Mathematical logic Books
Springer Verlag Logica: Volume 1 - Dimostrazioni e modelli al
Book SynopsisGli autori, basandosi sulla loro esperienza di ricerca, propongono in due volumi un testo di riferimento per acquisire una solida formazione specialistica nella logica.Nei due volumi vengono presentati in maniera innovativa e rigorosa temi di logica tradizionalmente affrontati nei corsi universitari di secondo livello.Questo primo volume è dedicato ai teoremi fondamentali sulla logica del primo ordine e alle loro principali conseguenze.Il testo è rivolto in particolare agli studenti dei corsi di laurea magistrale.Table of Contents1 Introduzione.- 2 Alcune nozioni preliminari.- 3 Dimostrabilità e soddisfacibilità.- 4 Verso la teoria della dimostrazione: il teorema del taglio per LK.- 5 Verso la teoria dei modelli: alcune conseguenze del teorema di compattezza.
£18.99
Springer Verlag, Singapore Advances in Mathematical Logic: Dedicated to the
Book SynopsisGaisi Takeuti was one of the most brilliant, genius, and influential logicians of the 20th century. He was a long-time professor and professor emeritus of mathematics at the University of Illinois at Urbana-Champaign, USA, before he passed away on May 10, 2017, at the age of 91. Takeuti was one of the founders of Proof Theory, a branch of mathematical logic that originated from Hilbert's program about the consistency of mathematics. Based on Gentzen's pioneering works of proof theory in the 1930s, he proposed a conjecture in 1953 concerning the essential nature of formal proofs of higher-order logic now known as Takeuti's fundamental conjecture and of which he gave a partial positive solution. His arguments on the conjecture and proof theory in general have had great influence on the later developments of mathematical logic, philosophy of mathematics, and applications of mathematical logic to theoretical computer science. Takeuti's work ranged over the whole spectrum of mathematical logic, including set theory, computability theory, Boolean valued analysis, fuzzy logic, bounded arithmetic, and theoretical computer science. He wrote many monographs and textbooks both in English and in Japanese, and his monumental monograph Proof Theory, published in 1975, has long been a standard reference of proof theory. He had a wide range of interests covering virtually all areas of mathematics and extending to physics. His publications include many Japanese books for students and general readers about mathematical logic, mathematics in general, and connections between mathematics and physics, as well as many essays for Japanese science magazines. This volume is a collection of papers based on the Symposium on Advances in Mathematical Logic 2018. The symposium was held September 18–20, 2018, at Kobe University, Japan, and was dedicated to the memory of Professor Gaisi Takeuti. Table of ContentsS. Fuchino and A. Ottenbreit Ottenbreit Maschio Rodrigues, Reflection principles, generic large cardinals, and the Continuum Problem.- D. Ikegami and N. Trang, On supercompactness of ω1.- S. Iwata, Interpolation properties for Sacchetti’s logics.- T. Kurahashi, Rosser provability and the second incompleteness theorem.- H. Kurokawa, On Takeuti’s early view of the concept of set.- Yo Matsubara and T. Usuba, On Countable Stationary Towers.- M. Ozawa, Reforming Takeuti’s Quantum Set Theory to Satisfy De Morgan’s Laws.- T. Usuba, Choiceless Lowenheim-Skolem property and uniform definability of grounds.- M. Yasugi, Y. Tsujii, T. Mori, Irrational-based computability of functions.- M. Yasugi, “Gaisi Takeuti’s finitist standpoint” and its mathematical embodiment.- Y. Yoshinobu, Properness under closed forcing.
