1995
DOI: 10.1007/bf01581586
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Hypercycles versus parasites in the origin of life: model dependence in spatial hypercycle systems

Abstract: Spatial hypercycle systems can be modelled by means of cellular automata or partial differential equations. In either model, two dimensional spirals or clusters can be formed. Different models give rise to slightly different spatial structures, but the response to parasites is fundamentally different: In cellular automata the hypercycle is resistant to parasites that are fatal in a partial differential equations model. In three dimensions scroll rings correspond to the two dimensional spirals. Numerical s… Show more

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Cited by 15 publications
(7 citation statements)
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“…We believe that it can greatly help researchers who want to better understand this topic. As it has been previously shown that the methodology has a great impact on results and may therefore lead to varied interpretations [48], we propose to use multi-agent-based modeling to increase the precision of the model. We investigated the role of different attributes that characterize the agents and stability of the system consisting of interacting replicases and parasites, as well as its evolutionary dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…We believe that it can greatly help researchers who want to better understand this topic. As it has been previously shown that the methodology has a great impact on results and may therefore lead to varied interpretations [48], we propose to use multi-agent-based modeling to increase the precision of the model. We investigated the role of different attributes that characterize the agents and stability of the system consisting of interacting replicases and parasites, as well as its evolutionary dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…This system is capable of maintaining its diversity, but its evolvability is very limited [15], and it is unstable in both the ecological [16] and the evolutionary [17,18] sense. The spatial version of the hypercycle [19] does not perform much better either [20][21][22].…”
Section: Prebiotic Evolution I: Self-replicating Macromoleculesmentioning
confidence: 93%
“…We aim to analyse the explanatory power and applicability of these models in the context of the three criteria explicated in the Introduction above. Specifically, our analysis includes the following models: The Quasispecies model (QS) [ 1 , 22 ] The Hypercycle (HC), spatial hypercycle (SHC) [ 23 , 24 , 25 , 26 ], compartmentalized hypercycle (CHC) [ 27 ] models The Parabolic replicators (PR) model [ 17 ] The Stochastic Corrector model (SCM) [ 27 , 28 , 29 , 30 ] The Open chaotic flow (OCF) model [ 31 , 32 ] The Metabolically Coupled Replicator System (MCRS) model [ 33 , 34 , 35 , 36 , 37 , 38 ] Trait Group Models (TGM) [ 39 , 40 ] …”
Section: Models Of Prebiotic Systemsmentioning
confidence: 99%
“…The Hypercycle (HC), spatial hypercycle (SHC) [ 23 , 24 , 25 , 26 ], compartmentalized hypercycle (CHC) [ 27 ] models…”
Section: Models Of Prebiotic Systemsmentioning
confidence: 99%