Information, knowledge, General Theory of Information, Theory of Structural Reality and All that Jazz:
Rao Mikkilineni Ph D.
CTO at Opos.ai, Distinguished Adjunct Professor at Golden Gate University, California, and Adjunct Associate Professor at Dominican University of California.
Here are the extracts from two reviews on my paper “A New Class of Autopoietic and Cognitive Machines” submitted to the special edition of the Journal Information on “Fundamental Problems of Information Studies”.
“An extraordinary article that builds close links among neuroscience, genetics, AI, and information science. I would assign to a strong seminar in Cognitive Science. It combines medical, biological knowledge not only with AI but also with a very strong philosophical perspective on Information and related domains. A few infelicities have been marked in the version of the paper with my remarks.” --- Reviewer 1
“With the emergence of deep learning, the Fourth Industrial Revolution comes. Professor Burgin's paper "Triadic Automata and Machines as Information?Transformers" is published in this information journal of mdpi, since this paper shows new aspect of triadic automata system as a big mathematical scholar. This new paper of Professor Rao Mikkilineni extends Burgin's theory in section 3 and 4. His new view of neural network is shown in section 2. I think that this paper must deal with new technology like CNN (Convolutional Neural Network) and transformer. Only multi-layer perceptron is described in this theory. In this reason, the content of this paper is a somewhat routine. It is too boring to read, although this paper contains an interesting aspect.”?????????? --- Reviewer 2
Both reviewers also suggested improving the paper that I incorporated and resubmitted.
However, these reviews illustrate the important difference between “information” and “knowledge” and the impact of transformations from one form to another. Same information evokes different behaviors or actions depending on the receiver of that information and their state of knowledge at the time the information was received. The behaviors create new information.
This is the essence of an important lesson derived from the general theory of information (GTI) and the theory of structural reality articulated clearly in many papers and books by Prof. Mark Burgin. The fundamental triad illustrated in my paper shows that knowledge derived from information exchanged is represented by the entities involved?(in this case the sender and the receiver) as named sets shown in figure below.
领英推荐
The knowledge structure defined in GTI, consists of entities, their relationships, and behaviors.?If the receiving and sending entities do not have common knowledge that connects them through a relationship, then the information means nothing to the receiver.?If some attribute triggers a relationship between the information received and some attributes of the local knowledge, then the information causes specific behaviors and invokes certain relationships based on local knowledge structures.
Just as the beauty lies in the eyes of the beholder, the transformation of information into knowledge lies in the current state of knowledge of the receiver. The same information may cause different reactions from different receivers.
This has a profound impact on how we receive, process, and act when a piece of information is received or interpret the behaviors of others to the same piece of information.
Does GTI explain why “to a person with only a hammer, everything looks like a nail?”
Food for thought!
Hopefully, my revised version of the paper will be published in the journal. The purpose of my paper is to introduce the profound nature of GTI and the theory of structural reality to a new generation of computer scientists and information technology professionals with an open mind and a hunger for real breakthroughs. These theories have been neglected for too long by the classical computer scientists and IT pundits interested in only implementations that make money with incremental effort. The purpose is not to solve any specific problem or prove the theory because they are already mathematically proven to be more efficient and effective by Professor Mark Burgin. Once again, in my view, these theories prove the unreasonable effectiveness of mathematics observed by Eugene Wigner.
I also believe that the jazz metaphor is very appropriate because classical computer science provides the thesis and current IT complexity, and the shortfall of AI provide the anti-thesis and the new theories provide the synthesis.