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|    comp.ai    |    Awaiting the gospel from Sarah Connor    |    1,954 messages    |
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|    Message 53 of 1,954    |
|    Anthony Bucci to All    |
|    Re: Newbie Questions: Starting a Career     |
|    06 Sep 03 06:53:46    |
      From: abucci@cs.brandeis.edu              > But the real point was that you were using "old" as a synonym for "outdated",       > with the implication that newer languages were "better". After all, surely       > they were designed knowing the insights of the past, and improving on them?              You read that into what I said. If you look back, I never said nor       implied that.              And of course modern languages weren't designed on top of insights of the       past. Like any tool, they were designed for a purpose. I'm beginning to       suspect you don't view programming languages as tools with particular       strengths and weaknesses.              > It is only very recently that some of the newest languages have rediscovered       > (inferior versions of) "old" Lisp concepts.              I can agree with that to an extent. The lambda operator in python is       annoying. The "closures" in perl are awkward and bizarre. I view that as       the language losing its identity. Those languages *shouldn't* be trying to       import LISP concepts and should stick to their strong points instead.              > You cleverly cut out the part where I clarified exactly what I meant.       > Namely, computation problems where the solution isn't necessarily known,       > nor even that there is a solution.              What?! Maybe you've had your brain bent by LISP for too long to see that,       like any tool, it encourages you to think about problems in a certain way.       That way is good for some problems and bad for others. LISP is superb for       writing tree searches -- LISP code is about as simple and elegant for such       code as any language conceiveably could be. But, it's terrible for writing       numerical or mathematical algorithms, or randomized algorithms like       hillclimbers or genetic algorithms or neural networks, or numerical       algorithms like numerical integration, vector quantization... As a random       example, it turns out object oriented languages make for very elegant neural       network code. If you have your head stuck in LISP, you might never see       that.              > In fact, as it turns out, it's hard to find a programming problem that Lisp       > is not a strong contender for implementation.              Write a device driver for my video card in LISP that gets >= 30 frames per       second video rendering when I play Return to Castle Wolfenstein.              > But if you're really starting from scratch (as is often the case in AI       > problems), Lisp is probably good for you no matter what you're working on.              I cannot emphasize enough how strongly I disagree with this statement.       Perhaps best to let it rest there.              > The original poster was seeking to be educated.              Yes, educated about getting into robotics. People don't use LISP in       robotics very much. Oddly, BASIC turns up because some popular controllers       are programmed in BASIC. And you thought that language would never be       useful.              > What you're missing is that, if you know Lisp, learning Fortran would be       easy.              What?!?! Seems to me that you're narcotized by this language! You're a       LISP evangelist. Have you ever *seen* Fortran code?              > That is not true, if you haven't even been exposed to the basic programming       > language concepts.              Come on. You get all the basic programming language concepts once you've       learned any language well. Are you trying to suggest there's no way to       learn about recursion if you use C? Some constructs are more elegant in       some languages than in others, that's all.              If you learned Smalltalk and LISP first, you'd find C and BASIC to be real       mind-benders, I'd guess. From my own perspective, the languages I learned       in order were BASIC, 8086 assembly, C, Pascal, Mathematica, perl, Java, I       lost track, Scheme. Learning Java was a breeze, as was learning Scheme.              Now, fess up: which languages did YOU learn first? If you're like most of       us in the US and learned a procedural language like BASIC first, you're in       no position to claim what you said.              It sounds like you're saying that the language itself is what makes the       concept learning *possible*. That doesn't make sense to me. You can learn       any concept in any language. The only question is, how easy and natural is       it to implement the concept in the language. In reality, the concepts are       language-independent. The languages are just tools instantiating the       concepts.              Anthony              [ comp.ai is moderated. To submit, just post and be patient, or if ]       [ that fails mail your article to |
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