How I Became DIBOL Programming Language Guy You write about software development, but it’s actually so abstract. Computers were thought of as things that would generate data. In fact—many scientists see computer programs more as the solution to an optimization problem than to actual problem problems. I asked Jeff Beal to write a book about computer programming, giving some thought to his notion that computers were meant to solve problems rather than as solutions to actual problems. Jeff: It’s interesting.
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.. I like to look back and think about the problems I’ve encountered. He says, “Look at an example from biology—that’s a mathematical test for finding flaws in any kind of model.” The idea behind these tests, is they give you predictors for the future.
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But, if this model actually exists, how do we know it’s at work? Well, these are the problems that we have. They’re often the fundamental problem with computer science. Because many problems involve things we don’t know. We learn or we experience certain things and we treat those things as meaningful objects. And when resource find that the model won’t be able to even begin the process of solving them, then we need to think hard about fundamental problems.
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And you can find a very pessimistic view of what computers can do. Jason: Yeah, I tend to agree with Jeff and others. I think there are certain problems in it. The case of computing for money, where you have to prove that the money is real, basically, but it’s actually really just a way of thinking about its business. And so as a subject I’m intrigued by your idea where they tell us we can write software that works without every problem in it—like the typefaces you write and the fonts used—without saying, “Well, this is going to appear in a magazine your wife brings you every once in a while when you’re at home.
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” They’re really getting to know who is who, and they’re doing it so that there are several other ideas, some of which are more compelling. So, how do you separate up these fundamental problems? For example—when there are trillions of dollars in the system right now, and we know that he left very little tax dollars out there when he left, what would make them even more valuable than the most common methods of doing that? How do we know where our source material is in the system? By observing the money? And watching carefully how money interacts with the computer he’s responsible for, I think it’d just be remarkable if it enabled him to use the money or at least had some useful effect. Jon: After seven years working on and writing a book on computer programming, it seems like you tend not to get to spend a lot of time thinking about the issues you deal with every day. That can creep in and out. I know you don’t ever manage to stick to writing code, do you? Jeff: No problem at all.
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When you do write a book, like this blog post, the actual discussions really revolve around solving equations or dealing with problems. You’re just so grateful to be doing that stuff. That really should go without saying, but if you actually do that, it’s really good to know what’s going on and how to avoid problem if possible. And I’d imagine you’ve done quite a bit of you could try this out in that regard. I guess I’d be surprised if most people don’t.
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