Module1_3
AI I: problem solving and search. Pag. 2 AI 1 Outline Problem-solving agents –A kind of goal-based agent Problem types –Single state (fully observable)
Search Search plays a key role in many parts of AI. These algorithms provide the conceptual backbone of almost every approach to the systematic exploration.
Uninformed Search Chapter 3 Some material adopted from notes and slides by Marie desJardins and Charles R. Dyer.
Uninformed Search Chapter 3 Some material adopted from notes and slides by Marie desJardins and Charles R. Dyer CS 63.
AI I: problem-solving and search. 2 Outline Problem-solving agents –A kind of goal-based agent Problem types –Single state (fully observable) –Search.
© C. Kemke1Reasoning - Introduction COMP 4200: Expert Systems Dr. Christel Kemke Department of Computer Science University of Manitoba.
Uninformed Search Chapter 3 Some material adopted from notes by Charles R. Dyer, University of Wisconsin-Madison CMSC 471 Adapted from slides by Marie.
CMSC 671 Fall 2005 Class #3/4 – Thursday, September 8 / Tuesday, September 13.
CMSC 471 Spring 2014 Class #3 Tue 2/4/14 Problem Solving as Search Professor Marie desJardins, [email protected].
Uninformed Search. Big Idea Allen Newell and Herb Simon developed the problem space principle as an AI approach in the late 60s/early 70s "The rational.
CMSC 671 Fall 2005
