Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code

Lukasz MacHowski; Tshilidzi Marwala

doi:10.1109/CSCI54926.2021.00360

Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code

Lukasz MacHowski
, Tshilidzi Marwala

Faculty of Engineering and the Built Environment

Synthesis Software Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The Corona pandemic highlights the need for sustainable production systems using automation. Traditional automation is fragile and hard to get right. This method converts one hard problem of producing sustainable production code into three simpler problems: data, patterns and working prototypes. By using agent-based simulation and NanoVC repos for agent arbitration, we create a simulated environment for the approach. Patterns developed by people are used to transform working prototypes into templates where data is fed through to create the robots that create the production code. Having two layers of robots allow early implementation choices to be replaced. Robot of Robots encode a legacy of the person that designed them, thus reducing the fragility of the production code.

Original language	English
Title of host publication	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1938-1943
Number of pages	6
ISBN (Electronic)	9781665458412
DOIs	https://doi.org/10.1109/CSCI54926.2021.00360
Publication status	Published - 2021
Event	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States Duration: 15 Dec 2021 → 17 Dec 2021

Publication series

Name	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

Conference

Conference	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Country/Territory	United States
City	Las Vegas
Period	15/12/21 → 17/12/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

agent-based-modelling
nano version control

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Safety, Risk, Reliability and Quality

Access to Document

10.1109/CSCI54926.2021.00360

Cite this

MacHowski, L., & Marwala, T. (2021). Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 (pp. 1938-1943). (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI54926.2021.00360

MacHowski, Lukasz ; Marwala, Tshilidzi. / Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1938-1943 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

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title = "Nano Version Control and {"}Robots of Robots{"}- Data Driven, Regenerative Production Code",

abstract = "The Corona pandemic highlights the need for sustainable production systems using automation. Traditional automation is fragile and hard to get right. This method converts one hard problem of producing sustainable production code into three simpler problems: data, patterns and working prototypes. By using agent-based simulation and NanoVC repos for agent arbitration, we create a simulated environment for the approach. Patterns developed by people are used to transform working prototypes into templates where data is fed through to create the robots that create the production code. Having two layers of robots allow early implementation choices to be replaced. Robot of Robots encode a legacy of the person that designed them, thus reducing the fragility of the production code.",

keywords = "agent-based-modelling, nano version control",

author = "Lukasz MacHowski and Tshilidzi Marwala",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 ; Conference date: 15-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/CSCI54926.2021.00360",

language = "English",

series = "Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1938--1943",

booktitle = "Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021",

address = "United States",

}

MacHowski, L & Marwala, T 2021, Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code. in Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1938-1943, 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Las Vegas, United States, 15/12/21. https://doi.org/10.1109/CSCI54926.2021.00360

Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code. / MacHowski, Lukasz; Marwala, Tshilidzi.
Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1938-1943 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Marwala, Tshilidzi

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N2 - The Corona pandemic highlights the need for sustainable production systems using automation. Traditional automation is fragile and hard to get right. This method converts one hard problem of producing sustainable production code into three simpler problems: data, patterns and working prototypes. By using agent-based simulation and NanoVC repos for agent arbitration, we create a simulated environment for the approach. Patterns developed by people are used to transform working prototypes into templates where data is fed through to create the robots that create the production code. Having two layers of robots allow early implementation choices to be replaced. Robot of Robots encode a legacy of the person that designed them, thus reducing the fragility of the production code.

AB - The Corona pandemic highlights the need for sustainable production systems using automation. Traditional automation is fragile and hard to get right. This method converts one hard problem of producing sustainable production code into three simpler problems: data, patterns and working prototypes. By using agent-based simulation and NanoVC repos for agent arbitration, we create a simulated environment for the approach. Patterns developed by people are used to transform working prototypes into templates where data is fed through to create the robots that create the production code. Having two layers of robots allow early implementation choices to be replaced. Robot of Robots encode a legacy of the person that designed them, thus reducing the fragility of the production code.

KW - agent-based-modelling

KW - nano version control

UR - https://www.scopus.com/pages/publications/85133922658

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DO - 10.1109/CSCI54926.2021.00360

M3 - Conference contribution

AN - SCOPUS:85133922658

T3 - Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

SP - 1938

EP - 1943

BT - Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

Y2 - 15 December 2021 through 17 December 2021

ER -

MacHowski L, Marwala T. Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1938-1943. (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). doi: 10.1109/CSCI54926.2021.00360

Nano Version Control and "Robots of Robots"- Data Driven, Regenerative Production Code

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this