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This course acquaints students with recent developments in the study of decision sciences, as well as decision supporting methods that employ Information and Communication Technology (ICT). Students will have deeper insights about practical decision making processes and will study how to use ICT to improve those processes.
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Mastery of advanced decision sciences.
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This course follows the policy of the Graduate School of Informatics in aiming to cultivate those students:
1) who have obtained advanced knowledge in information science and/or data science and have the ability to solve social problems through comprehending issues from a higher perspective. ○
2) who have the communication skill to explain professional issues in information science and/or data science in a logical and easy-to-understand way. △
3) who have a high standard of ethics and can contribute to achievement of goals in proactive and planned manners.△
4) who have a will to contribute to international trends in information science and/or data science fields. △
（◎：Especially important，〇：Important，△：Subject to evaluation，―：Not subject to evaluation）
Please note that the diploma policy is formally defined using Japanese terms. The above description is based on an unauthorized translation of it.
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As for recent developments, this course deals with preference-based decision making theories/methods about individual and collective decision making. It widely covers developments by mathematical, experimental and/or information processing approaches.
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This is a lecture style class, but you are welcome to bring your laptop to follow along. Many topics related to decision sciences are to be learned through discussions. Students are encouraged to read related books and reference materials before attending classes. It is also advisable to spend much time to prepare for oral discussions.
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01 Introduction
02 Conflict Resolution and Graph Model (1)
03 Conflict Resolution and Graph Model (2)
04 Rationality Analysis (1)
05 Rationality Analysis (2)
06 Rationality Analysis (3)
07 Efficiency Analysis (1)
08 Efficiency Analysis (2)
09 Efficiency Analysis (3)
10 Coalition Analysis (1)
11 Coalition Analysis (2)
12 Coalition Analysis (3)
13 Matchings (1)
14 Matchings (2)
15 Matchings (3)
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This is a normal 2-credit course, which basically means that in addition to the scheduled meeting times, students are expected to do at least 3 hours of course-related work outside of class each week during the session. This includes work done completing assigned readings, preparing written assignments, studying for tests, and other course-related tasks.
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During the term, small examinations and the final examination are held. There also will be hand-written reports. Assessment will be based on: small examinations and the final examination (total 60% [DP1, 2, 3, 4]), and hand-written reports (total 40% [DP1, 2, 3, 4]. (Full attendance is assumed in this calculation.)
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Nothing is required. Any student who wants to establish new and valuable logics are welcomed, and don't hesitate to make speech.
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Decision Making, Certainty/Uncertainty, Preference, Rationality, Utility
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4130430173
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「きめ方」の論理
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佐伯 胖 著,
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東京大学出版会
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1994
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978-4151200533
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一九八四年
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ジョージ・オーウェル 著,高橋和久 訳,
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早川書房
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2009
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The electronic materials for this course are distributed via Moodle.
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Lecture and Discussion: Japanese
Text and Materials: Japanese
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