Artificial intelligenceLectures for 2006Below you will find the notes and other material related to the different lectures.2006-09-05: Lecture 1, Introduction and agent modelsNotes for the lectures can be downloaded here 2006-09-06: Lecture 2, Search algorithmsA summary of lecture 1 can be downloaded here Notes for the lecture can be downloaded here The java applet to demonstrate search algorithms is from UBC . There are several predefined examples there. I addition the xml file that defines the Bucharest airport trip problem can be found here 2006-09-12: Lecture 3, CSP and GamesA summary of lecture 2 can be downloaded here Notes for the lecture can be downloaded here 2006-09-15: Lecture 4, LogicA summary of lecture 3 can be downloaded here Notes for the lecture can be downloaded here 2006-09-20: Lecture 5, Inference in FOL and Knowledge ReprA summary of lecture 4 can be downloaded here Notes for the lecture can be downloaded here 2006-09-21: Lecture 6, Probabilistic reasoningNotes for the lecture can be downloaded here 2006-09-27: Lecture 7, Probabilistic reasoning, cont.Notes for the lecture can be downloaded here 2006-09-29: Lecture 8, Probabilistic reasoning, cont.We continue with lecture 7.2006-10-04: Lecture 9, Making decisionsNotes for the lecture can be downloaded here 2006-10-04: Lecture 10, CommunicationNotes for the lecture can be downloaded here 2006-10-04: Lecture 11, Vision and RoboticsNotes for the lecture can be downloaded here for vision and robotics 2006-10-04: Lecture 12, Summary and project infoNotes for the lecture can be downloaded here for summary of the course and project info . |