Increased Complexity and Fitness of Artificial Cells that Reproduce Using Spatially Distributed Asynchronous Parallel Processes
Lance R. Williams

TL;DR
This paper demonstrates artificial cells that leverage spatial parallelism to replicate faster than smaller cells, highlighting how increased complexity can enhance reproductive efficiency in artificial life systems.
Contribution
It introduces a novel artificial chemistry framework where artificial cells use spatial parallelism to outperform smaller counterparts in replication speed.
Findings
Artificial cells replicate faster using spatial parallelism.
Parallel processing increases complexity but improves efficiency.
Significant speedup achieved despite added control complexity.
Abstract
Replication time is among the most important components of a bacterial cell's reproductive fitness. Paradoxically, larger cells replicate in less time than smaller cells despite the fact that building a larger cell requires increased quantities of raw materials and energy. This feat is primarily accomplished by the massive over expression of ribosomes, which permits translation of mRNA into protein, the limiting step in reproduction, to occur at a scale that would be impossible were it not for the use of parallel processing. In computer science, spatial parallelism is the distribution of work across the nodes of a distributed-memory multicomputer system. Despite the fact that a non-negligible fraction of artificial life research is grounded in formulations based on spatially parallel substrates, there have been no examples of artificial organisms that use spatial parallelism to…
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