授業情報/Course information

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
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
Active learning 1-2
/上記項目に係るALの度合い
該当なし
Active learning 2-1
/対話的学修(グループ学習,協働,調査体験 等)
No applicable
Active learning 2-2
/上記項目に係るALの度合い
該当なし
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