£123.49
Clarendon Press Features and Fluents
Book SynopsisTechniques for reasoning about actions an change in the physical world is one of the classical research topics in artificial intelligence. It is motivated by the needs of autonomous robots which must be able to anticipate their immediate future, to plan their future actions, and to figure out what went wrong in case of problems. It is also motivated by the needs of common-sense reasoning for example in the understanding of natural language texts, where processes and change over time is an ever-present phenomenon. The same set of problems arises in several other areas of computing such as in conceptual modelling for data bases, and in the rapidly growing area of intelligent control.The present research monograph presents and uses a novel methodology for reasoning about actions and change. Traditional research contributions have proposed new logic variants which were only supported by episodical examples. THe work described here uses a systematic methodology for identifying the exact ranTrade ReviewThe book presents deep and serious insight into inert and inhabited dynamical systems (IDS). * Zentralblatt fur Mathematik *Those working in nonmonotonic reasoning, planning, temporal logic, reasoning about actions and change, and related areas will find this book worth reading. * Computing Reviews *Table of ContentsInert and inhabited dynamical systems ; Inference operations on scenario descriptions ; Underlying semantics for IDS worlds ; Elementary feature logic and meta-logical concepts ; Lexical-domain object-feature logic ; Temporal feature logic for discrete time domains ; Chronicle completion in k-IA ; Intended models for chronicles in k-IA ; Entailment methods for k-IA using DFL-1 ; Duration constraints ; Entailment methods for k-OA using occlusion ; Composite actions ; Upper applicability bounds and assessment of soundness ; Future directions ; Terms index ; Notation ; References to related work
£93.72
Oxford University Press The Reasons Proper Study
Book SynopsisBob Hale and Crispin Wright draw together here the key writings in which they have worked out their distinctive neo-Fregean approach to the philosophy of mathematics. The two main components in Frege''s mathematical philosophy were his platonism and his logicism -- the claims, respectively, that mathematics is a body of knowledge about independently existing objects, and that this knowledge may be acquired on the basis of general logical laws and suitable definitions. The central thesis of this collection is that Frege was -- his own eventual recantation notwithstanding -- substantially right in both claims. Where neo-Fregeanism principally differs from Frege is in taking a more optimistic view of the kind of contextual explanation (proceeding via what are now commonly called abstraction principles) of the fundamental concepts of arithmetic and analysis which Frege considered and rejected. On this basis, neo-Fregeanism promises defensible and attractive answers to some of the most impoTable of ContentsI. ONTOLOGY AND ABSTRACTION PRINCIPLES ; II. RESPONSES TO CRITICS ; III. HUME'S PRINCIPLE ; IV. ON THE DIFFERENTIATION OF ABSTRACTA ; V. BEYOND NUMBER-THEORY
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Taylor & Francis Ltd Hex
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Taylor & Francis Ltd Beyond First Order Model Theory Volume II
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Taylor & Francis Time Logic
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Taylor & Francis Ltd Time Logic
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Taylor & Francis Ltd Practical Cryptography
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Taylor & Francis Ltd Theory and Applications of HigherDimensional Hadamard Matrices Second Edition
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Taylor & Francis Ltd Algorithms and Theory of Computation Handbook Volume 2 Special Topics and Techniques Chapman HallCRC Applied Algorithms and Data Structures series
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Taylor & Francis Ltd Understanding and Applying Cryptography and Data Security
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Taylor & Francis Ltd Datadriven Block Ciphers for Fast Telecommunication Systems
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Taylor & Francis Ltd Quantum Communications and Cryptography
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Taylor & Francis Ltd Fuzzy Automata and Languages Theory and Applications
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Taylor & Francis Ltd Logic of Arithmetic
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Taylor & Francis Ltd Lectures on Mathematical Logic Volume II
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Taylor & Francis Ltd Quadratics
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Taylor & Francis An Introduction to Manyvalued Logics
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Taylor & Francis Nondeductive Inference 2 Routledge Library
Book SynopsisOriginally published in 1966. An introduction to current studies of kinds of inference in which validity cannot be determined by ordinary deductive models. In particular, inductive inference, predictive inference, statistical inference, and decision making are examined in some detail. The last chapter discusses the relationship of these forms of inference to philosophical notions of rationality. Special features of the monograph include a discussion of the legitimacy of various criteria for successful predictive inference, the development of an intuitive model which exhibits the difficulties of choosing probability measures over infinite sets, and a comparison of rival views on the foundations of probability in terms of the amount of information which the members of these schools believe suitable for fruitful formalization. The bibliographies include articles by statisticians accessible to students of symbolic logic. Table of Contents1. Inductive and Predictive Inference 2. Hypothesis and Predictive Inference 3. Probability and Predictive Inference 4. Statistical Inference 5. Bayesian Statistical Inference 6. Statistical Decision and Utility 7. Theories and Rationality 8. Bibliography
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Taylor & Francis Quantification Theory 7 Routledge Library Editions Logic
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Taylor & Francis TruthFunctional Logic 8 Routledge Library Editions Logic
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Taylor & Francis Elementary Formal Logic A Programmed Course 11 Routledge Library Editions Logic
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Taylor & Francis The Elements of Formal Logic 12 Routledge Library Editions Logic
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Taylor & Francis Topics in Modern Logic
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Taylor & Francis The Development of Mathematical Logic
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Taylor & Francis Quantification Theory Routledge Library Editions Logic
