PPT-Heuristic search, A* CS171, Fall 2017

Introduction to Artificial Intelligence Prof Richard Lathrop Reading RampN 3537 Outline Review limitations of uninformed search methods Informed or heuristic search Problemspecific heuristics to improve efficiency . Idea: give the algorithm “hints” about the desirability of different states . Use an . evaluation function. . to rank nodes and select the most promising one for expansion. Greedy best-first search. Initialize. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . with graph search. Graphs. G = (V, E). V is a set of vertices, {v. 1. , …, . v. N. }. E is a set of edges between vertices, {e. 1. , …, . e. M. }. Each edge . e. i. is an ordered pair of vertices in V:. Sources. :. My own. Joseph . Siefers. presentation 2008. Case Study—The 8-Puzzle. Case Study: The 8-Puzzle. http://www.permadi.com/java/puzzle8/. Case Study: The 8-Puzzle. Rules of the game:. Move free space {left, up, down, right} within boundaries of puzzle.. John W. Chinneck, M. . Shafique. Systems and Computer Engineering. Carleton University, Ottawa, Canada. Introduction. Goal: . Find a . good quality. integer-feasible MINLP solution . quickly. .. Trade off accuracy for speed. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . unknown environment. Athanasios Ch. Kapoutsis. , Christina M. . Malliou. , Savvas A. Chatzichristofis and Elias B. . Kosmatopoulos. School of Electrical and Computer Engineering,. Democritus University of Thrace, Xanthi, Greece. NPT Test Gauges TOO SIMILIAR to Riser Margin For Crew To Ignore. Pressure of Reservoir Pushing “UP” is . ~1,400 psi. Pressure of Riser Mud Pushing “DOWN” is . ~1,400 psi. Water Depth. Winter 2018. Introduction to Artificial Intelligence. Prof. Richard Lathrop. Reading: R&N 3.1-3.4. Uninformed search strategies. Uninformed (blind):. You have no clue whether one non-goal state is better than any other. Your search is blind. You don’t know if your current exploration is likely to be fruitful.. Continued. Before we continue. Breadth-First. Depth-First. Uniform Cost. Iterative-Deepening. Before we continue. Breadth-First. S,A,B,D,C,G. Depth-First. S,A,C,D,B,G. Uniform Cost. S,A,B,D,C,G. Iterative-Deepening. 1 Informed (Heuristic) Search Idea: be smart about what paths to try. 2 Blind Search vs. Informed Search What’s the difference? How do we formally specify this? A node is selected for expansion based on an evaluation function that estimates cost to goal. Continued. Before We Start. HW1 extended to Monday. Submit online (now working) and bring paper print out. Questions?. Competency Demo next Wednesday. Study Guide Posted. We will have some discussion time on Monday. 10. . Tutorial. 1. Today’s Activity: Heuristic Evaluation. General steps:. Perform an independent assessment of which heuristics a system violates. With a small group of 4, discuss and aggregate your individual results, listed by heuristic. Here are some of the most strange moments ever caught on camera!

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football, basketball, soccer, tennis, and more!
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In this video we commentate/report about some strange moments that happened with a main focus in sports, we also add edits in the clips to make it more entertaining!
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Thanks Elliot for helping with the voice over https://shrinklink.in/HoUPYHka https://uii.io/xqqhLc