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 9/27Robot Intelligence: computation, mechanics, intelligence
2nd10/ 4Turing machine: state, symbols, transition
3rd10/11Turing machine: diagonal argument, halt problem
9th10/18Cryptography: substitution cipher, public-key cryptography
4th10/25Graph and Search: graphs, shortest path, Dijkstra method
5th11/ 1Graph and Search: maximum flow problem, LP method
6th11/ 8Graph and Search: game tree, minimax method, two-person zero-sum game
7th11/15Probabilistic method: random numbers, Monte Carlo method
8th11/22Probabilistic method: robot motion planning, probabilistic roadmaps
10th11/29Neural network: neuron model, approximation theorem
11th12/ 6Neural network: back propagation
12th12/13Optimization: linear programming
13th12/20Optimization: linear inequalities, duality, nonlinar optimization
14th 1/ 8Object manipulation: motion constraints, form closure
15th 1/17Object manipulation: grasping, force closure
Handouts
1st    Robot Intelligence reduced copy
2nd,3rd    Turing machine reduced copy
4th    Cryptography reduced copy
5,6,7th    Graph and search reduced copy    sample programs
8,9th    Probabilistic method reduced copy    sample programs
10,11th    Neural network reduced copy    sample programs
12,13th    Optimization reduced copy    sample programs
14,15th    Object manipulation reduced copy    sample programs
Appendix    MATLAB reduced copy    sample programs


Sample Programs

Evaluation : Quizzes, reports
References
Science of Intelligence Handling Technology
(Robotics Textbook Series 6) (Robotics Textbook Series 14)
Suguru Arimoto Shinichi Hirai, Hidefumi Wakamatsu
Corona Publishing, ISBN 978-4-339-04517-8 Corona Publishing, ISBN 978-4-339-04525-3
[Education]