COMP 3200 / 6980 - Intro to Artificial Intelligence - Lecture 11 - Voting Algorithms скачать в хорошем качестве

COMP 3200 / 6980 - Intro to Artificial Intelligence - Lecture 11 - Voting Algorithms

00:00 - Intro 01:44 - Voting 05:41 - Inputs and Outputs 10:09 - Considerations and Goals 13:36 - Algorithm Classification 17:05 - First Past the Post (FPTP) 22:27 - The Spoiler Effect 26:57 - Real World Examples 34:00 - Two Party Convergence 35:52 - Strategic Voting 36:49 - Runoff Elections 39:48 - Ranked Choice Voting / Instant Runoff 45:51 - Positional Voting / Borda Method 48:34 - Arbitrary Scoring Methods 49:29 - Condorcet Method 53:39 - Arrow's Criteria / Impossibility Theorem 57:18 - Approval Voting 59:45 - Other Voting Systems 01:00:49 - Gerrymandering 01:06:29 - Single Transferrable Vote 01:07:21 -    • The Voting System That Fixes Everything   01:07:23 - Exam Questions and Outro Memorial University - Computer Science 3200 / 6980 - Winter 2026 Intro to Artificial Intelligence Professor: David Churchill - http://www.cs.mun.ca/~dchurchill/ This course is an introduction to Artificial Intelligence (AI), covering algorithmic techniques and data structures used in modern problem-solving environments. Each topic will have a related assignment where the learned techniques are applied to simple games. This is the graduate version of COMP 3200. Course Assignments / Files will not be released publicly