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For other uses see Logic (disambiguation).

**Logic** is the study of the principles of valid demonstration and inference. Logic is a branch of philosophy, a part of the classical trivium. The word derives from Greek *λογική* (*logike*), fem. of *λογικός* (*logikos*), "possessed of reason, intellectual, dialectical, argumentative", from *λόγος* logos, "word, thought, idea, argument, account, reason, or principle".^{[1]} ^{[2]}

Logic concerns the structure of statements and arguments, in formal systems of inference and natural language. Topics include validity, fallacies and paradoxes, reasoning using probability and arguments involving causality. Logic is also commonly used today in argumentation theory.^{[3]}

The syllogistic logic developed by Aristotle predominated until the mid-nineteenth century when interest in the foundations of mathematics stimulated the development of symbolic logic (now called mathematical logic). In 1879 Frege published Begriffsschrift which inaugurated modern logic with the invention of quantifier notation. In 1903 Alfred North Whitehead and Bertrand Russell published Principia Mathematica^{[4]} on the foundations of mathematics, attempting to derive mathematical truths from axioms and inference rules in symbolic logic. In 1931 Gödel raised serious problems with the foundationalist program and logic ceased to focus on such issues.

The development of logic since Frege, Russell and Wittgenstein had a profound influence on the practice of philosophy and the perceived nature of philosophical problems (see Analytic philosophy), and Philosophy of mathematics. Logic, especially sentential logic, is implemented in computer logic circuits and is fundamental to computer science. Logic is commonly taught by university philosophy departments often as a compulsory discipline.

The concept of logical form is central to logic; it being held that the validity of an argument is determined by its logical form, not by its content. Traditional Aristotelian syllogistic logic and modern symbolic logic are examples of formal logics.

**Informal logic**is the study of natural language arguments. The study of fallacies is an especially important branch of informal logic. The dialogues of Plato^{[5]}are a good example of informal logic.**Formal logic**is the study of inference with purely formal content, where that content is made explicit. (An inference possesses a*purely formal content*if it can be expressed as a particular application of a wholly abstract rule, that is, a rule that is not about any particular thing or property. The works of Aristotle contain the earliest known formal study of logic, which were incorporated in the late nineteenth century into modern formal logic.^{[6]}In many definitions of logic, logical inference and inference with purely formal content are the same. This does not render the notion of informal logic vacuous, because no formal logic captures all of the nuance of natural language.)**Symbolic logic**is the study of symbolic abstractions that capture the formal features of logical inference.^{[4]}^{[7]}Symbolic logic is often divided into two branches, propositional logic and predicate logic.**Mathematical logic**is an extension of symbolic logic into other areas, in particular to the study of model theory, proof theory, set theory, and recursion theory.

Among the important properties that logical systems can have are:

**Consistency**, which means that no theorem of the system contradicts another.

**Soundness**, which means that the system's rules of proof will never allow a false inference from a true premise. If a system is sound and its axioms are true then its theorems are also guaranteed to be true.

**Completeness**, which means that there are no true sentences in the system that cannot, at least in principle, be proved in the system.

Not all systems achieve all three virtues. The work of Kurt Gödel has shown that no useful system of arithmetic can be both consistent and complete: see Gödel's incompleteness theorems.^{[7]}

Logic arose (see below) from a concern with correctness of argumentation. Modern logicians usually wish to ensure that logic studies just those arguments that arise from appropriately general forms of inference; so for example the Stanford Encyclopedia of Philosophy says of logic that it "does not, however, cover good reasoning as a whole. That is the job of the theory of rationality. Rather it deals with inferences whose validity can be traced back to the formal features of the representations that are involved in that inference, be they linguistic, mental, or other representations" (Hofweber 2004).

By contrast, Immanuel Kant argued that logic should be conceived as the science of judgment, an idea taken up in Gottlob Frege's logical and philosophical work, where thought (German: *Gedanke*) is substituted for judgement (German: *Urteil*). On this conception, the valid inferences of logic follow from the structural features of judgements or thoughts.

