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Books on the topic 'The rules of logic'

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Published: 2 June 2025

Last updated: 31 July 2025

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1

Faber, Wolfgang, and Adrian Paschke, eds. Reasoning Web. Web Logic Rules. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21768-0.

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2

Hwang, P'ir-hong. Nolli ŭi kyuch'iktŭl: Logical rules. Tan'guk Taehakkyo Ch'ulp'anbu, 2011.

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3

David, Braybrooke, ed. Social rules: Origin, character, logic, change. Westview Press, 1996.

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4

E, Nisbett Richard, ed. Rules for reasoning. L. Erlbaum Associates, 1993.

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5

Naur, Peter. Knowing and the Mystique of Logic and Rules. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8549-1.

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6

Console, Marco, and Boris Konev, eds. Reasoning Web. Declarative Artificial Intelligence: Knowledge, Rules, Logic. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80283-6.

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7

Royakkers, Lambèr M. M. Extending Deontic Logic for the Formalisation of Legal Rules. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9099-0.

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8

Royakkers, Lambèr M. M. Extending Deontic Logic for the Formalisation of Legal Rules. Springer Netherlands, 1998.

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9

Royakkers, Lambèr M. M. Extending deontic logic for the formalisation of legal rules. Kluwer Academic Publishers, 1998.

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10

Markov, Sergey. Logic, second edition. 2nd ed. Publishing Center RIOR, 2024. http://dx.doi.org/10.29039/01957-3.

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In the textbook, written in accordance with the Federal State Educational Standard for Higher Education and intended for university students (primarily in the humanities and specialties), logic is considered as a methodological basis and a tool for logically correct thinking. Topics for study include logical rules for dividing the scope of a concept, classification, topics of definitions of terms, logical rules for constructing normative statements, logic of questions and answers, rules and techniques of inference, hypothetico-deductive method, syllogistics, as well as other materials useful f

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11

1965-, Taylor James, and Larbi Sammy, eds. Drools JBoss Rules 5.0 developer's guide: Develop rules-based business logic using the Drools platform. Packt Pub., 2009.

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12

Bogen, David. Order without rules: Critical theory and the logic of conversation. State University of New York Press, 1999.

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13

Hage, J. C. Reasoning with rules: An essay on legal reasoning and its underlying logic. Kluwer Academic Publishers, 1997.

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14

Bright, Pamela. The Book of rules of Tyconius: Its purpose and inner logic. University of Notre Dame Press, 1988.

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15

Hage, Jaap C. Reasoning with rules: An essay on legal reasoning and itsunderlying logic. Kluwer Academic, 1997.

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16

Hage, Jaap C. Reasoning with Rules: An Essay on Legal Reasoning and Its Underlying Logic. Springer Netherlands, 1997.

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17

Comaroff, John L. Rules and processes, the cultural logic of dispute in an African context. University of Chicago Press, 1986.

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18

Grosof, Benjamin N. A declarative approach to business rules in contracts: Courteous logic programs in XML. MIT Sloan School of Management, 2001.

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19

Sinchenko, Georgiy. The logic of the dissertation. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2173831.

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The textbook is a set of rules, techniques and recommendations developed on the basis of formal logic. The minimum of formal and logical knowledge is presented in the form in which it can be directly used to solve a wide range of cognitive tasks of dissertation research. Tips and recommendations are given in a general context with an analysis of examples from dissertations, abstracts and publications in various fields of science. It is intended for applicants for the degree of Candidate of Sciences, and is of interest to applicants for the degree of Doctor of Sciences and anyone who wants to e

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20

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th

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21

Ruan, Da. Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications. Springer US, 2000.

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22

1625-1695, Nicole Pierre, and Buroker Jill Vance 1945-, eds. Logic, or, The art of thinking: Containing, besides common rules, several new observations appropriate for forming judgment. 5th ed. Cambridge University Press, 1996.

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23

Mendel, Jerry M. Uncertain rule-based fuzzy logic systems: Introduction and new directions. Prentice Hall, 2001.

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24

Descartes, René. Regulae ad directionem ingenii =: Rules for the direction of the natural intelligence : a bilingual edition of the Cartesian treatise on method. Rodopi, 1998.

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25

Carlin, Samuel Joseph. A fuzzy logic rule base in the Java programming language. The Author], 1998.

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26

Isaac, Watts. Logic, or, The right use of reason in the inquiry after truth with a variety of rules to guard against error in the affairs of religion and human life, as well as in the sciences. Soli Deo Gloria Publications, 1996.

