To date, the solutions for business intelligence are based on limited boolean logic and are not associative at all. Furthermore, the “garbage in garbage out” principle applies: A computer can not distinguish if the entered data is valuable or relevant. A search in a database only delivers useful information, when the person already knows before hand, what exactly he or she is searching.
Humans on the other hand store a piece of data in structures and by associating it with other things. When we recall an information, we have several alternative associative routes to retrieve the memory, Take the terms “warm”, “blue sky”, “ice cream”, “sunshine”, “barbecue”, “beach” and palmtree, there is a tendency to immediately form an associations with “summer”. Which a search in traditional business intelligence solutions and with traditional methods won’t deliver.
However, our holistic approach based upon the holosemantic neuronal network incorporates both the boolean logic and the creative and associative thought processes of humans. The holosemantic neuronal network and data space combined with the linguistic and genetic rules enables the computer to learn, to think and to reach decisions just in the same way as humans – without pre-programmed logic. This is biologically inspired intelligence.
In our third and final part we go into the details of the basis of biologically inspired intelligence.