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ModelsAsExplanations


Other pages: Bio/Geo/CS250, MainModelingWiki

Huge thanks to Christina for bringing donuts and coffee!


So, what's an explanation?

Example: phenomenon: when you heat up liquid water, it becomes steam. Explanation:

phenomenon: coffee makes you pee a lot explanation:

phenomenon: the Yankees win more World Series than any other team explanation 1:

explanation 2:

explanation 3:

explanation 4:


Hempel and Oppenheim describe explanation as consisting of the explanandum and the explanans

But Yankee explanation 2 doesn't work! The Angels have poor payroll but do well. And what about prediction? Hempel and Oppenheim be

but physical laws should govern baseball players can the explanans be about physical laws of baseball-playing? But it doesn't account for chance, interactions, why some teams have stronger players than others okay, but there are levels of organization

Levels of explanation Do we want to explain at the highest possible level? Maybe, because too far down allows for too much error. But too high is

Prediction and explanation differ only in whether you know the explanandum beforehand