The course focuses on the processes of mathematical reasoning, argument, and discovery. Topics include propositional and first order logic, learning proofs through puzzles and games, axiomatic approach to group theory, number theory, and set theory, abstract properties of relations and functions, elementary graph theory, sets of different ...
Jon Barwise and John Etchemendy, Language Proof and Logic, 2nd edition (University of Chicago Press, 2003) It briefly covers some course topics (resolution and unification) but omits many others (BDDs, the DPLL method, modal logic). Formal proofs are done in the Fitch style instead of using the sequent calculus. The book comes with a CD-ROM
The course should help you to understand Prolog and is a prerequisite for more advanced verification courses. It describes many techniques used in automated theorem provers. Understanding the various deductive methods is a crucial part of the course, but you should also try to acquire some intuitions about logic. A suitable course text is
EET125 Lab#1 Properties of Logic Gates_9_5_19.pdf. Old Dominion University. LOGIC AND MICROPROCESSOR LAB. EET 125 - Spring 2014. Register Now. EET125 Lab#1 Properties of Logic Gates_9_5_19.pdf. 3 pages. EET125-I Lab#5 Decoder_10_22_19.pdf. Old Dominion University.
Course description A study of the most basic forms of reasoning and their linguistic expressions, this course provides an introduction to the traditional theory of syllogism, contemporary symbolic logic, the nature of scientific reasoning, and the relationship between logic and language.
Online Logic Courses and Programs Logic and Computational Thinking is a free online course from Microsoft that will give you and introduction to logic, critical thinking and analytical reasoning.
proof, in logic, an argument that establishes the validity of a proposition. Although proofs may be based on inductive logic, in general the term proof connotes a rigorous deduction.
0:337:43Logic 101 (#36): Introduction to Proofs - YouTubeYouTubeStart of suggested clipEnd of suggested clipSo in a proof we take premises. Things that we assume are true and what we want to do with those isMoreSo in a proof we take premises. Things that we assume are true and what we want to do with those is show that something. Else must be true as a consequence.
Logic courses can be a very challenging but enjoyable class. Yes, whether you like the class matters, and students who enjoy logic puzzles will probably love diving into the depths of their homework and, later, LSAT formal logic.Feb 22, 2011
The courses in logic at Harvard cover all of the major areas of mathematical logic—proof theory, recursion theory, model theory, and set theory—and, in addition, there are courses in closely related areas, such as the philosophy and foundations of mathematics, and theoretical issues in the theory of computation.
Two-column, paragraph, and flowchart proofs are three of the most common geometric proofs. They each offer different ways of organizing reasons and statements so that each proof can be easily explained.Jan 21, 2021
EuclidEuclid, The Father of Geometry.Sep 2, 2018
A proof rule is a rule in natural deduction which allows one to infer the validity of propositional formulas from other propositional formulas.Oct 11, 2017
Emotional proofs are claims or reasoning that draws the audience in by using the emotions to choose the side of the argument they are for or against. Two emotional proofs that are used are motivational proofs and value proofs.
Any argument with the form just stated is valid. This form of argument is called a disjunctive syllogism. Basically, the argument gives you two options and says that, since one option is FALSE, the other option must be TRUE.
Logic & Proofs is an introduction to modern symbolic logic, covering sentential and predicate logic (with identity). The course is highly interactive and engaging. It brings a fresh perspective to classical material by focusing on developing two crucial logical skills: strategic construction of proofs and the systematic search for counterexamples.
Introductory logic course designed for students from a broad range of disciplines, from mathematics and computer science to drama and creative writing.#N #Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
In the TruthLab, the semantic counterpart to the ProofLab, students practice techniques for a semantic analysis of formulae and arguments. They begin with chasing truth up a parse tree, then complete truth-tables, and ultimately learn to build truth-trees for predicate formulae involving identity.
Description. Logic is a remarkable discipline. It is deeply tied to mathematics and philosophy, as correctness of argumentation is particularly crucial for these abstract disciplines. Logic systematizes and analyzes steps in reasoning: correct steps guarantee the truth of their conclusion given the truth of their premise (s);
A full version of Logic & Proofs, including both sentential and predicate logic, is also available without technical or instructor support to independent users, for a small fee. No credit is awarded for completing either the Open & Free Logic & Proofs course or the full, unsupported, Independent Paid version of the Logic & Proofs course.
Logic plays an important role in many disciplines, including Philosophy and Mathematics, but it is particularly central to Computer Science and sometimes referred to as the calculus of Computer Science.
Logic for Computer Scientists . Uwe Schoning. Modern Birkäuser Classics, Reprint of the 1989 edition.
First-order logic (FOL) extends propositional logic to allow reasoning about the members ( such as numbers) of somenon-empty universe. It uses the (‘for all’) (‘there exists’). First-order logic has variables ranging over‘individuals,’ but not over functions or predicates; such and9quantifiers8variables are found in second- or higher-order logic.
Propositional Logic is a formal language. Each formula has a meaning (or semantics) — eithertorf— relative to themeaning of the propositional symbols it contains. The meaning can be calculated using the standard truth tables.
We shall mainly look atS4, which is one of the mainstream modal logics. As mentioned above, S4 assumes that theaccessibility relation is reflexive and transitive. If you want an intuition, think of the flow of time. Here are someS4statements with their intuitive meanings:
Formal logic is used for specifying and verifying computer systems and (sometimes) forrepresenting knowledge in Artificial Intelligence programs.
Finally we have the Skolem-Gödel-Herbrand theorem. A version of the Completeness Theorem, it tells us that unsatis-fiability can always be detected by afiniteprocess. It does not tell us how to detect satisfiability, for there is no generalmethod.8
Propositional logic is the basis of many proof methods forfirst-order logic. Eliminating the quantifiers from a first-order formula reduces it “almost” to propositional logic.This section describes how to do so.
class of mathematical problems is calleddecidableifthere exists an algorithm for determining whether a givenproblem has a solution or not. Such an algorithm is called adecision procedurefor that class of problems. For example,it is decidable whether or not a given string is accepted bya given finite state machine.
The theory of lists with head, tail, cons is also decidable.Combinations of decidable theories remain decidable undercertain circumstances, e.g., the theory of arrays with lineararithmetic subscripts. The seminal publication, still citedtoday, is Nelson and Oppen [1980].
We need one more concept: that of a proof. Specifically, we’ll start with the most fundamental kind of proof, which is called a “direct proof”. The idea of a direct proof is: we write down as numbered lines the premises of our argument. Then, after this, we can write down any line that is justified by an application of an inference rule to earlier lines in the proof. When we write down our conclusion, we are done.
Here is the idea that we will pursue. A valid argument is an argument such that, necessarily, if the premises are true, then the conclusion is true. We will start just with our premises.
That is a complete direct proof. Notice a few things. The numbering of each line, and the explanations to the right, are bookkeeping; they are not part of our argument, but rather are used to explain our argument. However, always do them because, it is hard to understand a proof without them.
Relational Logic allows us to axiomatize worlds with varying numbers of objects. The main restriction is that the worlds must be finite (since we have only finitely many constants to refer to these objects). Often, we want to describe worlds with infinitely many objects.
One way to get infinitely many terms is to allow our vocabulary to have infinitely many object constants. While there is nothing wrong with this in principle, it makes the job of axiomatizing things effectively impossible, as we would have to write out infinitely many sentences in many cases.
The language of Functional Logic is almost the same as for Relational Logic. The only difference is the addition of functional terms. This may seem like a small change, but those functional terms make all the difference in the world. They make the language more expressive, but they also destory some of the nice logical and computational properties possessed by Propositional Logic and Relational Logic.
As we have seen, there is a sound and complete proof procedure for Relational Logic (i.e. Fitch). Unfortunately, this proof procedure, while sound for Functional Logic, is not complete. Moreover, even if we add in induction, the procedure is still not complete.
The Hilbert proof system is conceptually quite simple. However, it is not particularly practical . Most people find it difficult to decide which schemas need to be included and how to instantiate them. The upshot is that it is difficult to produce proofs of even the simplest of results, and the proofs are often more verbose than they need to be.
Relational Logic is more complex than Propositional Logic, but it is also more useful. Useful in thinking and communicating and useful in interacting with logic-enabled Computer Systems. This week, we look at two proof systems for Relational Logic - a natural deduction system and a refutation system.