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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Agent and Evolutionary-based Modelling and Simulation of a Simplified Living System |
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Authors: |
Adrian Sosnicki, Daniel Grzonka, Lukasz Gaza |
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Published in:
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(2022). ECMS 2022,
36th Proceedings DOI: http://doi.org/10.7148/2022 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-77-7 Communications of the ECMS , Volume 36, Issue 1, June 2022, Ålesund, Norway May 30th - June 3rd, 2022 |
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Citation
format: |
Adrian Sosnicki, Daniel Grzonka, Lukasz Gaza (2022). Agent and Evolutionary-based Modelling and Simulation of a Simplified Living System, ECMS 2022 Proceedings Edited By: Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat, European Council for Modeling and Simulation. doi:10.7148/2022-0296 |
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DOI: |
https://doi.org/10.7148/2022-0296 |
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Abstract: |
Modelling artificial life has been an issue explored for several decades. However, science continues to surprise us with novel approaches to this problem. The aim of this paper is to innovative model a simplified living environment based on the agent paradigm and genetic algorithms. This paper also proposes a novel way of defining agent systems and artificial life embedded in a genetic approach. In the modelled and implemented environment there is one species of fauna and a simple species of flora that serves as food for the fauna. The fauna is implemented using agents inscribed in a genetic representation. The experimental part of the work includes calls to the simulator and the study of the dependencies resulting from the simulation mechanisms. |
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