RT Conference Proceedings
T1 A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems
A1 González Rodríguez, Diego
A1 Hernández Carrión, José Rodolfo
AB 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.
PB Springer
SN 978-3-319-08863-1
SN 978-3-319-08864-8 (online)
SN 0302-9743
YR 2014
FD 2014
LK https://hdl.handle.net/10016/22371
UL https://hdl.handle.net/10016/22371
LA eng
NO Paper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25.
DS e-Archivo
RD 17 jul. 2024