Description
This talk will present a computer simulation, done with Matlab, of the challenge propagation model. This model was presented last week by Francis Heylighen in this series. The basic idea is that you have a network of agents which propagate challenges to each other and try to relax them.In the first part of the talk I will talk more about how I've implemented this. There are different possible variations of the model, for this I have implemented styles. There can be different styles of processing or sending challenges, of updating the network,... Further on there are a lot of parameters which play a role. For example the learning rate of the links, the percentage of challenges that get send,...
In the second part I will discuss some results of the simulation. There is a lot to explore because of the big amount of input and output. My main criteria was to look how much the distributed intelligence increased. I first varied only one parameter to see whether this confirmed our hypotheses. Afterward I explored the parameter space some more. I also checked the topology of the evolved network, and tried to find out which kind of agents connect to each other.
| Periode | 24 mei 2013 |
|---|---|
| Mate van erkenning | National |