Deductive reasoning concerns what follows necessarily from given premises. However, inductive reasoning - the process of deriving a reliable generalization from observations - has sometimes been included in the study of logic. Correspondingly, we must distinguish between deductive validity and inductive validity (called "cogency"). An inference is deductively valid if and only if there is no possible situation in which all the premises are true and the conclusion false. The notion of deductive validity can be rigorously stated for systems of formal logic in terms of the well-understood notions of semantics. Inductive validity on the other hand requires us to define a reliable generalization of some set of observations. The task of providing this definition may be approached in various ways, some less formal than others; some of these definitions may use mathematical models of probability. For the most part this discussion of logic deals only with deductive logic.

See main article: History of logic.

Several ancient civilizations have employed intricate systems of reasoning and asked questions about logic or propounded logical paradoxes. In India, the Nasadiya Sukta of the *Rigveda* (RV 10.129) contains ontological speculation in terms of various logical divisions that were later recast formally as the four circles of *catuskoti*: "**A**", "**not A**", "**A and not A**", and "**not A and not not A**".^{[8]} The Chinese philosopher Gongsun Long (ca. 325–250 BC) proposed the paradox "One and one cannot become two, since neither becomes two."^{[9]} In China, the tradition of scholarly investigation into logic, however, was repressed by the Qin dynasty following the legalist philosophy of Han Feizi.

The earliest sustained work on the subject of logic which has survived was that of Aristotle,^{[10]} although the Chinese 'School of Names' is recorded as having examined logical puzzles such as "A White Horse is not a Horse" as early as the fifth century BCE.^{[11]} The formally sophisticated treatment of modern logic descends from the Greek tradition, the latter mainly being informed from the transmission of Aristotelian logic.

Logic in Islamic philosophy also contributed to the development of modern logic, which included the development of "Avicennian logic" as an alternative to Aristotelian logic. Avicenna's system of logic was responsible for the introduction of hypothetical syllogism,^{[12]} temporal modal logic,^{[13]} ^{[14]} and inductive logic.^{[15]} ^{[16]} The rise of the Asharite school, however, limited original work on logic in Islamic philosophy, though it did continue into the 15th century and had a significant influence on European logic during the Renaissance.

In India, innovations in the scholastic school, called Nyaya, continued from ancient times into the early 18th century, though it did not survive long into the colonial period. In the 20th century, Western philosophers like Stanislaw Schayer and Klaus Glashoff have tried to explore certain aspects of the Indian tradition of logic.

During the later medieval period, major efforts were made to show that Aristotle's ideas were compatible with Christian faith. During the later period of the Middle Ages, logic became a main focus of philosophers, who would engage in critical logical analyses of philosophical arguments.

In the late 19th and early 20th centuries, there were many attempts by mathematicians such as David Hilbert and Bertrand Russell to express logic mathematically. Today mathematical logic is an important area of mathematics.

See main article: Aristotelian logic.

The *Organon* was Aristotle's body of work on logic, with the *Prior Analytics* constituting the first explicit work in formal logic, introducing the syllogistic. The parts of syllogistic, also known by the name term logic, were the analysis of the judgements into propositions consisting of two terms that are related by one of a fixed number of relations, and the expression of inferences by means of syllogisms that consisted of two propositions sharing a common term as premise, and a conclusion which was a proposition involving the two unrelated terms from the premises.

Aristotle's work was regarded in classical times and from medieval times in Europe and the Middle East as the very picture of a fully worked out system. It was not alone: the Stoics proposed a system of propositional logic that was studied by medieval logicians; nor was the perfection of Aristotle's system undisputed; for example the problem of multiple generality was recognised in medieval times. Nonetheless, problems with syllogistic logic were not seen as being in need of revolutionary solutions.

Today, some academics claim that Aristotle's system is generally seen as having little more than historical value (though there is some current interest in extending term logics), regarded as made obsolete by the advent of propositional logic and the predicate calculus. Others use Aristotle in argumentation theory to help develop and critically question argumentation schemes that are used in artificial intelligence and legal arguments.

