Data Dumping for Artificial Intelligence

If we are to build artificial intelligent devices which will work along side humans and mimic a lot of the same methods of learning and thinking we will need to design a better data dumping system. Why? Well because as a computer system with artificial intelligence in the future will need to program itself thru its own observations, but as we all know occasionally when learning we observe something and interpret that data and so later make corrections. When learning a new skill or bettering our judgment in decision making we are entirely re-adjusting and for artificial intelligence to do that also it have to be able to continue its learning process. This is why we have to include "data dumping" as among the key features and among the most significant features in the development of self-learning, self-programming and next generation artificial intelligent computers.


But how can we ensure that this is done the most efficiently, after all if you dump the wrong data then you could be in big trouble, especially if the artificial intelligent android robot is making your dinner and burns up the kitchen. for example if the meal is not perfect you don't want it to dump the entire recipe, only the part that was over or under cooked. Ideally the artificial intelligent robot could like your mother and grandmother adjust the recipe each time until every one being served is ultimately delighted.

Additionally it's significant to "trash can" the information, but be able to retrieve it if needed sometime in the future. Or to dump partial data sets or replace them, but as it learns and experiments it will need to hold some of the old data, as it may be significant data for future renditions of your recipe. So, please be thinking on the "data dump" concept if you are programming artificial intelligence and look at all this in 2006.