Size-Distribution Scaling in Clusters of Allelomimetic Agents
classification
🌊 nlin.AO
nlin.CG
keywords
agentsalphamodelclustersdataexperimentalparameterparameters
read the original abstract
The allelomimesis clustering model is based on only two parameters: a local parameter $\alpha$ that represents the probability of nearest-neighbor copying and a global parameter $p$ that represents the fraction of unresponsive agents. The model results into the formation of clusters of agents, the sizes of which obey a distribution that is determined by the values of $\alpha$ and $p$. Several experimental data are fitted by tuning the two parameters. In particular, the significance of the value of $\alpha$ that corresponds to an experimental data is discussed and is justified according to behavioral context. Recommendations for possible extensions of the model are also enumerated.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.