Abstract
We present three distinct concepts of what constitutes a scientific understanding of a dynamical system. The development of each of these paradigms has resulted in a significant expansion in the kind of system that can be investigated. In particular, the recently-developed 'algorithmic modelling paradigm' has allowed us to enlarge the domain of discourse to include complex real-world processes that cannot necessarily be described by conventional differential equations.
| Original language | English |
|---|---|
| Pages (from-to) | 133-149 |
| Number of pages | 17 |
| Journal | Physica D: Nonlinear Phenomena |
| Volume | 132 |
| Issue number | 1-2 |
| Publication status | Published - 15 Jul 1999 |
Keywords
- Algorithmic modelling
- Dynamical systems
- Embedding