EECS 3401 — AI and Logic Prog. — Lecture 15 Adapted from slides of Yves Lesperance Vitaliy Batusov vbatusov@cse.yorku.ca York University November 11, 2020 Vitaliy Batusov vbatusov@cse.yorku.ca (YorkU) EECS 3401 Lecture 15 November 11, 2020 1 / 26 Today: Classical Planning Required reading: Russell & Norvig Chapter 11 (Ch. 10 in 3-rd ed.) Vitaliy Batusov […]
EECS 3401 — AI and Logic Prog. — Lecture 1 Adapted from slides of Prof. Yves Lesperance York University September 14, 2020 (YorkU) EECS 3401 Lecture 1 September 14, 2020 1 / 26 EECS 3401 EECS 3401: “Introduction to Artificial Intelligence and Logic Programming” Instructor: Vitaliy Batusov (contact: vbatusov@cse.yorku.ca) Course textbook: Russell & Norvig, Artificial
Assignment 2 EECS 3401 A November 6, 2020 This assignment is due on November 22 at 23:59. Late submissions will not be accepted. Introduction In this assignment, you are going to implement a solver to the N-Puzzle (a generalized version of the 8- and 15-Puzzle discussed in class) using three different search algorithms: A* ,
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EECS3311 Software Design Fall 2020 Project Designing and Implementing the Space Defender 2 Game Chen-Wei Wang and Kevin Banh Released Date: Monday, November 2 Phase 1 Due Date (Sections A & E): 11:59pm (EST), Wednesday, November 25 Phase 2 Due Date (Sections A & E): 11:59pm (EST), Wednesday, December 9 Policies – Your (submitted or
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Carnegie Mellon Bryant and O’Hallaron, Computer Systems: A Programmer’s Perspective, Third Edition 1 14 – 513 18 – 613 Carnegie Mellon Please take 10-15 minutes now to provide feedback on the course Anonymous survey is at: https://www.cs.cmu.edu/~213/external/survey Bryant and O’Hallaron, Computer Systems: A Programmer’s Perspective, Third Edition 2 Carnegie Mellon Dynamic Memory Allocation: Advanced Concepts
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Carnegie Mellon 15-213/513/613: Final Exam Review Kashish & Ishita Carnegie Mellon Final Exam Logistics ¡ö Cheat sheets – 2 double sided 8.5 x 11 in. ¡ö Join Zoom, turn on video AND microphone. ¡ö Show ID and cheatsheet to TA on video. ¡ö You will receive an email with the link to the zoom call,
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CSC373 Weeks 9 & 10: Approximation Algorithms & Local Search 373F20 – Nisarg Shah 1 NP-Completeness • NP-complete problems ➢ Unlikely to have polynomial time algorithms to solve them ➢ What do we do? • One idea: approximation ➢ Instead of solving them exactly, solve them approximately ➢ Sometimes, we might want to use an
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General Guidance The following guidance apply to all questions. Specific guidance to each question are given within the question. • In all questions, marks are awarded for the quality of your discussion and justification of your assumptions, choices, and conclusions. • In some questions, you are expected to research your answers and to cite appropriate
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Question 1: 2-SAT (25 points) Recall that a 2-SAT Instance consists of n variables x1, . . . , xn and m clauses C1, . . . , Cm where each clause Ci = `i1 _ `i2 is the disjunction of two literals. In this problem you will develop a linear time algorithm to solve
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CSE1729 – Introduction to Programming November 17, 2020 Problem Set 9 1. Define a SCHEME function named make-clock which takes two parameters which rep- resent the current time in hours and minutes. Your clock object should store the current time in minutes only. Your clock object should expose three functions for working with the clock