Artificial Intelligence: Cognitive Robotics (2012 Fall)

  • 2012 Fall Semester Undergraduate Course for Computer Science and Engineering
  • Instructor: Prof. Byoung-Tak Zhang
  • TA: Eun-Sol Kim (eskim ‘at’ bi.snu.ac.kr)
  • Classroom: Rm. 209, Bldg. 302 /  Rm. 311-1, Bldg, 302 (Thu)
  • Time: Tue & Thu, 09:30-10:45
  • Text:

o    [1] The Quest for Artificial Intelligence, Nilsson, N. J., Cambridge University Press, 2009.

  • References:

o    [1] Cognitive computing I: Multisensory perceptual intelligence in real-world (in Korean), B.-T. Zhang, Mu-Song Yeu, Communications of KIISE, 30(1):75-87, 2012.

o    [2] Cognitive computing II: Machine vision-language learning in real-life (in Korean), B.-T. Zhang, Dong-Hoon Lee, Communications of KIISE, 30(1):88-100, 2012.

o    [3] Cognitive computing III: Deep dynamic prediction in real-time (in Korean), B.-T. Zhang, Hyun-Soo Kim, Communications of KIISE, 30(1):101-111, 2012.

o    [4] Next-generation machine learning technologies (in Korean), B.-T. Zhang, Communications of KIISE, 25(3):96-107, 2007.

  • Evaluation:

o    Two open-book exams (60%)

o    Project (30%)

o    Reading and quiz (5%)

o    Attendance and discussion (5%)

  • Goal:

o    To understand the history of ideas and achievements in artificial intelligence (AI)

o    To get theoretical basis for developing computational models of AI

o    To acquire the conceptual and technical tools for application of artificial intelligence

o    To understand the future prospects of human-level artificial intelligence

  • Dataset (updated)

o    MNIST_800 – 10 classes, 800 examples

o    MNIST_2000 – 10 classes, 2000 examples

o    CIFAR – only 2 classes

 


  • Lecture Schedule

 

Week

Topics

Slides

Papers

Questions

1

9/4

Thinking machines:
Leibniz, Frege, Turing, AI pioneers

ch.1, ch.2, ch.3

1_Turing

Questions_1

9/6

Heuristic programs:
logic, chess, checkers, 8-puzzle, GPS

ch.3, ch.5, ch.14

 

Questions_2

2

9/11

Neural networks and supervised learning algorithms

NN, Ref [4]

 

 

9/13

Practice

 

 

 

3

9/18

Mobile robots:
Shakey, FREDDY, tour guides, service robots

ch.10, ch.12, ch.32

 

Questions_3

9/20

   New generation projects:

FGCS, ESPRIT, SC

ch.8, ch.16, ch.21
ch.22
, ch.23

 

Questions_4

4

9/25

Bio-inspired AI:
brain-style computing, simulating evolution

ch.4, ch.24, ch.25, ch.35, Ref [3] 

 

Questions_5

9/27

Practice - Perceptron

 Perceptron

 

 

5

      No Class

 

 

10/4

Computer vision

ch.9, ch.20, ch.30

Questions_6

6

10/9

Natural language & speech:
Q&A, MT, NLP, HEARSAY-II

ch.7, ch.13,

ch.17 ch.19, ch.30

 

Questions_7

10/11

Practice - Weka & MLP

Weka

 

 

7

10/16

Review

 

 

10/18

Mid-term Exam

 

 

8

10/23

Mid-term Presentation

(Due: Mid-term Report)

 

 

10/25

Expert systems:
DENDRAL, MYCIN, PROSPECTOR, XCON

ch.15, ch.18

 

Questions_8

9

10/30

-          Knowledge representation & reasoning:
semantic net, frames

-          Symbolism and Connectionism

ch.6, ch.11
ch.26
,ch.27

 

Ref [3]

 

Questions_9

11/1

Practice – Weka & SVM

Weka_SVM

 

 

10

11/6

Machine learning:
MBL, CBR, DT, NN, kNN, RL

ch.29,

Ref [4]

 

Questions_10

11/8

Machine learning:
MBL, CBR, DT, NN, kNN, RL

ch.29,

Ref [4]

 

 

11

11/13

ML Practice

 

 

 

11/15

Cognitive Robot Practice

 

 

 

12

11/20

Probabilistic graphical models (1):
LVM, BN, DBN

ch.27, ch.28

 

Questions_11

11/22

Intelligent agents:
recommenders, assistants, IR, UI

ch.31,ch.33,ch.34

 

Questions_12

13

11/27

-          Cognitive robots:
EU FP 6&7, humanoids, personal robots

-          Human-leve AI:

Self-driving robot cars,     Watson, Siri


Ref [1]

Ref [2]

Ref [3]

 

 

11/29

Cognitive Robot Practice

 

 

 

14

12/6

Final Exam

 

 

15

12/13(Changed!!!!!)

Final Presentation (Poster)

 

 


This page is maintained by Eun-Sol Kim
Last update: 2012.
11.22.