Szczegóły publikacji
Opis bibliograficzny
Agent-oriented foraminifera habitat simulation / Maciej Kaziród, Wojciech KORCZYŃSKI, Elias Fernández, Aleksander BYRSKI, Marek KISIEL-DOROHINICKI, Paweł TOPA, Jarosław Tyszka, Maciej Komosinski // Procedia Computer Science [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1877-0509. — 2015 — vol. 51, s. 1062–1071. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1070–1071, Abstr. — E. Fernández – dod. afiliacja: University of Vigo, Spain ; P. Topa – dod. afiliacja: ING PAN – Institute of Geological Sciences, Polish Academy of Sciences. — ICCS 2015 : International Conference on Computational Science : Computational Science at the Gates of Nature : 1–3 June 2015, Reykjavík, Iceland
Autorzy (8)
- AGHKaziród Maciej
- AGHKorczyński Wojciech
- AGHFernández Elias
- AGHByrski Aleksander
- AGHKisiel-Dorohinicki Marek
- AGHTopa Paweł
- Tyszka Jarosław
- Komosinski Maciej
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 89654 |
|---|---|
| Data dodania do BaDAP | 2015-07-16 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.procs.2015.05.264 |
| Rok publikacji | 2015 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Procedia Computer Science |
Abstract
An agent-oriented software solution for simulation of marine unicellular organisms called foraminifera is presented. Their simplified microhabitat interactions are described and implemented to run the model and verify its flexibility. This group of well fossilizable protists has been selected due to its excellent "in fossilio" record that should help to verify our future long-run evolutionary results. The introduced system is built utilizing PyAge platform and based on easily exchangeable components that may be replaced (also in runtime). Selected experiments considering substantial and technological efficiency were conducted and their results are presented and discussed. We show that our artificial life simulation follows realistic rules known from nature. The Lotka-Volterra predator-prey dynamics was simulated that proves the potential for extendability to more complex biological phenomena. © The Authors. Published by Elsevier B.V.