Avida

By Charles Ofria, Claus O. Wilke. 2004

323 citations recorded by the source corpus.

Avida is a software platform for experiments with self-replicating and evolving computer programs. It provides detailed control over experimental settings and protocols, a large array of measurement tools, and sophisticated methods to analyze and post-process experimental data. We explain the general principles on which Avida is built, as well as its main components and their interactions. We also explain how experiments are set up, carried out, and analyzed.

Subfields: Genetics, Molecular Biology, Sociology and Political Science

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Citations in the corpus

Emergent Tool Use From Multi-Agent Autocurricula (2019, background): “Open-ended evolution was further explored in the environments Polyworld [21] and Geb [22], where agents compete and mate in a 2D world, and in Tierra [23] and Avida [24], where computer programs compete for computational resources.”
The Evolutionary Origins of Phenotypic Plasticity (2016, methodology): “The Avida software provides a computational instance of evolution and enables researchers to experimentally test hypotheses about evolution that would otherwise be difficult or impossible to test in natural systems (Ofria et al., 2009).”
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria (2014, background): “The ideas in Tierra later inspired Avida (Ofria and Wilke, 2004), where unlike in Tierra CPU time is allocated proportionately to a ﬁtness measure called merit that is based on a creature’s ability to perform various computations.”
Fundamentals of natural computing: an overview (2007, background): “Current ALife research includes its applications in arts and games [98,182,190], investigations into the evolutionary nature of life as well as into the realization of life [182,207,210,233,237,278], studies concerning the evolution of language [48,165], and applications in technological areas, such”
Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes (2008, methodology): “Experiment One: Standard Configuration A general description of the Avida software can be found elsewhere [25].”