Machine Intelligence

I will lecture principles of computational and mechanical intelligence, covering Turing machine, search, probabilistic methods, neural network, optimization, and object manipulation. (Dept. Robotics, B2)

1st 9/30Robot Intelligence: computation, mechanics, intelligence
2nd10/ 7Turing Machine: state, symbols, transition
3rd10/14Turing Machine: diagonal argument, halt problem
4th10/21Cryptography: substitution cipher, public-key cryptography
5th10/28Graph and Search: graphs, shortest path, Dijkstra method
6th11/ 4Graph and Search: maximum flow problem, LP method
7th11/11Graph and Search: game tree, minimax method, two-person zero-sum game
8th11/18Probabilistic Method: random numbers, Monte Carlo method
9th11/25Probabilistic Method: robot motion planning, probabilistic roadmaps
10th12/ 2Neural Network: neuron model, approximation theorem
11th12/ 9Neural Network: back propagation
12th12/16Optimization: linear programming
13th12/23Optimization: linear inequalities, duality, nonlinar optimization
14th 1/ 6Object Manipulation: motion constraints, form closure
15th 1/20Object Manipulation: grasping, force closure
Handouts
1st    Robot Intelligence reduced copy
2nd,3rd    Turing machine reduced copy
4th    Cryptography reduced copy
5,6th    Graph and search reduced copy    sample programs
7,8th    Probabilistic method reduced copy    sample programs
9,10th    Neural network reduced copy    sample programs
11,12th    Optimization reduced copy    sample programs
13,14th    Object manipulation reduced copy    sample programs
Appendix    MATLAB reduced copy    sample programs




Sample Programs

Evaluatio
Quizzes, reports
References
Science of Intelligence
Suguru Arimoto
Corona Publishing, 4-339-04517-8
Handling Technology
Shinichi Hirai, Hidefumi Wakamatsu
Corona Publishing, ISBN 978-4-339-04525-3
[Education]