See main article: Propositional calculus. A propositional calculus or logic (also a sentential calculus) is a formal system in which formulae representing propositions can be formed by combining atomic propositions using logical connectives, and a system of formal proof rules allows certain formulæ to be established as "theorems".

See main article: Predicate logic.

Predicate logic is the generic term for symbolic formal systems like first-order logic, Second-order logic, many-sorted logic or infinitary logic.

Whereas Aristotelian syllogistic logic specified the forms that the relevant part of the involved judgements took, predicate logic allows sentences to be analysed into subject and argument in several different ways, thus allowing predicate logic to solve the problem of multiple generality that had perplexed medieval logicians. Predicate logic provides an account of quantifiers general enough to express a wider set of arguments occurring in natural language.

The development of predicate logic is usually attributed to Gottlob Frege, who is also credited as one of the founders of analytical philosophy, but the formulation of predicate logic most often used today is the first-order logic presented in Principles of Theoretical Logic by David Hilbert and Wilhelm Ackermann in 1928. The analytical generality of the predicate logic allowed the formalisation of mathematics, and drove the investigation of set theory, allowed the development of Alfred Tarski's approach to model theory; it is no exaggeration to say that it is the foundation of modern mathematical logic.

Frege's original system of predicate logic was not first-, but second-order. Second-order logic is most prominently defended (against the criticism of Willard Van Orman Quine and others) by George Boolos and Stewart Shapiro.

See main article: Modal logic.

In languages, modality deals with the phenomenon that sub-parts of a sentence may have their semantics modified by special verbs or modal particles. For example, "*We go to the games*" can be modified to give "*We should go to the games*", and "*We can go to the games*"" and perhaps "*We will go to the games*". More abstractly, we might say that modality affects the circumstances in which we take an assertion to be satisfied.

The logical study of modality dates back to Aristotle, who was concerned with the alethic modalities of necessity and possibility, which he observed to be dual in the sense of De Morgan duality. While the study of necessity and possibility remained important to philosophers, little logical innovation happened until the landmark investigations of Clarence Irving Lewis in 1918, who formulated a family of rival axiomatizations of the alethic modalities. His work unleashed a torrent of new work on the topic, expanding the kinds of modality treated to include deontic logic and epistemic logic. The seminal work of Arthur Prior applied the same formal language to treat temporal logic and paved the way for the marriage of the two subjects. Saul Kripke discovered (contemporaneously with rivals) his theory of frame semantics which revolutionised the formal technology available to modal logicians and gave a new graph-theoretic way of looking at modality that has driven many applications in computational linguistics and computer science, such as dynamic logic.

See main article: Informal logic.

The motivation for the study of logic in ancient times was clear: it is so that one may learn to distinguish good from bad arguments, and so become more effective in argument and oratory, and perhaps also to become a better person. Half of the works of Aristotle's Organon treat inference as it occurs in an informal setting, side by side with the development of the syllogistic, and in the Aristotelian school, these informal works on logic were seen as complementary to Aristotle's treatment of rhetoric.

This ancient motivation is still alive, although it no longer takes centre stage in the picture of logic; typically dialectical logic will form the heart of a course in critical thinking, a compulsory course at many universities.

Argumentation theory is the study and research of informal logic, fallacies, and critical questions as they relate to every day and practical situations. Specific types of dialogue can be analyzed and questioned to reveal premises, conclusions, and fallacies. Argumentation theory is now applied in artificial intelligence and law.

See main article: Mathematical logic.

Mathematical logic really refers to two distinct areas of research: the first is the application of the techniques of formal logic to mathematics and mathematical reasoning, and the second, in the other direction, the application of mathematical techniques to the representation and analysis of formal logic.

The earliest use of mathematics and geometry in relation to logic and philosophy goes back to the ancient Greeks such as Euclid, Plato, and Aristotle. Many other ancient and medieval philosophers applied mathematical ideas and methods to their philosophical claims.

