How are the sciences of complex systems possible?
Philosophy of Science 72 (4):531-556 (2005)
| Abstract | To understand the behavior of a complex system, you must understand the interactions among its parts. Doing so is difficult for non-decomposable systems, in which the interactions strongly influence the short-term behavior of the parts. Science's principal tool for dealing with non-decomposable systems is a variety of probabilistic analysis that I call EPA. I show that EPA's power derives from an assumption that appears to be false of non-decomposable complex systems, in virtue of their very non-decomposability. Yet EPA is extremely successful. I aim to find an interpretation of EPA's assumption that is consistent with, indeed that explains, its success. | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,672 |
| External links |
|
| Through your library | Configure |
Elias Zafiris (2005). Complex Systems From the Perspective of Category Theory: II. Covering Systems and Sheaves. Axiomathes 15 (2).
Andreas Wagner (1999). Causality in Complex Systems. Biology and Philosophy 14 (1).
Meinard Kuhlmann (2011). Mechanisms in Dynamically Complex Systems. In Phyllis McKay Illari & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
Tadeusz Wieslaw Zawidzki (1998). Competing Models of Stability in Complex, Evolving Systems: Kauffman Vs. Simon. Biology and Philosophy 13 (4).
Monthly downloads |
Added to index2010-04-15Total downloads30 ( #40,824 of 549,045 )Recent downloads (6 months)2 ( #37,252 of 549,045 )How can I increase my downloads? |

