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2020　Essence of Humanities and Social Sciences36:Philosophy

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Academic unit or major
Humanities and social science courses
Instructor(s)
Harashima Daisuke 
Class Format
Lecture    (ZOOM)
Media-enhanced courses
Day/Period(Room No.)
Wed5-6(Zoom)  
Group
-
Course number
LAH.S432
Credits
1
Academic year
2020
Offered quarter
3Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

What is living intelligence? Do we know? Do our science and technology access it? Philosophy means love of wisdom, in which this course is a modest lesson. We can see, for example, artificial intelligence research as an instance of our attempts to approach it, for it seeks for intelligence through constructing thinking machines. This course helps students to appreciate this philosophy.
There are two topics: 1) inference, which regards knowing as logical process, 2) ordering of reason, understanding and sensation, which has been the ground for our modern scientific and technological worldview.

Student learning outcomes

At the end of this course, students will be able to:
1) understand the philosophical question of living intelligence as love of wisdom
2) understand the artificial intelligence research as a means of philosophy
3) acquire a basic knowledge of the three modes of inference (deduction, induction, and abduction)
4) acquire a basic knowledge of the modern ordering of reason, understanding and sensation.

Keywords

Philosophy, Artificial Intelligence, Inference, Deduction, Induction, Abduction, Reason, Understanding, Sensation

Competencies that will be developed

✔ Specialist skills ✔ Intercultural skills ✔ Communication skills ✔ Critical thinking skills Practical and/or problem-solving skills

Class flow

Conducted generally in lecture style.
Towards the end of class, students are given exercise problems related to what is taught on that day to solve (short papers).

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction Appreciate the question of living intelligence.
Class 2 Inference (1) : Deduction Understand the three modes of inference and its application to science and technology.
Class 3 Inference (2) : Induction Understand the three modes of inference and its application to science and technology.
Class 4 Inference (3) : Abduction Understand the three modes of inference and its application to science and technology.
Class 5 Intelligence (1) : Reason Understand the modern ordering of reason, understanding and sensation, and its relationship with science and technology.
Class 6 Intelligence (2) : Understanding Understand the modern ordering of reason, understanding and sensation, and its relationship with science and technology.
Class 7 Intelligence (3) : Sensation Understand the modern ordering of reason, understanding and sensation, and its relationship with science and technology.

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None required.

Reference books, course materials, etc.

Toru Nishigaki. Big Data and Artificial Intelligence. Chuokoron-Shinsha. (Japanese)
Yukio-Pegio Gunji. Tennen Chino. Kodansha. (Japanese)
Yuji Yonemori. Abduction. Keiso Shobo. (Japanese)
Kunihisa Morita. Kagakutetsugaku Kogi. Chikumashobo. (Japanese)
Megumi Sakabe. European Seishinshi. Iwanami Shoten. (Japanese)
Course materials are provided during class.

Assessment criteria and methods

Based on writing assignments: short papers (60%) + term paper (40%)

Related courses

  • LAH.H101 ： Philosophy A
  • LAH.H201 ： Philosophy B
  • LAH.H301 ： Philosophy C

Prerequisites (i.e., required knowledge, skills, courses, etc.)

No prerequisites.

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