Abstract
Hierarchical structure is an essential part of complexity, an important notion relevant for a wide range of applications ranging from biological population dynamics through robotics to social sciences. In this paper we propose a simple cellular-automata tool for study of hierarchical population dynamics.
| Original language | English |
|---|---|
| Pages (from-to) | 427-433 |
| Number of pages | 7 |
| Journal | International Journal of Modern Physics C |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Mar 2004 |
Keywords
- Cellular-automata
- Complexity
- Hierarchy
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Mathematical Physics
- General Physics and Astronomy
- Computer Science Applications
- Computational Theory and Mathematics