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o [1] The
Quest for Artificial Intelligence, Nilsson, N. J., Cambridge University
Press, 2009.
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.
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
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Week
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Topics
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Slides
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Week 1
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3/6
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Thinking machines:
Leibniz, Frege, Turing, AI pioneers
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ch.1, ch.2, ch.3
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3/8
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Heuristic programs:
logic, chess, checkers, 8-puzzle, GPS
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ch.3, ch.5, ch.14
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Week 2
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3/13
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Bio-inspired AI:
brain-style computing, simulating evolution
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ch.4, ch.24
ch.25, ch.35
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3/15
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Mobile robots:
Shakey, FREDDY, tour guides, service robots
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ch.10, ch.12, ch.32
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Week 3
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3/20
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Natural language &
speech:
Q&A, MT, NLP, HEARSAY-II
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ch.7, ch.13, ch.17
ch.19, ch.30
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3/23
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Neural networks and
supervised learning algorithms
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Week 4
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3/27,29
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Cognitive Robot Practice
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Week 5
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4/3,5
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Cognitive Robot Practice
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Week 6
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4/10
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Computer vision
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ch.9, ch.20, ch.30
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4/13
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Cognitive Robot Practice
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Project 0
PR2_Tutorial
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Week 7
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4/17
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Expert systems:
DENDRAL, MYCIN, PROSPECTOR, XCON
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ch.15,ch.18
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4/19
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Cognitive Robot Practice
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MLP mnist_800.arff
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Week 8
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4/24
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New generation projects:
FGCS, ESPRIT, SC
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ch.8, ch.16, ch.21
ch.22, ch.23
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4/26
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Cognitive Robot Practice
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MLP(Ref)
Project 1
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Week 9
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5/1
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Knowledge representation
& reasoning:
semantic net, frames
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ch.6, ch.11
ch.26,ch.27
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5/3
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Cognitive Robot Practice
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Week 10
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5/8
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Machine learning:
MBL, CBR, DT, NN, kNN, RL
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ch.29
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5/10
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Cognitive Robot Practice:
ROS with Kinect 1
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Week 11
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5/15
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Machine learning:
MBL, CBR, DT, NN, kNN, RL
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ch.29
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5/17
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Probabilistic graphical
models:
LVM, BN, DBN
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ch.27, ch.28
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Week 12
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5/22
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Cognitive Robot Practice:
ROS with Kinect 2
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Kinect_Tutorial
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5/24
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Cognitive Robot Practice:
Make your data with ROS, Kinect
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Make_Data
Project 2
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Week 13
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5/29
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Intelligent agents:
recommenders, assistants, IR, UI
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ch.31,ch.33,ch.34
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5/31
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Cognitive robots:
EU FP 6&7, humanoids, personal robots
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Week 14
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6/5
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Final Exam
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6/7
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Human-level AI:
Self-driving robot cars, Watson, Siri
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Week 15
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6/12
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Project Poster Presentation
- Niklas Gunnarsson
- Zeyuan Liu
- Meelinae Kim
- Andrian Kim
- Tae-Wook Joo
- Dong-woo Shin
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Poster Template
Poster Example
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