人工知能 (130012)

担当教員 新保 仁(Masashi Shimbo / しんぼ まさし)、 能地 宏(Hiroshi Nouji / のうじ ひろし)
単位数 :1単位 選択・必修 :選択 講義室 :L2 講義スタイル :講義/公開
開講時期 Ⅰ期 火曜2限

授業目的 This course is intended to introduce students to some of the fundamental concepts and techniques in artificial intelligence.
授業内容 The topics to be covered include the following:

Lecture 1. Course overview / State space search
Lecture 2. Basic search strategies and Dijkstra's algorithm
Lecture 3. Heuristic search: A*
Lecture 4. Real-time search
Lecture 5. Reinforcement learning
Lecture 6. Perceptron and neural networks
Lecture 7. Computational graph and back propagation
Lecture 8. Convolutional and recurrent neural networks

Note: the lectures will be given in English (注: 英語による授業)

教科書 None. Lecture slides and hand-outs will be uploaded to the course web page (Follow the link below).
講義スライド・ハンドアウトを講義 web ページ (下のリンク先) で配布します.
参考書 1. Stuart Russel and Peter Norvig. Artificial Intelligence: A Modern Approach, 3rd ed. Prentice Hall, 2010. ISBN: 0136042597
履修条件 Familiarity with graph-theoretic concepts (such as nodes/vertices and edges/arcs) is assumed. Some algorithms are presented in PASCAL-like pseudocode.
成績評価 Assignments and quizzes: 100%
オフィスアワー 12:30-13:20 on Tuesdays, or by appointment.
Visit Office A703 (Shimbo) or A705 (Noji).
講義関連URL
Course web page | 講義ホームページ
配布資料 現在、配布資料はありません。