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Principles and Practice of Engineering Examination; Acronym: PE: Type: Pencil-and-paper exam; Computer-based exam (Select exams only) Administrator: National Council of Examiners for Engineering and Surveying: Skills tested: Analytical reasoning, quantitative reasoning, discipline-specific subjects: Purpose: Professional licensure: Year started ...
Deductive reasoning – Form of reasoning – from meaning postulate, axiom, or contingent assertion: if p then q (i.e., q or not-p) Inductive reasoning – Method of logical reasoning – theory formation; from data, coherence, simplicity, and confirmation: (inducibly) "if p then q"; hence, if p then (deducibly-but-revisably) q
Reason is the capacity for consciously making sense of things, applying logic, for establishing and verifying facts, and changing or justifying practices, institutions, and beliefs based on new or existing information.
Logical reasoning is a form of thinking that is concerned with arriving at a conclusion in a rigorous way. [1] This happens in the form of inferences by transforming the information present in a set of premises to reach a conclusion.
The Morrisby Profile [1] [2] is a matched series of timed cognitive aptitude tests. The current version is screen-based and was first published in 2014. In this version, five different aptitudes are assessed: verbal, numerical, abstract, spatial and mechanical.
Attacking Faulty Reasoning: A Practical Guide to Fallacy-free Arguments [1] is a textbook on logical fallacies by T. Edward Damer that has been used for many years in a number of college courses on logic, critical thinking, argumentation, and philosophy. It explains 60 of the most commonly committed fallacies.
The two main problem-solving strategies are backward reasoning (goal reduction) and forward reasoning, also known as top-down and bottom-up reasoning, respectively. In the simple case of a propositional Horn clause program and a top-level atomic goal, backward reasoning determines an and-or tree , which constitutes the search space for solving ...
Whereas knowledge representation and reasoning (KRR, KR&R, or KR²) also aims to understand, reason and interpret knowledge. KRR is widely used in the field of artificial intelligence (AI) with the goal to represent information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical ...