Artificial Intelligence: Cognitive Robotics (2012 Spring)

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 projects (50%)

o    One open-book exam (30%)

o    Reading and quiz (10%)

o    Attendance and discussion (10%)

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

  • To install the Ubuntu and Virtualbox

o    To install Virtualbox

o    To install Ubuntu

 


  • Lecture Schedule

·          

Week

Topics

Slides

Week 1

3/6

Thinking machines:
Leibniz, Frege, Turing, AI pioneers

ch.1, ch.2, ch.3

3/8

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

ch.3, ch.5, ch.14

Week 2

3/13

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

ch.4, ch.24
ch.25
, ch.35

3/15

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

ch.10, ch.12, ch.32

Week 3

3/20

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

ch.7, ch.13, ch.17
ch.19
, ch.30

3/23

Neural networks and supervised learning algorithms

 

Week 4

3/27,29

Cognitive Robot Practice

 

Week 5

4/3,5

Cognitive Robot Practice

 

Week 6

4/10

Computer vision

ch.9, ch.20, ch.30

4/13

Cognitive Robot Practice

Project 0
PR2_Tutorial

Week 7

4/17

Expert systems:
DENDRAL, MYCIN, PROSPECTOR, XCON

ch.15,ch.18

4/19

Cognitive Robot Practice

  MLP mnist_800.arff

Week 8

4/24

New generation projects:
FGCS, ESPRIT, SC

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

4/26

Cognitive Robot Practice

MLP(Ref) 

Project 1

Week 9

5/1

Knowledge representation & reasoning:
semantic net, frames

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

5/3

Cognitive Robot Practice

 

Week 10

5/8

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

ch.29

5/10

Cognitive Robot Practice:
ROS with Kinect 1

 

Week 11

5/15

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

ch.29

5/17

Probabilistic graphical models:
LVM, BN, DBN

ch.27, ch.28 

Week 12

5/22

Cognitive Robot Practice:
ROS with Kinect 2

Kinect_Tutorial

5/24

Cognitive Robot Practice:
Make your data with ROS, Kinect

 Make_Data

Project 2

Week 13

5/29

Intelligent agents:
recommenders, assistants, IR, UI

ch.31,ch.33,ch.34

5/31

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

 

Week 14

6/5

Final Exam

 

6/7

Human-level AI:
Self-driving robot cars, Watson, Siri

 

Week 15

6/12

Project Poster Presentation

- Niklas Gunnarsson

- Zeyuan Liu

- Meelinae Kim

- Andrian Kim

- Tae-Wook Joo

- Dong-woo Shin

 Poster Template

Poster Example


This page is maintained by Sangwoo Lee, Eun-Sol Kim
Last update: 2012.0
6.12.