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Taylor & Francis TruthFunctional Logic
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Taylor & Francis Elementary Formal Logic A Programmed Course Routledge Library Editions Logic
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Taylor & Francis The Elements of Formal Logic Routledge Library Editions Logic
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Taylor & Francis The Development of Mathematical Logic Routledge Library Editions Logic
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Taylor & Francis Ltd The Equation of Knowledge
Book SynopsisThe Equation of Knowledge: From Bayes'' Rule to a Unified Philosophy of Science introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge. The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician. This book also shows how Bayesianism sheds new light on nearly all areas of knowledge, from philosophy to mathematics, science and engineering, but also law, politics and everyday decision-making.Bayesian thinking is an important topic for research, which has seen dramatic progress in the recent years, and has a significant role to play in the understanding and development of AI and Machine Learning, among many other things. This book seeks to act as a tool for proselytising the benefits and limits of Bayesianism to a wider public. Features Trade ReviewLê Nguyên Hoang takes us on a fascinating intellectual journey into Bayesianism, cutting across many social and natural sciences. The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science is a real page turner.—George Zaccour, HEC Montréal and co-author of Handbook of Dynamic Game Theory"Each chapter is opened with a fascinating epigraph quoting famous persons, and is completed by the most recent references. There are multiple illustrations, and the Bayes’ formulae are many times presented via various funny symbols of emoji kind. The book is addressed to a wide audience of students, professionals, and actually any reader interested to be better acquainted with modern ideas in various sciences and philosophy of science, and their Bayesian statistical description and interpretation."— Stan Lipovetsky, Technometrics (Volume 63, 2021 - Issue 1)"[. . . ] Trained in the hard school of online videos, Le Nguyen Hoang has found a new tone to talk about science, a tone that is both rigorous and narrative, where examples illuminate the most abstract questions."— From the Foreword by Gilles Dowek, Professor at École Polytechnique and researcher at the Laboratoire d'Informatique de l'École Polytechnique and the Institut National de Recherche en Informatique et en Automatique (INRIA).Lê Nguyên Hoang takes us on a fascinating intellectual journey into Bayesianism, cutting across many social and natural sciences. The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science is a real page turner.— George Zaccour, HEC Montréal and co-author of Handbook of Dynamic Game Theory"Making math accessible to everyone, showing its connections with dozens of different domains, narrating scientific discovery as a personal human adventure, and sharing impressive enthusiasm: there is definitely something of Greg Chaitin's Meta Math! in Lê Nguyên Hoang's book!" — Rémi Peyre, École des Mines de Nancy"A remarkable piece of work, broad and insightful at the same time. This book is unique in that it gives an accessible journey from subtle probabilistic puzzles to the most advanced concepts at the heart of the machine learning revolution; with unrivalled clarity, it exposes deep ideas that have remained very confidential outside of specialized circles, and that yet are becoming fundamental in the way we understand our world."— Clément Hongler, Associate Professor and Chair of Statistical Field Theory, EPFL "As someone who practices research and publishes academic papers, it is frustrating to note how little we, scientists, are trained in epistemology. ‘How do we know that we know?’ This question is often neglected or taken for granted. The recent controversies about reproducibility of scientific publishing might be one of the tips of a larger iceberg. This book will, in my opinion, be remembered as one of those that helped melt the iceberg." — El Mahdi El Mhamdi, École Polytechnique Fédérale de Lausanne."The book has a lively writing style, rather like you are listening to an inspiring lecturer. Indeed the author has a French YouTube channel and is clearly enthusiastic about exposition. It is overtly an account of what the author personally finds interesting. [. . .] In teaching a basic college course, focused on the mathematical setup and on the analysis of data, I often find there is one student who comes to office hours and is interested in seeing connections with broad scientific fields, or in conceptual issues of the philosophy of science. I could certainly recommend this book to such a student. Similarly, for the MAA community it could be an innovative basis for an undergraduate seminar course, in which students would choose a topic from the book and delve deeper into it."— David Aldous, Mathematical Association of AmericaTable of ContentsSction I. Pure Bayesianism. 1. On A Transformative Journey. 2. Bayes Theorem. 3. Logically Speaking... 4. Let’s Generalize! 5. All Hail Prejudices. 6. The Bayesian Prophets. 7. Solomonoff’s Demon. Section II. Applied Bayesianism. 8. Can You Keep A Secret? 9. Game, Set and Math. 10. Will Darwin Select Bayes? 11. Exponentially Counter-Intuitive. 12. Ockham Cuts to the Chase. 13. Facts Are Misleading. Section III. Pragmatic Bayesianism. 14. Quick And Not Too Dirty. 15. Wish Me Luck. 16. Down Memory Lane. 17. Let’s Sleep On It. 18. The Unreasonable Effectiveness of Abstraction. 19. The Bayesian Brain. Section IV. Beyond Bayesianism. 20. It’s All Fiction. 21. Exploring The Origins Of Beliefs. 22. Beyond Bayesianism.
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Taylor & Francis Ltd The Equation of Knowledge
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Taylor & Francis Ltd Multimedia Encryption and Authentication Techniques and Applications
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Taylor & Francis Logic Works
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Taylor & Francis Logic Works
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Taylor & Francis Ltd Architecture of Mathematics
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Taylor & Francis Ltd Mechanizing Hypothesis Formation
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Taylor & Francis Ltd Foundations of Mathematics and other Logical Essays
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Taylor & Francis Frege Dedekind and Peano on the Foundations of Arithmetic Routledge Revivals
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Taylor & Francis Frege Dedekind and Peano on the Foundations of Arithmetic Routledge Revivals
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Taylor & Francis Ltd Computing in Nonlinear Media and Automata Collectives
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