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Modelling puzzles in first order logic
~
Groza, Adrian.
Modelling puzzles in first order logic
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modelling puzzles in first order logicby Adrian Groza.
Author:
Groza, Adrian.
Published:
Cham :Springer International Publishing :2021.
Description:
xv, 338 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Logic puzzles.
Online resource:
https://doi.org/10.1007/978-3-030-62547-4
ISBN:
9783030625474$q(electronic bk.)
Modelling puzzles in first order logic
Groza, Adrian.
Modelling puzzles in first order logic
[electronic resource] /by Adrian Groza. - Cham :Springer International Publishing :2021. - xv, 338 p. :ill. (some col.), digital ;24 cm.
Preface -- Getting Started with Prover9 and Mace4 -- Micro Arithmetic Puzzles -- Strange Numbers -- Practical Puzzles -- Lady and Tigers -- Einstein Puzzles -- Island of Truth -- Love and Marriage -- Grid Puzzles -- Japanese Puzzles -- Russian Puzzles -- Polyomino Puzzles -- Self-reference and Other Puzzles -- Epigraph in Natural Language.
Keeping students involved and actively learning is challenging. Instructors in computer science are aware of the cognitive value of modelling puzzles and often use logical puzzles as an efficient pedagogical instrument to engage students and develop problem-solving skills. This unique book is a comprehensive resource that offers teachers and students fun activities to teach and learn logic. It provides new, complete, and running formalisation in Propositional and First Order Logic for over 130 logical puzzles, including Sudoku-like puzzles, zebra-like puzzles, island of truth, lady and tigers, grid puzzles, strange numbers, or self-reference puzzles. Solving puzzles with theorem provers can be an effective cognitive incentive to motivate students to learn logic. They will find a ready-to-use format which illustrates how to model each puzzle, provides running implementations, and explains each solution. This concise and easy-to-follow textbook is a much-needed support tool for students willing to explore beyond the introductory level of learning logic and lecturers looking for examples to heighten student engagement in their computer science courses.
ISBN: 9783030625474$q(electronic bk.)
Standard No.: 10.1007/978-3-030-62547-4doiSubjects--Topical Terms:
728069
Logic puzzles.
LC Class. No.: QA95 / .G76 2021
Dewey Class. No.: 511.3
Modelling puzzles in first order logic
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by Adrian Groza.
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Imprint: Springer,
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2021.
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ill. (some col.), digital ;
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24 cm.
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Preface -- Getting Started with Prover9 and Mace4 -- Micro Arithmetic Puzzles -- Strange Numbers -- Practical Puzzles -- Lady and Tigers -- Einstein Puzzles -- Island of Truth -- Love and Marriage -- Grid Puzzles -- Japanese Puzzles -- Russian Puzzles -- Polyomino Puzzles -- Self-reference and Other Puzzles -- Epigraph in Natural Language.
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Keeping students involved and actively learning is challenging. Instructors in computer science are aware of the cognitive value of modelling puzzles and often use logical puzzles as an efficient pedagogical instrument to engage students and develop problem-solving skills. This unique book is a comprehensive resource that offers teachers and students fun activities to teach and learn logic. It provides new, complete, and running formalisation in Propositional and First Order Logic for over 130 logical puzzles, including Sudoku-like puzzles, zebra-like puzzles, island of truth, lady and tigers, grid puzzles, strange numbers, or self-reference puzzles. Solving puzzles with theorem provers can be an effective cognitive incentive to motivate students to learn logic. They will find a ready-to-use format which illustrates how to model each puzzle, provides running implementations, and explains each solution. This concise and easy-to-follow textbook is a much-needed support tool for students willing to explore beyond the introductory level of learning logic and lecturers looking for examples to heighten student engagement in their computer science courses.
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Logic puzzles.
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Mathematical Logic and Formal Languages.
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Logic in AI.
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Mathematical Logic and Foundations.
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Computer Science (SpringerNature-11645)
based on 0 review(s)
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EB QA95 .G884 2021 2021
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https://doi.org/10.1007/978-3-030-62547-4
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