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Göteborgs universitets publikationer

Rock-scissor-paper dynamics in a digital ecology

Författare och institution:
Philip Gerlee (Institutionen för medicin, avdelningen för molekylär och klinisk medicin); Torbjörn Lundh (Institutionen för matematiska vetenskaper, matematik, Chalmers/GU)
Publicerad i:
12th International Conference on the Synthesis and Simulation of Living Systems: Artificial Life XII, ALIFE 2010; Odense; Denmark; 19 August 2010 through 23 August 2010, s. 285-295
Konferensbidrag, refereegranskat
Fulltextlänk (lokalt arkiv):
Sammanfattning (abstract):
In this paper we present an Alife-platform named Urdar aimed at investigating dynamics of ecosystems where species engage in cross-feeding, i.e. where metabolites are passed from one species to the next in a process of sequential degra- dation. This type of interactions are commonly found in microbial ecosystems such as bacterial consortia degrading complex compounds. We have studied this phenomenon from an abstract point of view by considering artificial organisms which metabolise binary strings from a shared environment. The organisms are represented as simple cellular automaton rules and the analogue of energy in the system is an approxi- mation of the Shannon entropy of the binary strings. Only or- ganisms which increase the entropy of the transformed strings are allowed to replicate. We find that the system exhibits a large degree of biodiversity and a non-stationary species dis- tribution, especially during low rates of energy inflow, and that the time spent in each species configuration exhibits a broad distribution. Investigating the interaction between dif- ferent species in the system by invasion experiments we ob- serve that co-existence is a common feature and that some triplets of species exhibit intransitive, i.e. rock-paper-scissors like, interactions.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Biologiska vetenskaper ->
Biologiska vetenskaper ->
Postens nummer:
Posten skapad:
2011-01-17 10:55
Posten ändrad:
2016-08-22 11:08

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