Nov 24, 2017 | 15:00—16:30
A recent path to understand the dynamics of evolutionary systems is “combinatorial evolution”. The essence of this approach is that an evolving system can be formulated as a set of objects, which can be combined to pairs to form new objects that are in turn added to the set and can be again combined to form yet new objects and so forth.
In this talk, he will give a short overview about a simple combinatorial evolution model: How is knowledge in the form of novel ideas created through the recombination of preexisting ideas?
Special focus will be on how the performance of the system depends on its size and draw parallels how to the efficiency of groups in producing new knowledge might depend on the size of the group.