PPT-common errors in reasoning that undermine the logic of an

illegitimate controversial arguments or irrelevant points designed to enflame an audience often identified because they lack adequate evidence to support a claim Fallacies are Why do they matter. Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca Permission granted for photocopy reproduction. Please do not alter or modify contents. All rights reserved. 800-338-4065 www.loveandlogic.com - Charles Sanders Peirce. Using Models of Reasoning. A Return to Logos. Reasoning from Specific Instances. Progressing from a number of particular facts to a general conclusion. .. This is also known as inductive reasoning.. Sources: D. Jensen. “Research Methods for Empirical Computer Science.”. . William M.K. . Trochim. . “Research Methods Knowledgebase”. More on Causality. What is causality?. What’s Important About Causality?. Deductive reasoning. , also . deductive logic. or . logical deduction. or, informally, . ". top-down. " logic. , is the process of . reasoning. from one or more . statements. (premises) to reach a logically certain conclusion. It differs from . There’s a bug in our code. There’s a bug in our code. [Probably] The first software bug. Harvard Mark II. Electromechanical machine. Moth found in relay. Found by . Grace Hopper. Type of Errors. 3 that we’ll mention today. Grigore. . Rosu. and Andrei Stefanescu. University of Illinois, USA. Matching Logic . Reachability. - Goal -. Language independent program verification framework. Derives program properties based on the operational semantics of a language. Humans use their common sense all the time. what is it?. can we instill it in our AI programs?. if not, what are the consequences for AI?. We might think of common sense reasoning as the knowledge accumulated through experience that gives us the ability to. Mimi . Opkins. CECS 100. Fall 2011. Problem Solving. Logic. – The science of correct reasoning.. Reasoning. – The drawing of inferences or conclusions from known or assumed facts.. When solving a problem, one must understand the question, gather all pertinent facts, analyze the problem i.e. compare with previous problems (note similarities and differences), perhaps use pictures or formulas to solve the problem.. We already know that the language of the machine is . binary. – that is, sequences of 1’s and 0’s. But why is this? . At the hardware level, computers are streams of signals. These signals only have two states of interest, high voltage and low voltage. . Logic Gates. NOT (Inverter) Gate. AND Gate. OR Gate. NAND Gate. NOR Gate. XOR Gate. Digital Signals. Digital signals 0 (false) or 1 (true). Digital signal 1 is represented by a small voltage.. Digital signal 0 is represented by no voltage.. Learn what a logic gate is and what they are for.. Be able to identify common logic gates.. Understand how truth tables work.. What is a logic gate?. Logic gates are part of the circuits inside your computer. They can take several INPUTS. . Provers. Originally Presented by. Peter Lucas. Department of Computer Science, Utrecht University. Presented . by. Sarbartha. . Sengupta. (10305903). Megha. Jain (10305028. ). Anjali . Singhal. (10305919). Best book to win online dice