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Influence of Topology on the Dynamics of in Silico Ecosystems with Non-hierarchical Competition
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Beräkningsvetenskap och beräkningsteknik (CST).ORCID-id: 0000-0001-6079-0452
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2021 (Engelska)Ingår i: 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, Springer Science and Business Media Deutschland GmbH , 2021, s. 113-122Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The extinction of ecosystems and the mechanisms that support or limit species coexistence have long been studied by scientists. It has been shown that competition and cyclic dominance among species promote species coexistence, such as in the classic Rock-Paper-Scissors (RPS) game. However, individuals’ mobility and the underlying topology that defines the neighbourhood relations between individuals also play an important role in maintaining biodiversity. Typically, square grids are used for simulating such interactions. However, these constrain the individuals’ spatial degrees of freedom. In this work, we investigate the effect of the underlying topology on the RPS dynamics. For that purpose, we considered networks with varying node degree distributions and generated according to different theoretical models. We analyzed the time to the first extinction and the patchiness of the in silico ecosystem over time. In general, we observed a distinct large effect of the network topology on the RPS dynamics. Moreover, leaving regular networks aside, the probability of extinction is very high for some network models due to their inherent long-range connections. On the other hand, spatial arrangements characterized by nearest neighbors interactions have fewer long-range correlations, which is essential for biodiversity.

Ort, förlag, år, upplaga, sidor
Springer Science and Business Media Deutschland GmbH , 2021. s. 113-122
Nyckelord [en]
Biodiversity maintenance, Network topology, Non-hierarchical competition, Biodiversity, Degrees of freedom (mechanics), Dynamics, Ecosystems, Industrial research, Robots, Topology, Cyclic dominance, Long range correlations, Long-range connection, Nearest-neighbors interactions, Node degree distribution, Regular networks, Spatial arrangements, Cellular automata
Nationell ämneskategori
Ekologi
Identifikatorer
URN: urn:nbn:se:kth:diva-307225DOI: 10.1007/978-3-030-69480-7_12ISI: 000893738100012Scopus ID: 2-s2.0-85102631684OAI: oai:DiVA.org:kth-307225DiVA, id: diva2:1629594
Konferens
14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, 2 December 2020 through 4 December 2020
Anmärkning

Part of proceedings: ISBN 9783030694791, QC 20230118

Tillgänglig från: 2022-01-18 Skapad: 2022-01-18 Senast uppdaterad: 2023-01-18Bibliografiskt granskad

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Miranda, Gisele

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Totalt: 68 träffar
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