Science "asks questions" of the universe. It tries to make sense of the universe by coming up with descriptions that are consistent with the answers they have received so far. If the answers are always changing, then so will the conclusions, eventually.

This does not seem to be the way philosophy, religion, the humanities and social/behavioral sciences work, unlike physics or chemistry or the hard sciences. I'm not implying the hard sciences are "better" or more important than the soft ones, just that the rules are different because the former deal with subjects external to us, the others are more internal. And for some reason, that internal/external distinction is not one modern philosophy seems willing to embrace. It refuses to accept the boundary between mind and nature, between thought and reality. It insists it is artificial.

Neither do I wish to imply the hard sciences are less prone to error than the soft, I feel that their record of progress is more illusory because they restrict themselves to issues that can be reduced to mechanical measurement. Hard science is perfectly capable of leading us into cul-de-sacs, blind alleys, and impenetrable mazes. But at least, it leaves a trail of crumbs you can follow to extricate yourself.

I suppose I am suspicious of all ideas that start out with the basic assumption or model of "computation". We've been "computing" for less than a century now, and I resist elevating that branch of engineering shortcut to the same level of legitimacy that we now agree is the province of mathematics. The laws of computation are not the laws of mathematics, but we have every reason to believe the laws of nature are indeed mathematical. In other words, I trust physical insights gained through mathematical analysis. I do not take the insights gained from computational processes as seriously.

Numerical analysis (the branch of computational mathematical shortcuts, not the concept of studying mathematical formulisms) can yield convenient and even useful results, but it is not the same thing as calculus and differential equations. The former can get you there, but the latter gives you a map you can share with others.