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 |
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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