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- W167355315 abstract "AbstractBacteria have demonstrated an amazing capacity to overcome environmental changes by collective adaptation through genetic exchanges. Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different environments. In this paper we present an agent-based model which is inspired by bacterial conjugation of DNA plasmids. In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Systems that are named ’artificial societies’. We have demonstrated that in a model based on free interactions among autonomous agents, optimal results emerge by incrementing heterogeneity levels and decentralizing communication structures, leading to a global adaptation of the system. This organic approach to model peer-to-peer dynamics in Complex Adaptive Systems is what we have named ‘bacterial-based algorithms’ because agents exchange strategic information in the same way that bacteria use conjugation and share genome.KeywordsComplexityArtificial SocietyBacterial-based AlgorithmsP2P SocietyComplex Adaptive SystemsCAS" @default.
- W167355315 created "2016-06-24" @default.
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- W167355315 date "2014-01-01" @default.
- W167355315 modified "2023-10-16" @default.
- W167355315 title "A Bacterial-Based Algorithm to Simulate Complex Adaptive Systems" @default.
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- W167355315 doi "https://doi.org/10.1007/978-3-319-08864-8_24" @default.
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