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RESEARCH PRODUCT
A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems
Diego Gonzalez-rodriguezJose Rodolfo Hernandez-carrionsubject
Artificial SocietyComputer sciencebusiness.industryComplex Adaptive SystemsArtificial societyBacterial conjugationAutonomous agentCASComplexityCommunications systemBounded rationalityBiblioteconomía y DocumentaciónP2P SocietyBacterial-based AlgorithmsCollective adaptationArtificial intelligenceComplex adaptive systemAdaptation (computer science)businessAlgorithmdescription
Paper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25. Bacteria have demonstrated an amazing capacity to overcome envi-ronmental 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 envi-ronments. 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 peertopeer 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 |