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

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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. P(. A . &. B. ) . = . P(. A. |. B. ) * P(. B. ). Product Rule:. Bayesian Reasoning. P(. A . &. B. ) . = . P(. A. |. B. ) * P(. B. ). Product Rule:. Shorthand for . . P(A=true & B=true) = P(A=true | B=true) * P(B=true). - 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.. Rebecca Wulf. Ivy Tech Lafayette. rwulf@ivytech.edu. . Ben Markham. Ivy Tech Bloomington. bmarkham@ivytech.edu. . Sharon Koch. Ivy Tech Gary. s. koch12@ivytech.edu. . Ivy Tech Community College. 30 . Using . MapReduce. Jacopo . Urbani. , Spyros . Kotoulas. ,. Eyal. Oren, and Frank van . Harmelen. Department of Computer Science,. Vrije. . Universiteit. Amsterdam,. The Netherlands . . . Tekin. . Bicer. , . Jian. Yin, David Chiu, . Gagan. . Agrawal. . and Karen . Schuchardt. Ohio State University. Washington State University. Pacific Northwest National Laboratories. 1. †. †. 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.. Pavle. . Valerjev. Department of psychology. University of . Zadar. Thinking. Psychology of thinking. Reasoning. Problem solving. Judgment and decision making. Undirected thinking (Gilhooly, 1996). Cognitive approach: Thinking as . Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. Jan Pettersen Nytun, UIA. 1. JPN, UiA. 2. What is a rule?. Consist of premise . and a . conclusion.. Meaning: In . any situation where the premise applies the conclusion must also hold.. JPN, UiA. 3. - Charles Sanders Peirce. On the Radar. Researching the Persuasive Speech Assignment. Due Wednesday on . WebCT. (by 11:59 p.m.). Exam Two. This Friday in Lecture. Study Guide on Course Website. Workshops for the Persuasive Speech. 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 Programming tools. cse331-staff@cs.washington.edu. . s. lides borrowed and adapted from Alex . Mariakis. . and CSE 390a . Outline. Reasoning about code. Developer tools. Eclipse and Java versions. ssh. QoS. -Based Service Matchmaking. Kyriakos . Kritikos. . and. Dimitris . Plexousakis. ICS-FORTH. 1. Presentation Outline. Problematic. Contribution. Background. System Architecture & Algorithm Presentation.

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