and published by . This book was released on 1986 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Symmetry written by Hermann Weyl and published by Princeton University Press. This book was released on 2015-07-06 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symmetry is a classic study of symmetry in mathematics, the sciences, nature, and art from one of the twentieth century's greatest mathematicians. Hermann Weyl explores the concept of symmetry beginning with the idea that it represents a harmony of proportions, and gradually departs to examine its more abstract varieties and manifestations—as bilateral, translatory, rotational, ornamental, and crystallographic. Weyl investigates the general abstract mathematical idea underlying all these special forms, using a wealth of illustrations as support. Symmetry is a work of seminal relevance that explores the great variety of applications and importance of symmetry.
Download or read book Cognitive Science written by Jay Friedenberg and published by SAGE Publications. This book was released on 2015-09-23 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Cognitive Science 3e Friedenberg and Silverman provide a solid understanding of the major theoretical and empirical contributions of cognitive science. Their text, thoroughly updated for this new third edition, describes the major theories of mind as well as the major experimental results that have emerged within each cognitive science discipline. Throughout history, different fields of inquiry have attempted to understand the great mystery of mind and answer questions like: What is the mind? How do we see, think, and remember? Can we create machines that are conscious and capable of self-awareness? This books examines these questions and many more. Focusing on the approach of a particular cognitive science field in each chapter, the authors describe its methodology, theoretical perspective, and findings and then offer a critical evaluation of the field. Features: Offers a wide-ranging, comprehensive, and multidisciplinary introduction to the field of cognitive science and issues of mind. Interdisciplinary Crossroads” sections at the end of each chapter focus on research topics that have been investigated from multiple perspectives, helping students to understand the link between varying disciplines and cognitive science. End-of-chapter “Summing Up” sections provide a concise summary of the major points addressed in each chapter to facilitate student comprehension and exam preparation “Explore More” sections link students to the Student Study Site where the authors have provided activities to help students more quickly master course content and prepare for examinations Supplements: A password-protected Instructor’s Resource contains PowerPoint lectures, a test bank and other pedagogical material.The book's Study Site features Web links, E-flash cards, and interactive quizzes.
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Download or read book Applied Informatics written by M. H. Hamza and published by . This book was released on 1988 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book CIPS Session 78 written by and published by . This book was released on 1978 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:
