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  2. Logic games - Wikipedia

    en.wikipedia.org/wiki/Logic_games

    Logic games, abbreviated LG, and officially referred to as analytical reasoning, is one of three types of sections that appear on the Law School Admission Test (LSAT). A logic games section contains four 5-8 question "games", totaling 22-25 questions. Each game contains a scenario and a set of rules that govern the scenario, followed by ...

  3. Law School Admission Test - Wikipedia

    en.wikipedia.org/wiki/Law_School_Admission_Test

    The Law School Admission Test (LSAT / ˈɛlsæt / EL-sat) is a standardized test administered by the Law School Admission Council (LSAC) for prospective law school candidates. It is designed to assess reading comprehension and logical reasoning. [5]

  4. LSAT Logical Reasoning Questions: What to Know - AOL

    www.aol.com/news/lsat-logical-reasoning...

    Logical arguments are simple chains of statements people make to explain something they believe or notice about themselves, other people or the world at large. LSAT Logical Reasoning Questions ...

  5. 4 Types of LSAT Logic Game Questions - AOL

    www.aol.com/news/4-types-lsat-logic-game...

    Many test-takers find the logic games on the analytical reasoning section of the LSAT the most intimidating part of the test. But like everything on the LSAT, completing logic games with speed and ...

  6. Logical reasoning - Wikipedia

    en.wikipedia.org/wiki/Logical_reasoning

    Logical reasoning is a mental activity that aims to arrive at a conclusion in a rigorous way. It happens in the form of inferences or arguments by starting from a set of premises and reasoning to a conclusion supported by these premises. The premises and the conclusion are propositions, i.e. true or false claims about what is the case.

  7. Boolean satisfiability problem - Wikipedia

    en.wikipedia.org/wiki/Boolean_satisfiability_problem

    The Boolean satisfiability problem (SAT) is, given a formula, to check whether it is satisfiable. This decision problem is of central importance in many areas of computer science, including theoretical computer science, complexity theory, [3][4] algorithmics, cryptography [5][6] and artificial intelligence. [7][additional citation (s) needed]