PPT-1 COMP 382: Reasoning about algorithms

Author : min-jolicoeur | Published Date : 2016-03-06

Unit 9 Undecidability Slides adapted from Amos Israelis Limits to computation There are problems for which there cannot be an algorithm provably Undecidable problems

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "1 COMP 382: Reasoning about algorithms" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

1 COMP 382: Reasoning about algorithms: Transcript


Unit 9 Undecidability Slides adapted from Amos Israelis Limits to computation There are problems for which there cannot be an algorithm provably Undecidable problems There are problems for which polynomialtime algorithms are unlikely to exist. By Lindsey Busker and Sydney Thomson. Lawrence Kohlberg . Born in Bronxville, New York on October 25, 1927. Attended high school at Phillips Academy and then served in the Merchant Marine at the end of World War II. 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 . It’s Logical. What is Logic?. Logic. – The science of correct reasoning.. Reasoning. . – The drawing of inferences or conclusions from known or assumed facts. .. There are two main types of reasoning:. Tekin. . Bicer. , . Jian. Yin, David Chiu, . Gagan. . Agrawal. . and Karen . Schuchardt. Ohio State University. Washington State University. Pacific Northwest National Laboratories. 1. †. †. 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. Development Part III. Kohlberg’s theory of moral development. Criticisms of Kohlberg’s theory. Recent contributions of social psychology and neuroscience to understanding moral judgment. Baby morality. A professional development program to help teachers better understand the mathematical reasoning needed for ratio, proportion, and proportional reasoning.. To understand the importance and significance of ratio, proportion, and proportional reasoning in the middle grades mathematics curriculum.. Instructor: Kecheng Yang. yangk@cs.unc.edu. We meet . at FB 009, 1:15 PM – 2:45 PM, . MoTuWeThFr. Course Homepage. : . http://cs.unc.edu/~. yangk/comp283/home.html. About Me. I am a fourth-year (fifth-year next fall) Ph.D. student.. 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.. What we learned last class…. We are not good at recognizing/dealing with randomness. Our “random” coin flip results weren’t streaky enough.. If B/G results behave like independent coin flips, we know how many families to EXPECT with 0,1,2,3,4 girls.. 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats EE 194/Comp 150: Modeling, simulating and optimizing biological systems Spring 2018 Tufts University Instructor: Joel Grodstein joel.grodstein@tufts.edu Lecture 2: Biology backgrounder Biology backgrounder PTACAQ2 5A66BC255/D5/1EFGFAC552//23-FD3--67H3//O0555//0B548328896/88K250578K0/-5/x00009KK2//3785450/-5/54832D73/85-52/D6322D-2D2364/B/A552/32-A--//8/8548323650/-5/C/F5E8/52254/36/0365Ex10056654B20555/

Download Document

Here is the link to download the presentation.
"1 COMP 382: Reasoning about algorithms"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents