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Logic: Reference Book for Computer Scientists
  • Language: en
  • Pages: 489

Logic: Reference Book for Computer Scientists

The book gives all interested in computer science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logics. The content will be valid as well for those interested in linguistic, philosophy and many other areas of research both in humane and technical branches of science as logic permeates all genuine realms of science. The book contains a substantial part of classical results in logic like those by Gödel, Tarski, Church and Rosser as well as later developments like many-valued logics, logics for knowledge engineering, first-order logics plus inductive definitions. The exposition is rigorous yet without unnecessary abstractionism, so it should be accessible to readers from many disciplines of science. Each chapter contains a problem section, and problems are borrowed from research publications which allows for passing additional information, and it allows readers to test their skills. Extensive bibliography of 270 positions directs readers to research works of importance.

Logics for Computer and Data Sciences, and Artificial Intelligence
  • Language: en
  • Pages: 372

Logics for Computer and Data Sciences, and Artificial Intelligence

This volume offers the reader a systematic and throughout account of branches of logic instrumental for computer science, data science and artificial intelligence. Addressed in it are propositional, predicate, modal, epistemic, dynamic, temporal logics as well as applicable in data science many-valued logics and logics of concepts (rough logics). It offers a look into second-order logics and approximate logics of parts. The book concludes with appendices on set theory, algebraic structures, computability, complexity, MV-algebras and transition systems, automata and formal grammars. By this composition of the text, the reader obtains a self-contained exposition that can serve as the textbook on logics and relevant disciplines as well as a reference text.

Rough Sets
  • Language: en
  • Pages: 676

Rough Sets

  • Type: Book
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  • Published: 2018-08-14
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  • Publisher: Springer

This LNAI 1103 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2018, held in Quy Nhon, Vietnam, in August 2018. The 40 full papers presented together with 5 short papers were carefully reviewed and selected from 61 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage.

Current Issues in Mathematical Linguistics
  • Language: en
  • Pages: 480

Current Issues in Mathematical Linguistics

  • Type: Book
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  • Published: 2014-06-28
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  • Publisher: Elsevier

The present volume contains some selected topics of current interest around the world in the mathematical analysis of natural language. The book is divided into four sections:- analytical algebraic models- models from the theory of formal grammars and automata, with interest mainly in syntax- model-theoretic concepts in semantics or pragmatics, and- a final section containing some applications in computational linguistics.The varied perspectives illustrated in the book confirm that Mathematical Linguistics has finally introduced scientific methods into a previously fuzzy field, through the use of mathematical reasoning. The text will contribute to a fruitful convergence between linguists, mathematicians, logicians, computer scientists, cognitive scientists and others interested in the formal treatment of natural language and the research of its properties.

Mathematical and Computational Analysis of Natural Language
  • Language: en
  • Pages: 410

Mathematical and Computational Analysis of Natural Language

In the last decade, computational linguistics has produced a revival of the interest in the mathematical study of the various levels of human language. This volume contains a selection of recent research papers approaching mathematical and computational topics in natural languages, with a special attention being paid to syntax and semantics. According with their main focus, the papers are distributed into four parts: Syntax, Semantics, Natural language processing and Varia, which cover a vast range of problems. The book may be of interest to all those who intend to know which kind of mathematics is used when giving account of natural language, as well as to people working on computational issues involving human-machine interaction.

Information and Software Technologies
  • Language: en
  • Pages: 771

Information and Software Technologies

  • Type: Book
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  • Published: 2016-09-29
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 22nd International Conference on Information and Software Technologies, ICIST 2016, held in Druskininkai, Lithuania, in October 2016. The 61 papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; software engineering; information technology applications.

Scientific and Technical Aerospace Reports
  • Language: en
  • Pages: 996

Scientific and Technical Aerospace Reports

  • Type: Book
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  • Published: 1990
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  • Publisher: Unknown

None

Demonstratio mathematica
  • Language: en
  • Pages: 560

Demonstratio mathematica

  • Type: Book
  • -
  • Published: 1993
  • -
  • Publisher: Unknown

None

Cahiers de linguistique théorique et appliquée
  • Language: en
  • Pages: 684

Cahiers de linguistique théorique et appliquée

  • Type: Book
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  • Published: 1990
  • -
  • Publisher: Unknown

None

Rough Sets
  • Language: en
  • Pages: 596

Rough Sets

  • Type: Book
  • -
  • Published: 2016-09-28
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  • Publisher: Springer

This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 2016. The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets.