PPT-Discussion of Greedy Search, A*

and SMA Remark SMA will be covered by Group Homework Credit Group Cs presentation but not in Dr Eicks lecture in 2022 Bestfirst search Idea use an evaluation function fn for each node. These slides are modified from those by . Anand. . Rajaram. & Jeff . Ullman. History of web advertising. Banner ads (1995-2001). Initial form of web advertising. Popular websites charged X$ for every 1000 “impressions” of ad. 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. Carmine . Cerrone. , . Raffaele. . Cerulli. , Bruce Golden. GO IX. Sirmione. , Italy. July 2014. 1. Outline. Motivation. The Minimum Label Spanning Tree (MLST) problem. Experimental justification. Introduction to Carousel . 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 . cont. ) & CSP Intro. Tamara Berg. CS 560 Artificial Intelligence. Many slides throughout the course adapted from Dan Klein, Stuart Russell, Andrew Moore, Svetlana . Lazebnik. , Percy Liang, Luke . 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 . . 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 . . 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 . . 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 . 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. CSE 421 Greedy Algorithms / Interval Scheduling Yin Tat Lee 1 Interval Scheduling Job starts at and finishes at . Two jobs compatible if they don’t overlap. Goal: find maximum subset of mutually compatible jobs. Search Review Path Planning Search: Our Role We have to define the problem space State Representation Initial State Operators Goal State (a test to see if a node is the goal) (If possible) A heuristic 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.