I attended a doctoral symposium of the conference. It was very good to know about how to guide PhD students to conduct high-quality research and complete PhD program.
I attended all the keynote sessions of the conference. The presentation on Computational Disaster Management by Professor Pascal Van Hentenryck was very insightful and encouraging. The talk on “Agents might not be people” by Professor Nigel Gilbert was illuminating.
The talk on “Satisfiability to Linear Algebra” by Professor Fangzhen Lin was revealing.
I attended almost all sections of PRIMA 2013 and some presentations of AI 2013. They reflect the advancement of the field. The discussions with the people on-site were very interesting and helpful to my future research.
Also, it was great to talk to active researchers in the field and exchanged ideas of our research and explored the possibility of collaboration.This paper describes the design of a multiagent system that facilitates course-offering decision making for a program in an institution. We first model course offering determination for upcoming semester as a multi-winner election with exogenous constraints which is a problem for computational social choice in multiagent systems, which has rarely been considered. Then, the paper describes the architecture and models of the multiagent system for course offering determination with Gaia role model methodology, TROPOS strategic actor diagram, Agent Unified Modeling Language (AUML) sequence diagram for a multi-agent negotiation interaction protocol, and Pseudo-code algorithms for generating fractional votes and course election protocol. A novel course selection preference model for students has been proposed and described formally. The effectiveness of the approach and the implemented system has been showed with the initial experimental results
