Incorporating Swarm Intelligence Into Computer AI
An anonymous reader writes "From optimizing truck delivery routes to inspiring nerve-cell-based cognition models, ant intelligence has arrived. From the Economist: 'In 1992 Dr. Dorigo and his group began developing Ant Colony Optimisation (ACO), an algorithm that looks for solutions to a problem by simulating a group of ants wandering over an area and laying down pheromones. ACO proved good at solving travelling-salesman-type problems. Since then it has grown into a whole family of algorithms, which have been applied to many practical questions. ... Ant-like algorithms have also been applied to the problem of routing information through communication networks. Dr. Dorigo and Gianni Di Caro, another researcher at IDSIA, have developed AntNet, a routing protocol in which packets of information hop from node to node, leaving a trace that signals the "quality" of their trip as they do so. Other packets sniff the trails thus created and choose accordingly. In computer simulations and tests on small-scale networks, AntNet has been shown to outperform existing routing protocols."
The Government can do it better.
Until it passed by a group of people having a picnic.
Those blast marks on that router are too precise for sand people
How do you incorporate Swarm intelligence into computer AI? Simple - SPAWN MORE OVERLORDS!
"The tree of liberty must be refreshed from time to time with the blood of patriots and tyrants." ~Thomas Jefferson
>format /dev/fd0
>ANT: We must save the queen!
>ANT: Which one of us is the queen?
>ANT: I'm the queen!
>ANT: No, I'm the queen!
(smashing of glass sound)
>ANT: Freedom! Horrible, horrible freedom!