Objective of the lecture

  The objective of this course is to introduce basic concepts and computational methodologies in socio-economic sciences which are developing in the current frontiers of research on computational intelligence and systems science in conjunction with their application examples. Topics are chosen from agent-based modeling, game theory, computational intelligence, artificial markets and etc. The contents of this lecture II are different from those of I.

Plan of the lecture

The lecture starts from April 15th, 2013.

Group 1
Session 1 (15/Apr./2013): "Introduction to Socio-Economic Science II: Social Computing with Agent-Based Approach" by Prof. Takao TERANO
Session 2 (22/Apr./2013): "Situated Intelligence Training II" by Prof. Atsushi YOSHIKAWA, Prof. Takao TERANO
Session 3 (09/May/2013): "Multi-Agent Learning" by Prof. Itsuki NODA
Session 4 (13/May/2013): (day for report writing)
Group 2
Session 5 (20/May/2013): "Title to be announced" by Prof. Hiroshi DEGUCHI
Session 6 (27/May/2013): "Agent Based Simulation and Gaming: Tabletop Exercise" by Prof. Manabu ICHIKAWA
Session 7 (03/Jun./2013): "Application of Simulation Models for Public Health Problems" by Prof. Yasuhiro KANATANI
Session 8 (10/Jun./2013): "Software Architecture of Enterprise Systems" by Prof. Gaku YAMAMOTO
Session 9 (17/Jun./2013): (day for report writing)
Group 3
Session 10 (24/Jun./2013): "An Introduction to Evolutionary Computation" by Prof. Isao ONO
Session 11 (01/Jul./2013): "Statistical Physics Approaches to Socio-economic Sciences II" by Prof. Misako TAKAYASU
Session 12 (08/Jul./2013): "Computational Intelligence and its Application to Control" by Prof. Kaoru HIROTA
Session 13 (15/Jul./2013): "Frontier of Big-Data Analytics: Quest for Equation of Society" by Prof. Kazuo YANO
Session 14 (22/Jul./2013): (day for report writing)
Session 15 (29/Jul./2013): (occasional date)

For credit

  After every four (or three) lectures, writing a short report is required in the lecture time. Submission of the reports is necessary for earning credit.