Name
Abstract | ||
|---|---|---|
Cellular Automata are commonly used to describe complex natural phenomena. In many cases it is required to capture the multi-scale nature of these phenomena. A single Cellular Automata model may not be able to efficiently simulate a wide range of spatial and temporal scales. It is our goal to establish a Cellular Automata modeling paradigm for multi-scale processes. Here we will demonstrate that Complex Automata, a paradigm that we recently introduced, are capable to facilitate such modeling. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-79992-4_25 | ACRI |
Keywords | Field | DocType |
cellular automata modeling paradigm,complex automata approach,single cellular automata model,temporal scale,multi-scale process,multi-scale nature,wide range,complex natural phenomenon,cellular automata,multi-scale modeling,complex automata | Scale model,Cellular automaton,Temporal scales,Continuous spatial automaton,Mobile automaton,Computer science,Automaton,Theoretical computer science,Artificial intelligence,Stochastic cellular automaton | Conference |
Volume | ISSN | Citations |
5191 | 0302-9743 | 20 |
PageRank | References | Authors |
2.84 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfons G. Hoekstra | 1 | 770 | 140.05 |
| Jean-luc Falcone | 2 | 112 | 16.94 |
| Alfonso Caiazzo | 3 | 86 | 15.12 |
| Bastien Chopard | 4 | 503 | 102.87 |