Machine Learning for Automated Theorem Proving

Machine Learning for Automated Theorem Proving

Author: Sean B. Holden

Publisher:

Published: 2021-11-22

Total Pages: 202

ISBN-13: 9781680838985

DOWNLOAD EBOOK

In this book, the author presents the results of his thorough and systematic review of the research at the intersection of two apparently rather unrelated fields: Automated Theorem Proving (ATP) and Machine Learning (ML).


Understanding Machine Learning

Understanding Machine Learning

Author: Shai Shalev-Shwartz

Publisher: Cambridge University Press

Published: 2014-05-19

Total Pages: 415

ISBN-13: 1107057132

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.


Automated Reasoning

Automated Reasoning

Author: Alessandro Armando

Publisher: Springer Science & Business Media

Published: 2008-07-25

Total Pages: 568

ISBN-13: 3540710698

DOWNLOAD EBOOK

methods, description logics and related logics, sati?ability modulo theory, decidable logics, reasoning about programs, and higher-order logics.


Interactive Theorem Proving and Program Development

Interactive Theorem Proving and Program Development

Author: Yves Bertot

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 492

ISBN-13: 366207964X

DOWNLOAD EBOOK

A practical introduction to the development of proofs and certified programs using Coq. An invaluable tool for researchers, students, and engineers interested in formal methods and the development of zero-fault software.


Bayesian Reasoning and Machine Learning

Bayesian Reasoning and Machine Learning

Author: David Barber

Publisher: Cambridge University Press

Published: 2012-02-02

Total Pages: 739

ISBN-13: 0521518148

DOWNLOAD EBOOK

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.


Concrete Semantics

Concrete Semantics

Author: Tobias Nipkow

Publisher: Springer

Published: 2014-12-03

Total Pages: 304

ISBN-13: 3319105426

DOWNLOAD EBOOK

Part I of this book is a practical introduction to working with the Isabelle proof assistant. It teaches you how to write functional programs and inductive definitions and how to prove properties about them in Isabelle’s structured proof language. Part II is an introduction to the semantics of imperative languages with an emphasis on applications like compilers and program analysers. The distinguishing feature is that all the mathematics has been formalised in Isabelle and much of it is executable. Part I focusses on the details of proofs in Isabelle; Part II can be read even without familiarity with Isabelle’s proof language, all proofs are described in detail but informally. The book teaches the reader the art of precise logical reasoning and the practical use of a proof assistant as a surgical tool for formal proofs about computer science artefacts. In this sense it represents a formal approach to computer science, not just semantics. The Isabelle formalisation, including the proofs and accompanying slides, are freely available online, and the book is suitable for graduate students, advanced undergraduate students, and researchers in theoretical computer science and logic.


Automated Theory Formation in Pure Mathematics

Automated Theory Formation in Pure Mathematics

Author: Simon Colton

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 384

ISBN-13: 1447101472

DOWNLOAD EBOOK

In recent years, Artificial Intelligence researchers have largely focused their efforts on solving specific problems, with less emphasis on 'the big picture' - automating large scale tasks which require human-level intelligence to undertake. The subject of this book, automated theory formation in mathematics, is such a large scale task. Automated theory formation requires the invention of new concepts, the calculating of examples, the making of conjectures and the proving of theorems. This book, representing four years of PhD work by Dr. Simon Colton demonstrates how theory formation can be automated. Building on over 20 years of research into constructing an automated mathematician carried out in Professor Alan Bundy's mathematical reasoning group in Edinburgh, Dr. Colton has implemented the HR system as a solution to the problem of forming theories by computer. HR uses various pieces of mathematical software, including automated theorem provers, model generators and databases, to build a theory from the bare minimum of information - the axioms of a domain. The main application of this work has been mathematical discovery, and HR has had many successes. In particular, it has invented 20 new types of number of sufficient interest to be accepted into the Encyclopaedia of Integer Sequences, a repository of over 60,000 sequences contributed by many (human) mathematicians.


Logic for Computer Science

Logic for Computer Science

Author: Jean H. Gallier

Publisher: Courier Dover Publications

Published: 2015-06-18

Total Pages: 532

ISBN-13: 0486780821

DOWNLOAD EBOOK

This advanced text for undergraduate and graduate students introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. The self-contained treatment is also useful for computer scientists and mathematically inclined readers interested in the formalization of proofs and basics of automatic theorem proving. Topics include propositional logic and its resolution, first-order logic, Gentzen's cut elimination theorem and applications, and Gentzen's sharpened Hauptsatz and Herbrand's theorem. Additional subjects include resolution in first-order logic; SLD-resolution, logic programming, and the foundations of PROLOG; and many-sorted first-order logic. Numerous problems appear throughout the book, and two Appendixes provide practical background information.