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Review
Peer-Review Record

Artificial Intelligence for Sustainable Complex Socio-Technical-Economic Ecosystems

by Alejandro N. Martínez-García
Reviewer 1: Anonymous
Reviewer 2:
Submission received: 22 April 2022 / Revised: 24 May 2022 / Accepted: 6 June 2022 / Published: 8 June 2022

Round 1

Reviewer 1 Report

I feel that this comprehensive and informative literature review would be more appropriate for another MDPI journal such as Sustainability.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

This is a theoretical paper on artificial intelligence for sustainable complex socio technical economic ecosystems.

Overall, the paper is interesting, although the contribution to the literature seems marginal.

The theoretical subsections merge well together. However, the arguments should go deeper and be less descriptive.

Figures need a better resolution (particularly Figs. 1 and 2). Figure 1 is too complex and allegedly depicts "some" variables related to sustainable human-made complex systems. Overall, quite confusing.

The author's native language is not English. Some sentences sound awkward. Many sentences are too long (e.g., last sentence in the abstract). Proofreading is by a professional is strongly recommended.

I wish the author good luck with this research.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

  1. The abstract is not understandable, can you summarize it better?
  2. syndemics -> pandemics?
  3. The introduction is too long, can you summarize it better?
  4. It's not clear what is the purpose of this paper and any experiments, or results to back it?

Author Response

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Author Response File: Author Response.pdf

Reviewer 4 Report

The research presents a very well sustained set of systemic arguments, but practical implications or proposals would have been desirable given this Computation volume scope.  From a systemic perspective, the topic is very interesting and relevant for our current global issues, and several practical applications could contribute to support the proposed models.

For instance, it would have been very interesting to see the proposed nonlinear dynamics of extreme poverty reduction can be simulated using publicly available datasets for the situation of interest. As a result, proposals could be validated or new questions could emerge.

I am aware that the suggested simulation implies a great amount of work, and that an inductive approach is most probably not the author's intent. Thus, the situation makes it very difficult for the author to resubmit another version of the paper within the volume's required timeframe.

If the author is willing to take the chance to reelaborate the article on the basis of the recommended simulation approach, I would be willing to revise it again for possible publication.

 

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Dear author,

Thank you for revising the manuscript.

I believe all the queries have been addressed, so I am ready to recommend acceptance of this manuscript version for publication.

Well done!

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Overall paper is improved from the previous version.

Author Response

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Author Response File: Author Response.pdf

Reviewer 4 Report

The heuristic device presented is, from a theorethical point of view, very interesting. It is well presented and clearly sustained by appropiate literature. Nevertheless, the submited version does not fulfill the requirement asked for in the previous revision, i.e, at least a simulated application with related data was expected. Given the scope of this Computation issue, I do not see the revised version submitted as fit for it.

Author Response

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Author Response File: Author Response.pdf

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