000 03353nam a2200373 i 4500
001 OTLid0000491
003 MnU
005 20241120064015.0
006 m o d s
007 cr
008 180907s2017 mnu o 0 0 eng d
020 _a9780996150224
040 _aMnU
_beng
_cMnU
050 4 _aB72
100 1 _aKnachel, Matthew
_eauthor
245 0 0 _aFundamental Methods of Logic
_cMatthew Knachel
264 2 _aMinneapolis, MN
_bOpen Textbook Library
264 1 _a[Place of publication not identified]
_bA.T. Still University
_c[2017]
264 4 _c©2017.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aOpen textbook library.
505 0 _aChapter 1 - The Basics of Logical Analysis -- I. What is Logic? -- II. Basic Notions: Propositions and Arguments -- III. Recognizing and Explicating Arguments -- IV. Deductive and Inductive Arguments -- V. Diagramming Arguments -- Chapter 2 - Informal Logical Fallacies -- I. Logical Fallacies: Formal and Informal -- II. Fallacies of Distraction -- III. Fallacies of Weak Induction -- IV. Fallacies of Illicit Presumption -- V. Fallacies of Linguistic Emphasis -- Chapter 3 – Deductive Logic I: Aristotelian Logic -- I. Deductive Logics -- II. Classes and Categorical Propositions -- III. The Square of Opposition -- IV. Operations on Categorical Sentences -- V. Problems with the Square of Opposition -- VI. Categorical Syllogisms -- Chapter 4 – Deductive Logic II: Sentential Logic -- I. Why Another Deductive Logic? -- II. Syntax of SL -- III. Semantics of SL -- IV. Translating from English into SL -- V. Testing for Validity in SL -- Chapter 5 – Inductive Logic I: Analogical and Causal Arguments -- I. Inductive Logics -- II. Arguments from Analogy -- III. Causal Reasoning -- Chapter 6 – Inductive Logic II: Probability and Statistics -- I. The Probability Calculus -- II. Probability and Decision-Making: Value and Utility -- III. Probability and Belief: Bayesian Reasoning -- IV. Basic Statistical Concepts and Techniques -- V. How to Lie with Statistics
520 0 _aFundamental Methods of Logic is suitable for a one-semester introduction to logic/critical reasoning course. It covers a variety of topics at an introductory level. Chapter One introduces basic notions, such as arguments and explanations, validity and soundness, deductive and inductive reasoning; it also covers basic analytical techniques, such as distinguishing premises from conclusions and diagramming arguments. Chapter Two discusses informal logical fallacies. Chapters Three and Four concern deductive logic, introducing the basics of Aristotelian and Sentential Logic, respectively. Chapter Five deals with analogical and causal reasoning, including a discussion of Mill's Methods. Chapter Six covers basic probability calculations, Bayesian inference, fundamental statistical concepts and techniques, and common statistical fallacies.
542 1 _fAttribution
546 _aIn English.
588 0 _aDescription based on print resource
650 0 _aHumanities
_vTextbooks
650 0 _aPhilosophy
_vTextbooks
710 2 _aOpen Textbook Library
_edistributor
856 4 0 _uhttps://open.umn.edu/opentextbooks/textbooks/491
_zAccess online version
999 _c38734
_d38734