artificial brain

What is the BRAIN code?

The BRAIN code automatically produces knowledge from normal, natural language. The BRAIN code is able to create knowledge in the sense that it automatically combines sentences from a huge amount of information into a logical chain of information that builds on itself which, in the end, represents intelligent conclusions and inferences. In this sense the BRAIN code copies the human thinking process, but with other means .

How does the BRAIN-code work?

The BRAIN-code tries, in a pragmatic way, to imitate the function of the human brain. The BRAIN technology consists, above all, of two important components :

1. a new meta-language
2. a kernel that's capable of automatically combining sentences in the meta-language to knowledge.

The two characteristics are closely linked to each other: the meta-language was developed expressly for this purpose and designed so that its linguistic content can be optimally combined and automatically linked to intelligent connections .

Meta-language

The meta-language doesn't have a limited vocabulary like other programming languages but is rather a combination of:
- natural language
- logical language
- reserved words for special expressions
- symbolic language

In this meta-language, "actions” and “events” are represented by pre-defined patterns or examples (symbolic language) whenever possible. Main words (nouns) are generally left as they are. They are, however, simplified to root words of synonym groups if possible.

An attempt is made to simplify natural language and to translate it into a new language but not to the extent that the sense of the statement gets lost. It is just simplified enough so that a computer program can carry out combination theory n.

BRAIN kernel

The reflection, or dreaming process of the kernel works similarly to a chess program. The program looks for promising combinations of sentences that represent intelligent conclusions. The following illustration shows combination processes in the BRAIN “brain” :

The system continually makes a note of the good combinations. The best combinations (so-called “knowledge lines”) are saved in the short-term memory and then, in a similar fashion, combined with the knowledge of the long-term memory.

A system of this type is very well suited for a parallel, divided processing in a computer cluster, Intranet or the Internet (similar to the SETI program) ).

Development Stages

2000-2001: Feasibility studies
2001-2003: the manual translation of example texts into the meta-language. Development of a simplified kernel for the reflection process (combination theory).
2003: Successful tests with the BRAIN kernel.
2004-2005: Development of a compiler for the automatic translation of natural language into the meta-language .

What can the BRAIN system do and how does the user interact with the system?

When we take two different positions A and B within the realm of knowledge of brainbase, the system can automatically make inquiries concerning the following questions, information and relationship between A und B:
- Is there a way from A to B? (How many ways?)
- Does A necessarily lead to B?
- is B the same or similar, analogous information to A?
- Is B additional, independent or contradictory information?
- Is A true, new, already known, adaptable, derivable?
- What is the source of A and B?
- Show all information in the vicinity of A.
- Where do the conclusions that can be drawn from A ultimately lead?
- What are the consequences of A? How do they lead there?
- How is A defined, derived, described in the brainbase system?
- What is A used for, needed; what purpose does A have?
- Are there contradictions, is there missing information in the whole system or is the data consistent?
- Reflect through the whole system for rules of analogies, synergies, heuristic predictions, heuristic conclusions, parallels,..
- If information on the relationship between A and B has already been collected and reflected on...have good connections been found? ?