The boldest attempt to apply logic to mathematics was undoubtedly the logicism pioneered by philosopher-logicians such as Gottlob Frege and Bertrand Russell: the idea was that mathematical theories were logical tautologies, and the programme was to show this by means to a reduction of mathematics to logic.^{[17]} The various attempts to carry this out met with a series of failures, from the crippling of Frege's project in his *Grundgesetze* by Russell's paradox, to the defeat of Hilbert's program by Gödel's incompleteness theorems.

Both the statement of Hilbert's program and its refutation by Gödel depended upon their work establishing the second area of mathematical logic, the application of mathematics to logic in the form of proof theory.^{[18]} Despite the negative nature of the incompleteness theorems, Gödel's completeness theorem, a result in model theory and another application of mathematics to logic, can be understood as showing how close logicism came to being true: every rigorously defined mathematical theory can be exactly captured by a first-order logical theory; Frege's proof calculus is enough to *describe* the whole of mathematics, though not *equivalent* to it. Thus we see how complementary the two areas of mathematical logic have been.

If proof theory and model theory have been the foundation of mathematical logic, they have been but two of the four pillars of the subject. Set theory originated in the study of the infinite by Georg Cantor, and it has been the source of many of the most challenging and important issues in mathematical logic, from Cantor's theorem, through the status of the Axiom of Choice and the question of the independence of the continuum hypothesis, to the modern debate on large cardinal axioms.

Recursion theory captures the idea of computation in logical and arithmetic terms; its most classical achievements are the undecidability of the Entscheidungsproblem by Alan Turing, and his presentation of the Church-Turing thesis.^{[19]} Today recursion theory is mostly concerned with the more refined problem of complexity classes — when is a problem efficiently solvable? — and the classification of degrees of unsolvability.^{[20]}

See main article: Philosophical logic.

Philosophical logic deals with formal descriptions of natural language. Most philosophers assume that the bulk of "normal" proper reasoning can be captured by logic, if one can find the right method for translating ordinary language into that logic. Philosophical logic is essentially a continuation of the traditional discipline that was called "Logic" before the invention of mathematical logic. Philosophical logic has a much greater concern with the connection between natural language and logic. As a result, philosophical logicians have contributed a great deal to the development of non-standard logics (e.g., free logics, tense logics) as well as various extensions of classical logic (e.g., modal logics), and non-standard semantics for such logics (e.g., Kripke's technique of supervaluations in the semantics of logic).

Logic and the philosophy of language are closely related. Philosophy of language has to do with the study of how our language engages and interacts with our thinking. Logic has an immediate impact on other areas of study. Studying logic and the relationship between logic and ordinary speech can help a person better structure their own arguments and critique the arguments of others. Many popular arguments are filled with errors because so many people are untrained in logic and unaware of how to correctly formulate an argument.

See main article: Logic in computer science.

Logic cut to the heart of computer science as it emerged as a discipline: Alan Turing's work on the Entscheidungsproblem followed from Kurt Gödel's work on the incompleteness theorems, and the notion of general purpose computers that came from this work was of fundamental importance to the designers of the computer machinery in the 1940s.

In the 1950s and 1960s, researchers predicted that when human knowledge could be expressed using logic with mathematical notation, it would be possible to create a machine that reasons, or artificial intelligence. This turned out to be more difficult than expected because of the complexity of human reasoning. In logic programming, a program consists of a set of axioms and rules. Logic programming systems such as Prolog compute the consequences of the axioms and rules in order to answer a query.

Today, logic is extensively applied in the fields of artificial intelligence, and computer science, and these fields provide a rich source of problems in formal and informal logic. Argumentation theory is one good example of how logic is being applied to artificial intelligence. The ACM Computing Classification System in particular regards:

- Section F.3 on Logics and meanings of programs and F. 4 on Mathematical logic and formal languages as part of the theory of computer science: this work covers formal semantics of programming languages, as well as work of formal methods such as Hoare logic
- Boolean logic as fundamental to computer hardware: particularly, the system's section B.2 on Arithmetic and logic structures, relating to operatives AND, NOT, and OR;
- Many fundamental logical formalisms are essential to section I.2 on artificial intelligence, for example modal logic and default logic in Knowledge representation formalisms and methods, Horn clauses in logic programming, and description logic.

