Paper Info
Title
Four Classes of Morphogenetic Collective Systems.
Abstract
We studied the roles of morphogenetic principles-heterogeneity of components, dynamic differentiation/re-differentiation of components, and local information sharing among components-in the self-organization of morphogenetic collective systems. By incrementally introducing these principles to collectives, we defined four distinct classes of morphogenetic collective systems. Monte Carlo simulations were conducted using an extended version of the Swarm Chemistry model that was equipped with dynamic differentiation/re-differentiation and local information sharing capabilities. Self-organization of swarms was characterized by several kinetic and topological measurements, the latter of which were facilitated by a newly developed network-based method. Results of simulations revealed that, while heterogeneity of components had a strong impact on the structure and behavior of the swarms, dynamic differentiation/re-differentiation of components and local information sharing helped the swarms maintain spatially adjacent, coherent organization.
Year
DOI
Venue
2014
10.7551/978-0-262-32621-6-ch052
ALIFE 2014: THE FOURTEENTH INTERNATIONAL CONFERENCE ON THE SYNTHESIS AND SIMULATION OF LIVING SYSTEMS
Field
DocType
Volume
Monte Carlo method,Swarm behaviour,Artificial intelligence,Mathematics,Information sharing
Journal
abs/1405.6296
Citations 
PageRank 
References 
3
0.42
16
Authors
1
Name
Order
Citations
PageRank
Hiroki Sayama131949.14