Download or read book The Logic Programming Tutor written by Jocelyn Paine and published by Springer. This book was released on 1992-06-30 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.
Download or read book Inductive Logic Programming written by Francesco Bergadano and published by MIT Press. This book was released on 1996 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias. Logic Programming series
Download or read book Introduction to Logic Programming written by Michael Michael Genesereth and published by Springer Nature. This book was released on 2022-06-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, there has been growing interest in Logic Programming due to applications in deductive databases, automated worksheets, Enterprise Management (business rules), Computational Law, and General Game Playing. This book introduces Logic Programming theory, current technology, and popular applications. In this volume, we take an innovative, model-theoretic approach to logic programming. We begin with the fundamental notion of datasets, i.e., sets of ground atoms. Given this fundamental notion, we introduce views, i.e., virtual relations; and we define classical logic programs as sets of view definitions, written using traditional Prolog-like notation but with semantics given in terms of datasets rather than implementation. We then introduce actions, i.e., additions and deletions of ground atoms; and we define dynamic logic programs as sets of action definitions. In addition to the printed book, there is an online version of the text with an interpreter and a compiler for the language used in the text and an integrated development environment for use in developing and deploying practical logic programs.
Download or read book Foundations of Probabilistic Logic Programming written by Fabrizio Riguzzi and published by CRC Press. This book was released on 2023-07-07 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.
Download or read book Foundations of Inductive Logic Programming written by Shan-Hwei Nienhuys-Cheng and published by Springer Science & Business Media. This book was released on 1997-04-18 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Download or read book Logic Programming written by Danny De Schreye and published by MIT Press. This book was released on 1999-11-08 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes tutorials, lectures, and refereed papers on all aspects of logic programming, including theoretical foundations, constraints, concurrency and parallelism, deductive databases, language design and implementation, nonmonotonic reasoning, and logic programming and the Internet. The International Conference on Logic Programming, sponsored by the Association for Logic Programming, includes tutorials, lectures, and refereed papers on all aspects of logic programming, including theoretical foundations, constraints, concurrency and parallelism, deductive databases, language design and implementation, nonmonotonic reasoning, and logic programming and the Internet.
Download or read book Foundations of Probabilistic Logic Programming written by Fabrizio Riguzzi and published by River Publishers. This book was released on 2018-09-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study. Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system. Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds. Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online.
Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-27 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.
Download or read book Logic Programming written by Patricia M. Hill and published by Springer Science & Business Media. This book was released on 2009-07-24 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th International Conference on Logic Programming, ICLP 2009, held in Pasadena, CA, USA, in July2009. The 29 revised full papers together with 9 short papers, 4 invited talks, 4 invited tutorials, and the abstracts of 18 doctoral consortium articles were carefully reviewed and selected from 69 initial submissions. The papers cover all issues of current research in logic programming, namely semantic foundations, formalisms, nonmonotonic reasoning, knowledge representation, compilation, memory management, virtual machines, parallelism, program analysis, program transformation, validation and verification, debugging, profiling, concurrency, objects, coordination, mobility, higher order, types, modes, programming techniques, abductive logic programming, answer set programming, constraint logic programming, inductive logic programming, alternative inference engines and mechanisms, deductive databases, data integration, software engineering, natural language, web tools, internet agents, artificial intelligence, bioinformatics.
Download or read book Logic for Learning written by John W. Lloyd and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
Download or read book Warren s Abstract Machine written by Hassan Aït-Kaci and published by Mit Press. This book was released on 1991 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial demystifies one of the most important yet poorly understood aspects of logic programming, the Warren Abstract Machine or WAM. The author's step-by-step construction of the WAM adds features in a gradual manner, clarifying the complex aspects of the design and providing the first detailed study of WAM since it was designed in 1983.Developed by David H. D. Warren, the WAM is an abstract (nonphysical) computer that aids in the compilation and implementation of the Prolog programming language and offers techniques for compiling and optimizing symbolic computing that can be generalized beyond Prolog. Although the benefits of the WAM design have been widely accepted, few have been able to penetrate the WAM. This lucid introduction defines separate abstract machines for each conceptually separate part of the design and refines them, finally stitching them together to make a WAM. An index presents all of the critical concepts used in the WAM. It is assumed that readers have a clear understanding of the operational semantics of Prolog, in particular, of unification and backtracking, but a brief summary of the necessary Prolog notions is provided.Contents: Introduction. Unification -- Pure and Simple. Flat Resolution. Prolog. Optimizing the Design. Conclusion. Appendixes.
Download or read book Learning Language in Logic written by James Cussens and published by Springer. This book was released on 2003-07-31 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP’99) and the Sixteenth International Conference on Machine Learning (ICML’99). LLL is a research area lying at the intersection of computational linguistics, machine learning, and computational logic. As such it is of interest to all those working in these three ?elds. I am pleased to say that the workshop attracted subm- sions from both the natural language processing (NLP) community and the ILP community, re?ecting the essentially multi-disciplinary nature of LLL. Eric Brill and Ray Mooney were invited speakers at the workshop and their contributions to this volume re?ect the topics of their stimulating invited talks. After the workshop authors were given the opportunity to improve their papers, the results of which are contained here. However, this volume also includes a substantial amount of two sorts of additional material. Firstly, since our central aim is to introduce LLL work to the widest possible audience, two introductory chapters have been written. Dzeroski, ? Cussens and Manandhar provide an - troduction to ILP and LLL and Thompson provides an introduction to NLP.
Download or read book Inductive Logic Programming written by Stephen Muggleton and published by Morgan Kaufmann. This book was released on 1992 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inductive logic programming is a new research area emerging at present. Whilst inheriting various positive characteristics of the parent subjects of logic programming an machine learning, it is hoped that the new area will overcome many of the limitations of its forbears. This book describes the theory, implementations and applications of Inductive Logic Programming.
Download or read book Inductive Logic Programming written by Nada Lavrač and published by Ellis Horwood. This book was released on 1994 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-12 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.
Download or read book Logic Programming written by Catuscia Palamidessi and published by Springer Science & Business Media. This book was released on 2003-11-25 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Logic Programming, ICLP 2003, held in Mumbai, India in December 2003. The 23 revised full papers and 19 poster papers presented together with 5 invited full contributions and abstracts of 4 invited contributions were carefully reviewed and selected from 81 submissions. All current issues in logic programming are addressed.
Download or read book Foundations of Disjunctive Logic Programming written by Jorge Lobo and published by MIT Press. This book was released on 1992 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
