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SpookyKitty last won the day on April 24

SpookyKitty had the most liked content!

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About SpookyKitty

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  • Experience with Objectivism
    Atlas Shrugged, Fountainhead, ITOE, Objectivism The Philosophy of Ayn Rand and various articles

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  1. SpookyKitty

    What is 'reason'?

    This is one of my main disagreements with Objectivism. The description of human cognition that Rand and Peikoff give us sounds good on paper, but then when you actually try to go and use it... you can't. It simply doesn't work. To this date, I have never seen even a single detailed step-by-step account of an interesting and/or useful idea being formed and validated using the Objectivist method. Formal logic and probability theory are the way to go.
  2. SpookyKitty

    Just Shut Up and Think

    DavidOdden I would like to see your attempts to solve the above problems. Since you seem to know more about concept formation than anyone else, a conceptual breakdown of the process you used to tackle the problems would be very valuable.
  3. SpookyKitty

    Just Shut Up and Think

    What are you even hoping to achieve by insulting me? Read the thread title and apply yourself to the given problem.
  4. SpookyKitty

    Just Shut Up and Think

    Suppose you had an infinite amount of time on your hands. How exactly would you go about searching through every possible function? How would you know when you've found the best one possible? What do you imagine distinguishes it from all the rest?
  5. SpookyKitty

    Just Shut Up and Think

    @Nicky and @Doug Morris Is it possible to measure the "simplicity" of a provided answer? Also, just drop this side argument about what an open-ended question is and isn't. It's just fucking stupid and not even remotely productive.
  6. SpookyKitty

    Just Shut Up and Think

    Why not try every function? Can you attempt a definition of elegance?
  7. SpookyKitty

    Just Shut Up and Think

    @Doug Morris I just looked up "genius" in the dictionary, and it said "see Doug Morris" Your second answers are not conceptually lazy at all. You are now on your way to finding a general solution. But why fit polynomials in particular? Is that the only class of functions you can try to fit to the given data? Suppose that 1, -1, 1, -1, 1, -1, 1, -1, ... had been one of the sequences. Any polynomial fit here would result in the terms tending towards (+/-) inf at some point, yet that doesn't seem "elegant". That being said, is any class of functions equally as good a space to search through as any other? Why might one or the other be better? Also, how would you define "elegance"? @Nicky "Open-ended" means that I will never give you the correct answer although there is one. And just because a problem is "open-ended" does not mean that some answers are not better than others. That being said, at least you tried, but I'm not at all convinced that you gave the problem 100% effort.
  8. Use the full power of your rational mind to answer, as best as possible, the following open-ended problems: 1) Predict the next five numbers in each sequence and justify your reasoning: a) 0,1,2,3,4,5,6,7,8,9,10,11,.... b) 0,1,3,7,15,31,63,127,... c) 0,1,-1,3,-5,11,-21,... d) 0,0,1,2,1,-2,-3,2,9,6,-11,... e) 0,0,1/3,1/3,2/15,7/90,73/630,... 2) Do the same as above except come up with a different answer and justify your reasoning 3) Which of your two answers is better? 4) Why?
  9. SpookyKitty

    A theory of "theory"

    This is true, but the local relation between force and acceleration has nothing to do with whether or not a theory is causal. Imagine that you have a ball sitting at rest on a table. Now imagine that a leaf falls somewhere in the Andromeda galaxy. The ball, according to Newton's theory of gravitation will begin to move at the same instant that the leaf does. Thus, we have no way of telling whether it was the leaf that caused the ball to move, or whether it was the ball moving that caused the leaf to fall. On the other hand, in relativity theory, the disturbance in the force caused by the leaf has to propagate at at most the speed of light, and so, we always have that the cause precedes its effect.
  10. SpookyKitty

    A theory of "theory"

