About an information storing model, similar to human brain memory one

The starting point of our work is the understanding of intelligence as a synergetic combination of: (1) (primary) activity for external interaction; (2) information reflection and information memory; (3) information self-reflection; (4) information expectation; and (5) resolving the information expectation. In this work we discuss the second characteristic connecting the problem of developing the “smart memory” structures. We have built a model for storing information which is similar but not the same as human brain memory. We model human brain memory by storing information using only the names but not pointers. This model gives us new point of view to the human brain processes. In other hand, it simplifies and speeds up the corresponded computer programs. We have implemented the model for storing knowledge represented by ontologies. The model is called “Natural Language Addressing” (NLA). It is a possibility to access information using natural language words or phrases as direct addresses of the information in the computer memory. For this purpose the internal encoding of the letters is used to generate corresponded address co-ordinates. What we gain and loss using NL Addressing? The loss is additional memory for storing internal NL-address structures. But the same if no great losses we will have if we will build balanced search threes or other kind in external indexing. The benefit is in two main achievements: (1) High speed for storing and accessing the information; (2) The possibility to access information immediately after storing without recompilation the database and rebuilding indexes. NL-addressing looks like the information processing in the human brain. NLA has similar to the neurons individual time for reaction and similar possibility to be in work condition permanently without timeouts for recompilation of the database after storing new information. The amount of stored information by NLA is practically not limited. All these characteristics of NLA give a good starting point for further modeling of human brain.