These are used in various practical applications, ranging from financial prediction to automobiles on-board diagnostic computers. But Webmind s nodes have a lot more information in them than neurons, they more closely represent huge groups of neurons. It seems that the use of neurons in this way doesn t really embody any of the essence of the brain s intelligence there are other ways of doing the same thing that don t look like the brain but work a little bit better. Similarly, we could use Hopfield net methods to store memories in Webmind, but we ve found other methods that accomplish the same thing and provide greater efficiency with no intelligence loss. Webmind and Expert Systems Rule-based AI programs aren t based on self organizing networks of autonomous elements like neurons or nodes, but rather on systems of simple logical rules.
Intelligence is reduced to following orders.
When used in real applications, rule-based AI systems are called expert systems, because the rules that they follow are provided by humans with expertise in the domain of application. Webmind has similarities to various rule-based AI programs. For instance, SOAR is a leading AI system, based on heuristic algorithms for breaking problems down into subproblems. The basic algorithm of SOAR, breaking goals into subgoals, is something that s necessary for the mind, but it doesn t have to be done in as rigid a way as these programs do it. In fact, doing it in such a rigid way is tremendously destructive.