PPT-1 Search Problems

CSD 15780 Graduate Artificial Intelligence Instructors Zico Kolter and Zack Rubinstein TA Vittorio Perera 2 Search Search lectures Readings Section II in Norvig and Russel. This lecture topic. Read Chapter 4.1-4.2. Next lecture topic. Read Chapter 5. (Please read lecture topic material before and after each lecture on that . topic. ). You will be expected to know. Local Search Algorithms. Uninformed search . algorithms. Discussion Class CS 171. Friday, October, 2nd. (Please read lecture topic material before and after each lecture on that topic). Thanks to professor . Kask. Some of the slides (page 2-7) were copied from his lectures.. Job Search Reinvented. NAWDP 2015. Chris Czarnik. CEO. Career [RE]Search Group. Chris Czarnik. Background. CEO of Career [RE]Search . Group. 12 years of job search training experience. Helped thousands of job seekers through seminars, classroom instruction and individual advising. into Computational Complexity. Bart Selman . Cornell University. Joint with Scott Kirkpatrick (IBM Research). Computational Challenges. Many core computational tasks have been shown to be . computationally intractable. S . A . Employment History. Mitie. . Ministry of Justice. , IFM Coordinator London/. Feb to Mar. Newlook. , Sales advisor, London/. Sep to Nov 2015. Arch . Joinery . Ltd ,Project Coordinator. London/. Borislav. . Nikoli. ć. , . Hazem. Ismail Abdel Aziz Ali, . Kostiantyn. . Berezovskyi. , Ricardo . Garibay. Martinez, Muhammad Ali . Awan. The Outline. Introduction. Heuristics. Local search. Metaheuristics. Should have had all this in CS 252 – Quick review. Many problems have an exponential number of possibilities and we can try each option against some objective to get an answer. Note that this "testing" is fast (always polynomial!). Introduction and Backtracking Search. This lecture topic (two lectures). Chapter 6.1 – 6.4, except 6.3.3. Next lecture topic (two lectures). Chapter 7.1 – 7.5. (Please read lecture topic material before and after each lecture on that topic). Wayfinding. Strategy. Thomas J. Pingel. Northern Illinois University. Victor R. . Schinazi. ETH Zürich. Annual Meeting of the Association of American Geographers, Tampa, FL, April 11, 2014.. Session: Cognition. Introduction to Text Generation 杨润琦 Overview Text generation basics Definition and basic architectures Evaluation metrics Major problems and progress Better network architecture From greedy search to beam search The Cognition of Scale in Human Search Problems and Wayfinding Strategy Thomas J. Pingel Northern Illinois University Victor R. Schinazi ETH Zürich Annual Meeting of the Association of American Geographers, Tampa, FL, April 11, 2014. Uninformed search . algorithms. Discussion Class CS 171. Friday, October, 2nd. (Please read lecture topic material before and after each lecture on that topic). Thanks to professor . Kask. Some of the slides (page 2-7) were copied from his lectures.. Instructor: Sushil Louis, . sushil@cse.unr.edu. , . http://www.cse.unr.edu/~sushil. Syllabus. http://www.cse.unr.edu/~sushil/. Objectives:. Study evolutionary computing fundamentals: Genetic Algorithms, Evolution Strategies, Genetic Programming. Definition, Search Strategies. Introduction . to Artificial Intelligence. Prof. Richard Lathrop. Read Beforehand:. R&N 6.1-6.4, except 6.3.3. Constraint Satisfaction Problems. What is a CSP?. Finite set of variables, X.