An agent-based algorithm resembles behaviour of tree-dwelling bats under fission-fusion dynamics.

ABSTRACT: Utilization of computational approach in the study of social behaviour of animals is increasing and we attempted such an approach in our study of tree-dwelling bats. These bats live in highly dynamic fission-fusion societies that share multiple roosts in a common home range. The key behavioural component associated with complex and non-centralized decision-making processes in roost switching is swarming around potential locations in order to recruit members to the new roost. To understand roost switching dynamics of bat groups in their natural environment, we employed a computational model, the SkyBat, which is based on swarm algorithm, to model this process. In a simulated environment of this agent-based model, we replicated natural fission-fusion dynamics of the Leisler's bat, Nyctalus l

SUBMITTER: Zelenka J 

PROVIDER: S-EPMC7545098 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature