PPT-Heuristic Search

Heuristic a rule of thumb used to help guide search often something learned experientially and recalled when needed Heuristic Function function applied to a state in a search space to indicate a likelihood of success if that state is selected. Heuristic - a “rule of thumb” used to help guide search. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. 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 . 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. Problems. CSD 15-780: Graduate Artificial Intelligence. Instructors: . Zico. . Kolter. and Zack Rubinstein. TA: Vittorio . Perera. 2. Example of a search tree. . 3. How to Improve Search?. Avoid repeated states.. CPSC 481: HCI I. Fall 2014. 1. Anthony Tang with acknowledgements to Saul Greenberg and Ehud . Sharlin. Learning Objectives. By the end of this class, you should be able to:. » understand and describe . 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. Armin Hornung, Daniel Maier, Maren Bennewitz. Presentation by Dominique Gordon. Introduction. Humanoid Robots vs. Wheeled Robots. Step over obstacles. Many degrees of freedom. Not yet feasible to plan whole body motions in real world. 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. Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . Introduction to Artificial Intelligence. Prof. . Richard Lathrop. Reading: R&N 3.5-3.7. Outline. Review limitations of uninformed search methods . Informed (or heuristic) search. Problem-specific heuristics to improve efficiency . Informed Search. Instructor: Jan-Willem van de Meent. [Adapted from slides by Dan Klein and Pieter Abbeel for CS188 Intro to AI at UC Berkeley (. ai.berkeley.edu. ).]. Announcements. Homework 1:. Search (lead TA: Iris). 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. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. heuristic search methods are known as “weak methods” because of their generality and because they do not apply a great deal of knowledge .