Abstract
A common strategy for simplifying complex systems involves partitioning them into subsystems whose behaviors are roughly independent of one another at shorter timescales. Dynamic causal models clarify how doing so reveals a system's nonequilibrium causal relationships. Here I use these models to elucidate the idealizations and abstractions involved in representing a system at a timescale. The models reveal that key features of causal representations-such as which variables are exogenous-may vary with the timescale at which a system is considered. This has implications for debates regarding which systems can be represented causally.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Philosophie, Wissenschaftstheorie und Religionswissenschaft |
Themengebiete: | 100 Philosophie und Psychologie > 100 Philosophie |
ISSN: | 0031-8248 |
Sprache: | Englisch |
Dokumenten ID: | 88426 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:27 |
Letzte Änderungen: | 25. Jan. 2022, 09:27 |