Furthermore, computers can be used as tools for logicians. For example, in symbolic logic and mathematical logic, proofs by humans can be computer-assisted. Using automated theorem proving the machines can find and check proofs, as well as work with proofs too lengthy to be written out by hand.

Hegel was deeply critical of any simplified notion of the Law of Non-Contradiction. It was based on Leibniz's idea that this law of logic also requires a sufficient ground in order to specify from what point of view (or time) one says that something cannot contradict itself, a building for example both moves and does not move, the ground for the first is our solar system for the second the earth. In Hegelian dialectic the law of non-contradiction, of identity, itself relies upon difference and so is not independently assertable.

Hegel developed his own dialectic logic that extended Kant's transcendental logic but also brought it back to ground by assuring us that "neither in heaven nor in earth, neither in the world of mind nor of nature, is there anywhere such an abstract 'either--or' as the understanding maintains. Whatever exists is concrete, with difference and opposition in itself"^{[21]}

"Logic, too, also rests on assumptions that do not correspond to anything in the real world." ^{[22]}

Just as we have seen there is disagreement over what logic is about, so there is disagreement about what logical truths there are.

See main article: Principle of bivalence.

The logics discussed above are all "bivalent" or "two-valued"; that is, they are most naturally understood as dividing propositions into true and false propositions. Non-classical logics are those systems which reject bivalence.

In 1910 Nicolai A. Vasiliev rejected the law of excluded middle and the law of contradiction and proposed the law of excluded fourth and logic tolerant to contradiction. In the early 20th century Jan Łukasiewicz investigated the extension of the traditional true/false values to include a third value, "possible", so inventing ternary logic, the first multi-valued logic.

Logics such as fuzzy logic have since been devised with an infinite number of "degrees of truth", represented by a real number between 0 and 1.

Intuitionistic logic was proposed by L.E.J. Brouwer as the correct logic for reasoning about mathematics, based upon his rejection of the law of the excluded middle as part of his intuitionism. Brouwer rejected formalisation in mathematics, but his student Arend Heyting studied intuitionistic logic formally, as did Gerhard Gentzen. Intuitionistic logic has come to be of great interest to computer scientists, as it is a constructive logic, and is hence a logic of what computers can do.

Modal logic is not truth conditional, and so it has often been proposed as a non-classical logic. However, modal logic is normally formalised with the principle of the excluded middle, and its relational semantics is bivalent, so this inclusion is disputable.

See main article: Paradox of entailment.

It is obvious that the notion of implication formalised in classical logic does not comfortably translate into natural language by means of "if… then…", due to a number ofproblems called the *paradoxes of material implication*.

The first class of paradoxes involves counterfactuals, such as "If the moon is made of green cheese, then 2+2=5", which are puzzling because natural language does not support the principle of explosion. Eliminating this class of paradoxes was the reason for C. I. Lewis's formulation of strict implication, which eventually led to more radically revisionist logics such as relevance logic.

The second class of paradoxes involves redundant premises, falsely suggesting that we know the succedent because of the antecedent: thus "if that man gets elected, granny will die" is materially true if granny happens to be in the last stages of a terminal illness, regardless of the man's election prospects. Such sentences violate the Gricean maxim of relevance, and can be modelled by logics that reject the principle of monotonicity of entailment, such as relevance logic.

See main article: Paraconsistent logic.