    Yes. This sentence is ungrammatical, and I can't guess what you're trying to say. But not being causal doesn't mean that the theory isn't a good theory. Being anti-causal, in the sense that future events can effect the past, however, would mean that it isn't a good theory. No. In physics, a cause is an event and the effect must also be an event. Accelerations and forces are not events.
  11. SpookyKitty

    A theory of "theory"

    I don't know if we disagree, because either we're in agreement or we're talking past each other. So I'll state my point as clearly and briefly as I can, and then you tell me what you disagree with and why. A scientific model is an abstract representation of a real thing. For example, scientists talk of a model of the hydrogen atom, a model of a star, a model of the solar system, a model of a mechanical system, and so on. A scientific theory is what tells you how to build models of things. For example, the theory of quantum mechanics gives you a set of assumptions and tells you how to build quantum mechanical models of atoms from those assumptions; the theory of hydrostatics combined with the theory of nuclear fusion and the theory of gravity tell you how to build models of stars; Newton's theory of gravity tells you how to build models of the solar system, etc.
  12. SpookyKitty

    A theory of "theory"

    No. It simply doesn't. There shouldn't be one. Yes. Definitely. In SR, forces are entirely local, and so there is no instantaneous action at a distance. So if I close my eyes, then the sun ceases to shine? Your definition of causality is absurd. By "assumptions" I mean statements which help simplify the problems in the field. No feasible scientific theory can take into account literally everything which could affect the outcome of the experiment. Furthermore, the role of these assumptions (fundamentally) is to restrict the range of possible models, so as to facilitate computation of outcomes of experiments or to make it is easier to search the space of all models quickly and/or efficiently and also to evaluate them. I think I can come up with an even simpler domain over which we can explore the concept of scientific theory. Let's say that you're investigating an unknown (possibly alien) language. You have some documents written in that language and one of them says the following: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum." And your job is to figure out what are the possible words of this language. (Actually, I'm currently working on an AI which solves this problem). One possible theory is that the words in a language consists of a small set of syllables which can be combined to form the words in that language. (This is our first assumption). So a model that this theory produces, for example, could say that some of the syllables of this language are: lo, rem, ip, sum, do, sit, a, met,.... And so, it would allow us to predict that we can have words like "lorem" and "ipsum" which are actually in the document but also we could have words like "sumdosit" and "aremdo" which aren't. Another possible model is that the only syllables are: a,b,c,d,e,f,g,h,i,k,l,m,n,o,p,q,r,s,t,u,v,x,y,z. So this model also predicts words like "lorem" and "ipsum", but it also predicts words that the first model doesn't, for example, "tstrqpomlk" and "defghrp". Which model do you think is a better explanation of the data? An essential component of a theory is a method for evaluating its models. So for our theory we could require that good models first of all assign very high probability to the data that we actually observe. This is so that we can make very precise and correct predictions about the data. By this criterion, the first model is clearly superior to the second. On the other hand, suppose that we come up with the following third model: "lorem, ipsum, dolor, sit, amet,..." where the syllables of the language are precisely the words we observe in the document. This model assigns extremely high probability to the data (In fact, you can't possibly do better). But it seems to sort of cheat because it is overfitting the data. So we could introduce a third assumption about what makes a good model, that is, that a good model minimizes the ratio (#of characters needed to specify the syllables in the model)/(#of characters in the data). This would prevent overfitting. The algorithm that I designed uses these assumptions to produce models of arbitrary languages which are more like the highly precise and very simple first model and less like the imprecise but simple second model and also less like the extremely precise but absurdly complicated third model.
  13. SpookyKitty

    A theory of "theory"

    I never said that.
  14. SpookyKitty

    A theory of "theory"

    No. The acceleration is produced at the exact moment that the force is applied. Not a finite amount of time afterwards. Acceleration is a measure of the instantaneous rate of change in velocity over time. This is a misrepresentation of my argument. A cause must precede its effect chronologically. Because forces produce accelerations instantaneously, one cannot cause the other.
  15. SpookyKitty

    A theory of "theory"

    No. A cause must precede its effect. The acceleration and force are always simultaneous.