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 9/28Robot Intelligence: computation, mechanics, intelligence
2nd10/ 5Turing machine: state, symbols, transition
3rd10/12Turing machine: diagonal argument, halt problem
4th10/19Search: graphs, shortest path, Dijkstra method
5th11/26Search: maximum flow problem, LP method
6th11/ 2Search: game tree, minimax method
7th11/ 9Probabilistic method: random numbers, pseudo random number
8th11/16Probabilistic method: Monte Carlo method
9th11/23Probabilistic method: robot motion planning, probabilistic roadmaps
10th11/30Neural network: neuron model, approximation theorem
11th12/ 7Neural network: back propagation
12th12/14Optimization: linear programming
13th12/21Optimization: linear inequalities, duality, nonlinar optimization
14th 1/ 9Object manipulation: motion constraints, form closure
15th 1/18Object manipulation: grasping, force closure

Handouts
1st    Robot Intelligence reduced copy
2nd,3rd    Turing machine reduced copy
4,5,6th    Graph and search reduced copy    sample programs
7,8,9th    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

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