Closely related to questions arising from the paradoxes of implication comes the suggestion that logic ought to tolerate inconsistency. Relevance logic and paraconsistent logic are the most important approaches here, though the concerns are different: a key consequence of classical logic and some of its rivals, such as intuitionistic logic, is that they respect the principle of explosion, which means that the logic collapses if it is capable of deriving a contradiction. Graham Priest, the main proponent of dialetheism, has argued for paraconsistency on the grounds that there are in fact, true contradictions.^{[23]}

See main article: Is logic empirical?. What is the epistemological status of the laws of logic? What sort of argument is appropriate for criticising purported principles of logic? In an influential paper entitled "Is logic empirical?"^{[24]} Hilary Putnam, building on a suggestion of W.V. Quine, argued that in general the facts of propositional logic have a similar epistemological status as facts about the physical universe, for example as the laws of mechanics or of general relativity, and in particular that what physicists have learned about quantum mechanics provides a compelling case for abandoning certain familiar principles of classical logic: if we want to be realists about the physical phenomena described by quantum theory, then we should abandon the principle of distributivity, substituting for classical logic the quantum logic proposed by Garrett Birkhoff and John von Neumann.^{[25]}

Another paper by the same name by Sir Michael Dummett argues that Putnam's desire for realism mandates the law of distributivity.^{[26]} Distributivity of logic is essential for the realist's understanding of how propositions are true of the world in just the same way as he has argued the principle of bivalence is. In this way, the question, "Is logic empirical?" can be seen to lead naturally into the fundamental controversy in metaphysics on realism versus anti-realism.

- Brookshear, J. Glenn (1989),
*Theory of computation : formal languages, automata, and complexity*, Benjamin/Cummings Pub. Co., Redwood City, Calif. ISBN 0805301437 - Cohen, R.S, and Wartofsky, M.W. (1974),
*Logical and Epistemological Studies in Contemporary Physics*, Boston Studies in the Philosophy of Science, D. Reidel Publishing Company, Dordrecht, Netherlands. ISBN 90-277-0377-9. - Finkelstein, D. (1969), "Matter, Space, and Logic", in R.S. Cohen and M.W. Wartofsky (eds. 1974).
- Gabbay, D.M., and Guenthner, F. (eds., 2001–2005),
*Handbook of Philosophical Logic*, 13 vols., 2nd edition, Kluwer Publishers, Dordrecht. - Vincent F. Hendricks,
*Thought 2 Talk: A Crash Course in Reflection and Expression*, New York: Automatic Press / VIP, 2005, ISBN 87-991013-7-8. - Hilbert, D., and Ackermann, W. (1928),
*Grundzüge der theoretischen Logik*(*Principles of Theoretical Logic*), Springer-Verlag. OCLC 2085765 - Hodges, W. (2001),
*Logic. An introduction to Elementary Logic*, Penguin Books. - Hofweber, T. (2004), "Logic and Ontology",
*Stanford Encyclopedia of Philosophy*, Edward N. Zalta (ed.), Eprint. - Hughes, R.I.G. (ed., 1993),
*A Philosophical Companion to First-Order Logic*, Hackett Publishing. - Kneale, William, and Kneale, Martha, (1962),
*The Development of Logic*, Oxford University Press, London, UK. - Mendelson, Elliott (1964),
*Introduction to Mathematical Logic*, Wadsworth & Brooks/Cole Advanced Books & Software, Monterey, Calif. OCLC 13580200 - Smith, B. (1989), "Logic and the Sachverhalt",
*The Monist*72(1), 52–69. - Whitehead, Alfred North and Bertrand Russell (1910),
*Principia Mathematica*, The University Press, Cambridge, England. OCLC 1041146 - Raymond m. Smullyan,
*First-order logic*

- The London Philosophy Study Guide offers many suggestions on what to read, depending on the student's familiarity with the subject:
- Carroll, Lewis
- Samuel D. Guttenplan, Samuel D., Tamny, Martin, "Logic, a Comprehensive Introduction", Basic Books, 1971.
- Scriven, Michael, "Reasoning", McGraw-Hill, 1976, ISBN 0-07-055882-5
- Susan Haack. (1996).
*Deviant Logic, Fuzzy Logic: Beyond the Formalism*, University of Chicago Press. - Nicolas Rescher. (1964).
*Introduction to Logic*, St. Martin's Press.

