Multiple Neighborhood Cellular Automata as a Mechanism for Creating an AGI on a Blockchain

Round 1

Reviewer 1 Report

This paper provide a theoretical idea how the brain is constructed, the main question should be how it was evolved.

There is no any experimental justification of the proposed approach.

All figures is well-know and without citations

The paper is out of the scopy of this Journal.

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

The manuscript is well written. However to improve the quality of the manuscript my suggestion is as follows.

1) In the introduction section, please highlight your contributions, motivation, and the benefits of this research in bullets. Please explain the concept of cellular automata using a diagram.

2) The overall structure of your paper is missing. Please check the below reference

F. , A. Majeed, A. Mateen, R. Abbasi and S. O. Hwang, "A Systematic Survey on the Recent Advancements in the Social Internet of Things," in IEEE Access, vol. 10, pp. 63867-63884, 2022, doi: 10.1109/ACCESS.2022.3183261.

And write the overall structure at the end of the introduction section. i. e. the overall organization of our study is as follows. The rest of the paper is organized as follows. In Section 2, we describe xxxx 

3) Please separate related work and your proposed work.

4) Please mention the simulation tool in the results section.

 5) Please mention future work in your study. 

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

This is an article that flies over the concept of intelligence.

Artificial intelligence, which has been talked about since 1951 (J von Neumann), has been influenced by McCarthy (MIT, 1958), object programming (Smalltalk in the 1980s, etc.), big data (fashionable in 2015) and now AI again in 2020.

Computing is inseparably linked to the human brain, even long before the birth of computing if we consider the obsessive and brilliant papers of Alan Turing, obsessed from his adolescence with the notion of a robot - to imitate another human or identify and differentiate a robot from a human, (cf. the captcha algorithms to know if we are really talking to a person, a question historically due to Turing).

Of course, the article is full of anthropomorphic ideas. However, human intelligence is often far removed from the ideas that are evoked in the text: the notion of analogy, so precious for building bridges in creativity and in the human imagination is absent, the crystallization around breakthrough, around ideas in rupture is not analyzed. Determinism and probabilistic vision are taken into account.

The article argues that blockchain technology can support a multi-agent system, provided that these agents of various species are in a neighborhood federation. These foreign agents between them therefore have the opportunity to oppose, to converse, to calculate and to synthesize a first knowledge, before reaching a second level of complexity and to work within a larger network.

There would be a lot of criticism to be made on all the paragraphs of the article, which are often a series of quite questionable assertions, and most of the time not very thorough, since the article skims over a series of disparate concepts.

The article mixes concepts that are fashionable or that cross the authors' minds, without necessarily being completely mastered in the text: Gödel's theory of incompleteness, the Turing machine, blockchain technologies are therefore specified in the article.

It is certainly not a scientific text, but rather a position paper, with a series of opinions on fashionable subjects. This leads to glaring contradictions.

•         The article rejects anthropomorphism, and the article contains only computer cliches on artificial intelligence, intelligent agents, neural networks, DNA, etc. which is rather a singular refutation: genetic algorithms are missing from the list of anthropomorphic sayings. These technologies are only part of optimization theories and computer technologies, which have nothing to do with the human brain or human physiology, but the anthropomorphic expression is only a language that allows non-mathematicians to more easily understand the concepts and algorithms in question.

•         The article asserts that collective intelligence is far superior to individual intelligence, ignoring the horrific crowd effects (due to collective ignorance, manipulation, misinformation, etc.) historically disastrous. Humanity has progressed scientifically thanks to the unique and marvelous intelligence of a few isolated individuals, often criticized, at the time of their discovery: Galileo, Copernicus, Pasteur, etc. are examples. In mathematics, fortunately unique individuals have discovered essential notions: Euclid, Pythagoras, Archimedes, Euler, Gauss, Lagrange, Fourier, Galois, Cauchy, Poisson, Jacobi, Weierstrass, etc. They were quite alone … (See for example the comments of Poisson on Galois’s paper, See the critics of Lagrange on the Fourier’s paper, etc.), (except perhaps Pythagoras who was more of a school than a real individual).

•         The article states the limits of a Turing machine, and then the authors praise the blockchain which is also a linear chronological sequence, similar to a Turing ribbon.

·         The article does not remind Aristotelian logic whereas the Turing machine is a logical machine (like Gödel's theory). And yet in the years 2030-2040, quantum machines and technologies will emerge, where other calculations and other experiments on the scale of the atom will be possible, which will really be a new departure from what we know today.

·         The article does not talk at all about analog models, which we were still using in the 1970s, in order to model and simulate the Navier-Stokes equations. And yet meteorological models, fluid mechanics and hydrology models, processed by real analog models (wind tunnel tests, tides, etc.) are still effective, and have not been replaced by numerical models.

·         The article does not express of analog models, produced via nanotechnologies (mechanical and/or thermodynamic engines) at the scale of the atom to concretely produce much larger networks (in terms of graph theory) than can be internet today (IoT and internet nodes only number in the billions, which is very low).

·         Finally, the article does not analyze the share of shadow and light in the notion of digital data. The concept of data is finally barely addressed in the text, which is a misfortune, because it is the second crucial pillar with that of the algorithm in the underlying concept of artificial intelligence, at the heart of the article.

The article could take a more height view, if it took into account the finiteness of the power of silicon computers, due to the fact that Moore's law died out around 2008: because of this death, the conventional computers network (either in core architecture or in a communication network) to increase their power. This finiteness then justifies the notion of agents endowed with computing power, storage and communication in order to reason locally and make decisions.

Author Response

Please see the attachment

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Dear authors,

thank you for the improvement of your paper

Reviewer 2 Report

The authors have incorporated all necessary changes to the manuscript. 

Reviewer 3 Report

The authors took into account my remarks and suggestions