Self-organization of heterogeneous particle swarms is rich in its dynamics but hard to design in a traditional top-down manner, especially when many types of kinetically distinct particles are involved. In this talk, we discuss how we have been addressing this problem by (1) utilizing and enhancing interactive evolutionary design methods and (2) realizing spontaneous evolution of self organizing swarms within an artificial ecosystem.
Hiroki Sayama Hiroki Sayama is Director of the Center for Collective Dynamics of Complex Systems, and an Associate Professor of Systems Science and Industrial Engineering, at Binghamton University, State University of New York, USA.http://bingweb.binghamton.edu/~sayama/
Invited Talk e-session
Synthetic biology: toward a behavior-matching genomic compiler of desired cell functionsF. Delaplace
Tags: Collective behavior, heterogeneous systems, interactive evolutionary computation., Self-organization, swarms
Photos by : Anonymous