Unknown

Dataset Information

Noise-induced effects in collective dynamics and inferring local interactions from data.


ABSTRACT: In animal groups, individual decisions are best characterized by probabilistic rules. Furthermore, animals of many species live in small groups. Probabilistic interactions among small numbers of individuals lead to a so-called intrinsic noise at the group level. Theory predicts that the strength of intrinsic noise is not a constant but often depends on the collective state of the group; hence, it is also called a state-dependent noise or a multiplicative noise. Surprisingly, such noise may produce collective order. However, only a few empirical studies on collective behaviour have paid attention to such effects owing to the lack of methods that enable us to connect data with theory. Here, we demonstrate a method to characterize the role of stochasticity directly from h

SUBMITTER: Jhawar J 

PROVIDER: S-EPMC7423372 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature