'Tautology' diaporamas de présentation

Argument Analysis

Argument Analysis. Truth-Table Test for Validity. Example. Consider the argument (P & ~Q) ? (Q ? P). Premise: (P & ~Q) Conclusion: (Q ? P) . Write Down ALL the Possibilities. Write Down Premises. Write Down Conclusion. Write Down Truth-Table for Premise.

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Problem Definition and Causal Loop Diagrams

1.08k views • 66 slides

Propositional Logic

Propositional Logic. Sec. 1.1-1.3 12-May. 1. Is the reasoning in your argument valid?. All MSU students are brilliant. You are an MSU student. Therefore, you are brilliant.

787 views • 48 slides

Propositional Equivalences

Propositional Equivalences. Agenda. Tautologies Logical Equivalences. Tautologies, contradictions, contingencies. DEF: A compound proposition is called a tautology if no matter what truth values its atomic propositions have, its own truth value is T .

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CS621: Artificial Intelligence

CS621: Artificial Intelligence. Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 11- Soundness and Completeness; proof of soundness; start of proof of completeness 12 th august, 2010. Soundness, Completeness & Consistency. Soundness. Semantic World ---------- Valuation,

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Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013 Lecture 22. Q1. Consider a problem that is NOT in NP. Can this be in P?. Q2: Tautology. Consider the problem of checking if a 3-CNF formula is a TAUTOLOGY:

467 views • 38 slides

CS357 Lecture: BDD basics

CS357 Lecture: BDD basics. David Dill. BDDs (Boolean/binary decision diagrams). BDDs are a very successful representation for Boolean functions. A BDD represents a Boolean function on variables x 1 , x 2 , ... x n .

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CS173 Discrete Mathematical Structures

CS173 Discrete Mathematical Structures. Cinda Heeren Siebel Center rm 2213 heeren@cs.uiuc.edu Ofc hr: Wednesday, 9:30a-11:30a. Announcements. How did hwk #1 go? Anyone want to share? Hwk #2 available. Due Sun, 1/29, 8a. Sections start this week! See course website for locations.

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CSE 311: Foundations of Computing

CSE 311: Foundations of Computing. Fall 2013 Lecture 2: Propositional logic. administrative. Course web: http://www.cs.washington.edu/311. Office hours: 10 hours available; check web. Homework #1: Posted. Turn in (stapled) at the

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MVI Function Review

MVI Function Review. Input X is p -valued variable. Each Input can have Value in Set {0, 1, 2, ..., p i- 1 } literal over X corresponds to subset of values of S ? {0, 1, ... , p- 1} denoted by X S or X { j } where j is the logic value Empty Literal: X { ?}

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Tautology

338 views • 24 slides

Tautology Decision

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Section 3.3

Section 3.3. Truth Table for the Conditional Statement. Truth Table for Conditional Statement. Understanding the Truth Table for the Conditional Statement. p: You get an A. q: I buy you a car p ? q: If you get an A, I will buy you a car

179 views • 9 slides