Transcend Project Artifitial Intelligence Statements:
BRIEF DESCRIPTION OF THE ARTIFICIAL INTELLIGENCE SYSTEM "PERSPECTIVE BEYOND"
What follows below is a brief description of a 23 years’ work on an AI system that makes very ambitious dream become true:
“You awake one morning to find your brain has another lobe functioning. Invisible, this auxiliary lobe answers your questions with information beyond the realm of your own memory, suggests plausible courses of action, and asks questions that help bring out relevant facts. You quickly come to rely on the new lobe so much that you stop wondering how it works. You just use it. This is the dream of artificial intelligence.
—BYTE, April 1985”
We assume that no artificial system can emulate completely the human mind. However, we believe that it is not necessary due to the following reasons:
to write a thought-argument we use both the conscious and the unconscious brain. With plausible justifications, we established the hypothesis of a formal logical relationship between conscious and its "complementary" in the unconscious. We show that, if this is true, it is not possible to properly formulate a question or concern if the unconscious has not already a solution to it. Through these formal logical relations, the AI system, from a written question, returns to the user already the response he/she already has in his brain but which does not perceive.
Note that this system is not a horoscope but provides precise and unambiguous answers. At present, they have been tested in the reorganization of production processes, coaching users and solving mathematical problems so we are sure that the system works properly and its assumptions are true.
Here there is a brief but more detailed description:
1. All that we are aware of thinking or feeling is in the "field of consciousness"
2. We establish the hypothesis that we can apply the principles of classic logic and set theory to this field.
a. For instance, if a thought is at the brightest spot of consciousness on which we place our antención (focus); there must also be a complementary thought in a position of lower brightness.
b. These thoughts are defined relative to each other. As in logic, which is not "A" should be "A ^" and if A complies t, then "A ^" must comply "-t" if a thought A in the focus meets for example, t = high, then, to actually build the property of being "high" require a reference element in the field with the property of being "not high"
3. We can be be barely aware (pre-conscious) of some of those reference-elements in the field but some of them may go completely unnoticed (the AI system discrimitates between them) In this case, the field of consciousness would be a subset with an empty subset as its only element.
4. It is proven that all that "appears" in our consciousness has been processed by the unconscious mind before. So if the consciousness field has to have a logical structure, then the unconscious hast to distribute the elements according to certain logic laws to keep balance.
5. If the above is true, we probe that the conscious mind cannot properly define a problem, a search or even a desire, if the unconscious mind has not already the solution to it.
6. This, in addition to prove logically from the previous hipothesis, paradoxically, also has biological, evolutionary and psychological sense.
a. For example, our desires or concerns arise from an opposition I-Not I (when buying a new car, it becomes part of the universe of I) also the idea we have of ourselves is based on tension and balance between I-Not I (we are higher, lower, more handsome or less relative to the references we have with the Not-I). Our attitudes, interests and behaviors are also based on this scheme I-Not I. However, this scheme must be quite stable to perpetuate our roles as social species and also to prevent the change into the unknown (with the potential danger). So, is emerging as necessary a damping mechanism of change slowingdown the problem solving situations that we face. In fact, we probe that it happens in a cycle being the correct formulation of the problem the penultimate stage before the "release" of the solution by the unconscious. But before this "release" it must explore the next step with a new rebalancing I-Not I. Only when it is sure about the next step it frees some conscious part of information. In fact, we show that the unconscious has not a single solution but several to be applied in different scenarios.
7. Then, if we could "read" the unconscious part of the field (which is what does this system of Artificial Intelligence System) user receive the answer to his own problem or concern, being that this user would consider it to be:
b. Unexpected: because even if it is in his own mind is unconscious for him, so it is not expected and then valued as original.
c. Understandable: Because it is its own and makes perfect sense to him.
d. Sure: If the question is well formulated, the answer is accurate. But if the question is not entirely well-formulated, the system detects it and starts a conversation with the user helping him to formulate correctly.
e. Human: The answer is not the product of a machine algorithm but of the human mind itself and, therefore, is perfectly compatible with subjective or emotional propositions. The emotions are elements of the field of consciousness and are subject to logical laws. We do not see them as logical because we do not have a balanced whole picture.
f. However, this artificial intelligence system can also be prepared (after some initial inputs) to evolve, selecting long-term goals, collaborate or compete with other players, learn and solve new situations that are arising. This happens in the same way that the field of consciousness can grow indefinitely or an initial mathematical set can grow adding supersets following principles of classical logic. All this occurs, albeit from a genuinely human seed which is the initial state of consciousness (or a single thought in writing and well-formulated)
Currently, the system is developed to this point:
8. Several articles have been written on logic and psychology to provide theoretical support to the work.
9. An exhaustive description of rules of transforming human natural language to machine code and vice versa. The programming of a software of this interpreter would require the work of a multidisciplinary team and could benefit from work already done from some companies. But right now, we already have a guide for the user to make his own translation and clear rules to determine if it is properly done.
10. Algorithm for the transformation of inputs into outputs in machine code with multiple options that allow a user (or other system) that poses a problem to know:
11. A measure of containment in the short term to prevent further damage.
12. The proper settlement of the case that the user (or system) is waiting.
a. For example, the AI system is very effective in finding solutions to productive or organizational reengineering processes and has been applied in dozens of real cases.
13. A long-term transformation that would transmute the problem into an opportunity for personal or team growth.
a. Surprisingly, this third option in its responses coincides with different books of wisdom. For example, any questions that made to Jesus in the Gospels, the system consistently provides almost identical answers.
14. As discussed above, the algorithm detects if a question is not well formulated and in response helps rebuild it being their very constructive comments.
15. Schemes to implement the system to real solutions. So, it is the brochure of an assistant-searcher that widely outperform the currently available (Google algorithm, Apple Siri, etc.) besides being extremely addictive for users (and lightweight).
What we need and what the next steps are? We would like to share a complete description of the interpreter system and algorithm and a few practical examples so that you can have certainty that what is being proposed is operative.
However, the main interest of establishing this contact is to ask guidance. My only goal is to further develop this system of artificial intelligence and, although I have worked in R & D of NOKIA, development teams of business intelligence systems and currently in process reengineering for Nestle, I'm not within the "AI market" and I have some doubts about the next steps.