Acta Scientific Computer Sciences

Research Article Volume 4 Issue 7

DOSSIER: A Toolkit to Extract Data from Digital Life Simulations Using Dose

Argho Maitra1 and Maurice HT Ling1,2*

1School of Data Sciences, Perdana University, Malaysia
2HOHY Private Limited, Singapore

*Corresponding Author: Maurice HT Ling, School of Data Sciences, Perdana University, Malaysia.

Received: May 14, 2022; Published: June 09, 2022

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Abstract

Artificial life, also known as digital organisms, has been useful in testing various evolutionary hypotheses. DOSE is one of the platforms for experimenting with digital organisms and had been used in several studies. However, the internal architecture of DOSE does not allow for easy processing of simulation results despite storing the state of each digital organism and the world for each generation in an SQLite database. To address this problem, we implemented DOSSIER, a Python-based toolkit that can connect with the SQLite database, facilitate data extraction and processing into a standardized table of fitness scores.


Keywords: Artificial Life; Digital Organisms; Cellular Automata; Computational Tool; Python Programming; DOSE

References

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Citation

Citation: Argho Maitra and Maurice HT Ling. “DOSSIER: A Toolkit to Extract Data from Digital Life Simulations Using Dose". Acta Scientific Computer Sciences 4.7 (2022): 37-40.

Copyright

Copyright: © 2022 Argho Maitra and Maurice HT Ling. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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