- Aristotle
- Artificial intelligence
- Deductive reasoning
- Digital electronics (also known as
*digital logic*) - Indian Logic
- Inductive reasoning
- Logic puzzle
- Logical consequence
- Mathematical logic
- Mathematics

- Philosophy
- Probabilistic logic
- Propositional logic
- Reason
- Straight and Crooked Thinking (book)
- Table of logic symbols
- Term logic
- Truth

- An Introduction to Philosophical Logic, by Paul Newall, aimed at beginners.

- forall x: an introduction to formal logic, by P.D. Magnus, covers sentential and quantified logic.
- Logic Self-Taught: A Workbook (originally prepared for on-line logic instruction).
- The limits of reason, by Gregory Chaitin
- Math & Logic: The history of formal mathematical, logical, linguistic and methodological ideas. In
*The Dictionary of the History of Ideas.* - Test your logic skills.
- Translation Tips, by Peter Suber, for translating from English into logical notation.
- JFuzzyLogic: Open Source Fuzzy Logic Package + FCL (sourceforge, java)

- http://www.perseus.tufts.edu/cgi-bin/ptext?doc=Perseus%3Atext%3A1999.04.0057%3Aentry%3D%2363716 Logikos, Henry George Liddell, Robert Scott,
*A Greek-English Lexicon*, at Perseus - http://www.etymonline.com/index.php?term=logic Online Etymological Dictionary
- J. Robert Cox and Charles Arthur Willard, eds.
*Advances in Argumentation Theory and Research*, Southern Illinois University Press, 1983 ISBN 0809310503, ISBN 978-0809310500 - Alfred North Whitehead and Bertrand Russell,
*Principia Mathematical to *56*, Cambridge University Press, 1967, ISBN 0-521-62606-4 - Plato,
*The Portable Plato*, edited by Scott Buchanan, Penguin, 1976, ISBN 0-14-015040-4 - Aristotle,
*The Basic Works*, Richard Mckeon, editor, Modern Library, 2001, ISBN 0-375-75799-6, see especially,*Posterior Analytics*. - For a more modern treatment, see A. G. Hamilton,
*Logic for Mathematicians*, Cambridge, 1980, ISBN 0-521-29291-3 - [Subhash Kak|S. Kak]
- McGreal 1995, p. 33
- Morris Kline, "Mathematical Thought From Ancient to Modern Times, Oxford University Press, 1972, ISBN 0-19-506135-7, p.53 "A major achievement of Aristotle was the founding of the science of logic."
- http://plato.stanford.edu/entries/school-names/ accessed 5 September 2008
- Lenn Evan Goodman (2003),
*Islamic Humanism*, p. 155, Oxford University Press, ISBN 0195135806. - http://www.britannica.com/ebc/article-65928 History of logic: Arabic logic
- Dr. Lotfollah Nabavi, Sohrevardi's Theory of Decisive Necessity and kripke's QSS System,
*Journal of Faculty of Literature and Human Sciences*. - http://www.islamherald.com/asp/explore/science/science_muslim_scientists.asp Science and Muslim Scientists
- Wael B. Hallaq (1993),
*Ibn Taymiyya Against the Greek Logicians*, p. 48. Oxford University Press, ISBN 0198240430. - Whitehead & Russell, "Chapter I: Preliminary Explanations of Ideas and Notation"
- Mendelson, "Formal Number Theory: Gödel's Incompleteness Theorem"
- Brookshear, "Computability: Foundations of Recursive Function Theory"
- Brookshear, "Complexity"
- Hegel's Philosophy of Mind: Being Part Three of the Encyclopaedia of Philosophical Sciences, trans. William Wallace, (Oxford: Clarendon Press, 1971) p. 174
- Nietzsche, Human, All-Too-Human, trans Kaufmann “On First and Last Things,” section 11 (1878).
- [Graham Priest|Priest, Graham]
- Putnam, H. (1969), "Is Logic Empirical?",
*Boston Studies in the Philosophy of Science*. 5. - Birkhoff, G., and von Neumann, J. (1936), "The Logic of Quantum Mechanics",
*Annals of Mathematics*37, 823–843. - Dummett, M. (1978), "Is Logic Empirical?",
*Truth and Other Enigmas*. ISBN 0-674-91076-1