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27

Mauro, Christine. Learning Logic Rules for Disease Classification: With an Application to Developing Criteria Sets for the Diagnostic and Statistical Manual of Mental Disorders. [publisher not identified], 2015.

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28

1949-, Hartley James E., and American Bar Association. Section of Antitrust Law., eds. The rule of reason. ABA Section of Antitrust Law, 1999.

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29

Geyer-Schulz, Andreas. Fuzzy rule-based expert systems and genetic machine learning. Physica-Verlag, 1995.

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30

Description logic rules. IOS Press, 2010.

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31

Najm al-Dīn al-Kātibī. Rules of Logic. New York University Press, 2024.

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32

Logic for Islamic Rules. Ansariyan Publications, 2003.

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33

Braybrooke, David. Social Rules: Origin; Character; Logic; Change. Taylor & Francis Group, 2018.

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34

Braybrooke, David. Social Rules: Origin; Character; Logic; Change. Westview Press, 1996.

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35

Social Rules: Origin; Character; Logic; Change. Westview Pr (Short Disc), 1996.

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36

Social Rules: Origin; Character; Logic; Change. Taylor & Francis Group, 2018.

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37

Nisbett, Richard E. Rules for Reasoning. Taylor & Francis Group, 2013.

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38

Nisbett, Richard E. Rules for Reasoning. Taylor & Francis Group, 2013.

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39

Nisbett, Richard E. Rules for Reasoning. Taylor & Francis Group, 2013.

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40

Rybakov, V. V. Admissibility of Logical Inference Rules. Elsevier Science & Technology Books, 1997.

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41

Naur, Peter. Knowing and the Mystique of Logic and Rules. Springer, 2010.

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42

Braybrooke, David. Social Rules. Taylor & Francis Group, 2019.

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43

Constraint Handling Rules. Cambridge University Press, 2008.

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44

Royakkers, L. L. Extending Deontic Logic for the Formalisation of Legal Rules. Springer, 2014.

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45

Tennant, Neil. Core Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777892.001.0001.

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Core Logic has unusual philosophical, proof-theoretic, metalogical, computational, and revision-theoretic virtues. It is an elegant kernel lying deep within Classical Logic, a canon for constructive and relevant deduction furnishing faithful formalizations of informal constructive mathematical proofs. Its classicized extension provides likewise for non-constructive mathematical reasoning. Confining one’s search to core proofs affords automated reasoners great gains in efficiency. All logico-semantical paradoxes involve only core reasoning. Core proofs are in normal form, and relevant in a high

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46

Lu-Adler, Huaping. The Making of a Scientific Logic from Bacon to Wolff. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190907136.003.0004.

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This chapter examines how Francis Bacon, Locke, Leibniz, and Wolff view the nature of logic and its role in our cognitive endeavors. Bacon initiates a “natural history” method by which to overhaul all philosophical sciences, including logic. Following this method, Locke measures the legitimacy of a putative logic against facts about the natural workings of human intellect and challenges the view that the Aristotelian syllogistic is necessary to the proper use of our reason. Leibniz responds to this challenge by making syllogism part of “universal logic” and by grounding a logical theory (logic

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47

Bright, Pamela. Book of Rules of Tyconius: Its Purpose and Inner Logic. University of Notre Dame Press, 2009.

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48

Tennant, Neil. From the Logic of Evaluation to the Logic of Deduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777892.003.0004.

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We deliver the details on the smooth morphing from the verification and falsification rules of the model-relative Logic of Evaluation to the model-invariant, deductive rules of Core Logic. There are good reasons for preferring the parallelized forms of certain elimination rules in natural deduction (the ones for conjunction, the conditional, and the universal quantifier) to their more conventional serial forms. We explain how ⊥ can make its way into proofs as a conclusion, as required for applications of ¬-Introduction. We discuss the notion of harmony between introduction and elimination rule

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49

Descartes, René. Rules for the Direction of the Mind. Bobbs-Merrill Co, 2000.

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50

Tennant, Neil. The Logic of Evaluation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777892.003.0003.

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Sentences of propositional logic may be verified or falsified with respect to an atomic basis. Verifications and falsifications are co-inductively defined. The rules generating them justify the truth tables row by row, left to right. Model-relative rules verifying universals or falsifying existentials can generate ‘infinite sideways branchings’ within evaluations. If a sentence has both a verification and a falsification, then a particular atom occurs with its negation in the basis. This presages how any ‘failure’ of transitivity with any two core proofs is offset by proof that their combined

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