Agent and evolutionary-based modelling and simulation of a simplified living system
Authors:
- Adrian Sośnicki,
- Daniel Grzonka,
- Łukasz Gaża
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.
- Record ID
- CUT5506b899d99d45678353730a946e1384
- Publication categories
- ; ;
- Author
- Pages
- 296-302
- Other elements of collation
- rys.; tab.; Bibliografia (na s.) - 302; Bibliografia (liczba pozycji) - 26; Oznaczenie streszczenia - Abstr.
- Substantive notes
- DOI: 10.7148/2022 (całość)
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Hameed Ibrahim A., Ibrahim A. Hameed Hasan Agus, Agus Hasan Alaliyat Saleh Abdel-Afou Saleh Abdel-Afou Alaliyat (eds.): ECMS 2022 : proceedings of the 36th ECMS International Conference on Modelling and Simulation, May 30th – June 3rd, 2022 Ålesund, Norway, European Conference for Modelling and Simulation, no. Vol. 36, Iss. 1, 2022, Sbr.-Dudweiler, European Council for Modelling and Simulation, ISBN 978-3-937436-77-7 (Print)
- Keywords in English
- living systems, artificial life, agent systems, simulation, modelling, genetic algorithms, behavioural systems
- URL
- https://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Score source
- publisherList
- Score
- Additional fields
- Indeksowana w: Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT5506b899d99d45678353730a946e1384/
- URN
urn:pkr-prod:CUT5506b899d99d45678353730a946e1384
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.