| 開講学期／Course Start | 2017年度／Academic Year 後期／Second |
|---|---|
| 開講曜限／Class period | 火/Tue 5 , 火/Tue 6 , 火/Tue 7 , 火/Tue 8 |
| 授業区分／Regular or Intensive | 週間授業 |
| 対象学科／Department | |
| 対象学年／Year | 1年 , 2年 |
| 授業科目区分／Category | 博士前期課程 大学院自専攻科目 |
| 必修・選択／Mandatory or Elective | 選択 |
| 授業方法／Lecture or Seminar | |
| 授業科目名／Course Title | 知能システム学特論Ａ |
| 単位数／Number of Credits | 2 |
| 担当教員名／Lecturer | 倉重健太郎 (情報電子工学系学科コンピュータ知能学コース) |
| 時間割コード／Registration Code | MQ318 |
| 連絡先／Contact | |
| オフィスアワー／Office hours |
| 更新日／Date of renewal | 2017/08/24 |
|---|---|
| 授業のねらい ／Learning Objectives |
This course introduces the fundamental knowledge of living thing intelligence and provides concrete method to try to realize machine intelligence. By the comparision between old AI and new AI which takes interaction with environment seriously, the course introduces Embodiment Cognitive Science which is the new paradigm of machine intelligence. |
| 到達度目標 ／Outcomes Measured By: |
-To understand typical approaches to machine intelligence systematically. -To understand a outline of concrete methods and a way to treat the methods. |
| 授業計画 ／Course Schedule |
Total hours 22.5hrs Week 1: The Study of Intelligence Week 2: Foundations of Classical Artificial Intelligence and Cognitive Science Week 3: The Fundamental Problems of Classical Artificial Intelligence and Cognitive Science Week 4: Embodied Cognitive Science Basic Concepts Week 5: Neural Networks for Adaptive Behavior Week 6: Braitenberg Vehicles Week 7: The Subsumption Architecture Week 8: Artificial Evolution and Artificial Life Week 9: Other Approaches Week 10: Design Principles of Autonomous Agents Week 11: The Principle of Parallel Loosely Coupled Processes Week 12: The Principle of SensoryMotor Coordination Week 13: The Principles of Cheap Design Redundancy and Ecological Balance Week 14: The Value Principle Week 15: A Case Study |
| 成績評価方法 ／Grading Guidelines |
The score of each student is evaluated by the result of report. A score of 60% or better is required to pass the course. |
| 学習・教育目標との対応 ／Learning and Educational Policy |
This course is relate to all the educational policies of Computer Systemics Course and Intelligent Informatics Cource in Division of Information and Electronic Engineering. |
| 備考 ／Notes |
The official language of this course is Japanese. |
| No. | 回（日時） ／Time (date and time) |
主題と位置付け（担当） ／Subjects and instructor's position |
学習方法と内容 ／Methods and contents |
備考 ／Notes |
|---|---|---|---|---|
| 該当するデータはありません | ||||
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Active learning 1-1 ／主体的学修（予復習，反転授業，小テスト，振り返り 等） |
No applicable |
|---|---|
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Active learning 1-2 ／上記項目に係るALの度合い |
該当なし |
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Active learning 2-1 ／対話的学修（グループ学習，協働，調査体験 等） |
No applicable |
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Active learning 2-2 ／上記項目に係るALの度合い |
該当なし |
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Active learning 3-1 ／深い学修（複数科目の知識の総合化や問題解決型学修 等） |
No applicable |
|
Active learning 3-2 ／上記項目に係るALの度合い |
該当なし |