Keynote Speakers

Dr. Barkley Rosser (James Madison University, USA)

Speech Title: Transdisciplinary Perspective on Economic Complexity

Dr. Paul Wang (Duke University, USA) 

       Speech Title: Mathematics of Uncertainty and Social Sciences research




It took four and half decades for Fuzzy Sets & Logic to be a part of mainstream
of some academic disciplines and its evolution process has been truly colorful, sometime unpredictable, sometime quite fascinating. One puzzling question to be asked has been, "why there was so much opposition to the growth and the development of this seemingly really needed theory, especially by invoking the philosophy of pragmatism?" This question, actually, can easily be answered by studying the history of mathematics and the history of philosophy.

It took the theory of probability & statistics no less than four and half centuries to become a mainstream in education & economics {job creations}. The lesson we learn from this study, however, is very significant indeed. By invoking the  Principia mathematica of Bertrand Russell and the works of several other great mathematicians and philosophers, it is perhaps prudent to say that the development of mathematics of uncertainty ,of which probability theory and possibility theory are only two important proven examples!

In responding to the need of encouraging the further development of the mathematics of uncertainty, a group of more than one hundred researchers got together to establish an association named "Society of Mathematics of Uncertainty" with a mission statement and hence lay ed out a strategic plan for making some contribution for our greater global society:

Dr. Akira Namatame (National Defense Academy, Japan)

Speech Title: Agent-based Modeling for the Study of Diffusion Dynamics


Diffusion is the process in which the successful introduction of new products and practices into society along with invention. Many studies of the diffusion of innovation exist, and exhibit some commonalities such as the famous S-shaped diffusion curve. However, new ideas, products, and innovation often take time to diffuse, and this fact is often attributed to some form of heterogeneity among people. Then a basic puzzle posed is why there is often a long lag between an innovationˇ¦s first appearance and the time when a substantial number of people have adopted it. There exits some open questions on this phenomenon and the mechanisms that might give rise to it. The diffusion process enhances an innovation via the feedback of information about its utility across different users that can be used to improve it. This aspect is similar to the micro-macro loop which is essential part of emergent dynamics. 

In this talk I discuss how micro-macro loop formed via social network impacts on the qualitative aspects of diffusion dynamics. The diffusion process enhances an innovation via the feedback of information about its utility across different users that can be used to improve it. This aspect of the diffusion process is characterized as the micro-macro loop. Understanding the nature of the relationship between different levels at which macroscopic phenomena can be observed has been made possible due to the tools and insights generated in the agent research. The direction of the research to come is to understand how the agent based modeling is essential for the study of the diffusion dynamics.  

Keywords: contagion, diffusion of innovations, tipping point, social netwoks, consensus, synchronization