Here is an example algorithm for a global resonance design of a distributed superintelligence.
Initialization of the system
initialize_worldmodel()
initialize_human_gan()
Continuous data collection and analysis
while True:
environmental data = capture_environmental_data()
citizen_data = collect_citizen_data()
update_world_model(environmental_data, citizen_data)
Determining the current entropy in the system
entropy = calculate_entropy(world_model)
if entropy > upper_entropy_limit:
reduce_entropy(world_model)
elif entropy = lower_entropy_limit:
increase_entropy(world_model)
Human-GAN: Generating new ideas and solutions
new_ideas = human_gan_generator(world_model)
new_ideas = human_gan_discriminator(new_ideas)
integrate_ideas(world_model, new_ideas)
promote_emergence(world_model)
visualize_world_model()
feedback = sammle_feedback()
improve_model(world_model, feedback)
wait until the next loop