University of Massachusetts Amherst
College of Information and Computer Sciences

 

 

COMPSCI 383

Artificial Intelligence

   Fall 2016

 

Shlomo Zilberstein

 

Tentative Schedule

Date Notes Topic Reading 3e Reading 2e Homework
9/7 Introduction 1.1-2.5 1.1-2.5
9/12 Problem solving as search 3.1-3.4 3.1-3.5
9/14 Heuristic search 3.5-3.6 4.1-4.2 HW#1 due 9/21
PA#1 due 10/5
9/19 Beyond classical search 4.1, 4.3 4.3 (*)
9/21 Constraint satisfaction 6.1-6.2 5.1-5.2
9/26 Constraint satisfaction cont. 6.3-6.5 5.3-5.5
9/28 Abstraction and multi-level search


10/3 Adversarial search and game playing 5.1-5.4 6.1-6.4 HW#2 due 10/11
10/5 Logical agents and propositional logic 7.1-7.4 7.1-7.4
10/11 Inference in propositional logic 7.5-7.7 7.5-7.7 PA#2 due 11/7
10/12 First-order logic 8.1-8.3 8.1-8.3
10/17 Inference in first-order logic 9.1-9.5 9.1-9.5 HW#3 due 10/24
10/19 Uncertainty 13.1-13.6 13.1-13.6
10/24 Bayesian networks 14.1-14.3 14.1-14.3
10/26 Exact inference in Bayesian networks 14.4 14.4
10/31 Review for midterm


11/2 Midterm exam


11/7 Approximate inference in BNs and RPMs 14.5-14.6 14.5-14.6 HW#4 due 11/14
11/9 Sequential decision making 17.1-17.4 17.1-17.4
11/14 Reinforcement learning 21.1-21.6 21.1-21.6 PA#3 due 12/5
11/16
No Class - Friday Class Schedule


11/21
No Class - Thanksgiving Break


11/23
No Class - Thanksgiving Break


11/28 Making rational decisions 16.1-16.4 16.1-16.4
11/30 Decision networks & value of information 16.5-16.7 16.5-16.7
12/5 Classical planning 10.1-10.2 11.1-11.2 HW#5 due 12/12
12/7 Planning continued 10.3-10.4 11.3-11.4 (*)
12/12 Resource-bounded reasoning techniques


12/14 Summary and review


12/19 Final exam - 3:30 - 5:30, ILC S211


(*) Significat differences between 2e and 3e


© 2016 Shlomo Zilberstein.