Moderators: Elvis, DrVolin, Jeff
elpuma wrote:Reminds me of Terence McKenna's Timewave Zero Theory.
NeonLX wrote:NPR is arguably worse than the commerical networks. Its listeners are programmed to think that it is much more "fair and balanced" than the other outlets, and it's got that highbrow cash-ay that appeals to the well-informed, cultured individual.
At least you know what's coming from the commercial networks is corporate horsesh!t, but NPR pretends to be "better than that".
ninakat wrote:MayDay wrote:It was a great chance for me to bring up the fact that NPR has been selling out for a decade or more now. She of course responded that it's so much more balanced and in-depth than CNN and NBC, as if that somehow justifies allowing ones views to be influenced by inaccurate, controlled info.
Her response is almost more infuriating than the propaganda itself. It's the same kind of delusional thinking that people projected onto Obama, despite the preponderance of evidence that he was one of them. This is why I find the gullibility of liberals/progressives so disgusting. Actually, I'm less forgiving now -- I don't really see them as gullible anymore -- they're in serious denial because they're too fucking comfy and unwilling to deal with the responsibility of owning up to reality -- the prospect of hardship is just too much to bear. So, as it's turning out, they're becoming just as culpable as their corporate foes. The fact that National Propaganda Radio is now almost indistinguishable from Faux News escapes the delusional progressives, because NPR has been one of their cherished institutions. Apparently it always will be.
ninakat wrote:NeonLX wrote:NPR is arguably worse than the commerical networks. Its listeners are programmed to think that it is much more "fair and balanced" than the other outlets, and it's got that highbrow cash-ay that appeals to the well-informed, cultured individual.
At least you know what's coming from the commercial networks is corporate horsesh!t, but NPR pretends to be "better than that".
You got it Neon. And that's my argument about the Obamaphenomenon -- we've had four years of a continuation of Bush with very little resistance. Definitely worse. Perhaps if Romney "wins," the cultured lazy-ass progressives will get motivated into battle once again -- they can fight over the crumbs of empire left behind. Because it's most definitely over, despite the delusional belief systems of most progressives.
(Neon, good to see you!)
JackRiddler wrote:You guys are obsessed with Obama. You talk as though you had believed this administration would do anything differently from what it has done. Did you? Are you disappoined? I'm not! It's exactly what I expected. Of course it's a scam. Of course it's a consolidation and normalization of the Bush achievements. Romney's not supposed to win, and if he does it's a new systemic break and carte blanche for another round of radical pathbreaking. The system will be out of control, in a bad way.
Rest of rant, removed.
General Patton wrote:For something like riots, you would need to take in an extremely large and complex data set, how good is the police force at suppressing riots, what are the motivations of agitators (always varied), things like that, which is way beyond my level of expertise at the moment.
The value of the following the entire process, from having solid data to good analysis and synthesis protocol is very important.
And all of the implicit assumptions must be outlined, as well as the explicit ones built into the simulation itself.
Here are two big fuzzy problems which come up in lots of areas of science:
How do we find patterns in our data?
How do some natural objects compute, or process information?
Computational mechanics is a research program, developed by Jim Crutchfield and henchmen, which aims to address both of these problems with the same set of tricks. Since I think this is an under-appreciated line of research, and because I became one of the aforesaid henchmen in January 1998, I'll explain this at some length.
You go to the lab and you take your favorite set of measurements, until you can't stand it any more, and you want to make something of the data. You might look for structures or patterns in your data: these may even be those emergent properties so fabled in legend and philosophy. To do this, you need a way of characterizing different structures or patterns, and one of doing this is to write down a procedure which will reproduce the pattern, to a certain level of abstraction and accuracy. Fortunately there's a lot of theory on the subject of "effective procedures" in general: it's an off-shoot of mathematical logic called computation theory, or automata theory, which turns out to be equivalent to the theory of formal languages. The languages or automata form a hierarchy, in which those at the higher levels can do anything those at the lower levels can: Turing machines perch at the very top of the heap. (The most basic form of the hierarchy was discovered by Chomsky back when he worked for the Air Force, and is called the Chomsky hierarchy.) Now, Occam's razor tells us to use the simplest procedure we can find, and there are plenty of good ways of saying how complicated an automaton is: the more interesting ones even say that highly random automata are simple.
The computational mechanics procedure, then, is to take your data, discretize it so you've only got a small "finite alphabet" to deal with, and then look for "causal states." Two histories, two series of past data, leave you in the same causal state if they leave you with the same distribution of future data, i.e., if it makes no difference to the future whether you saw one data-series or the other. This being the case, the difference between the series is unimportant, and we lump them together. This procedure identifies causal states, and also identifies the structure of connections or succession in causal states, and so automatically creates an automaton in the lowest Chomsky class you can get away with. (If, as you consider longer and longer stretches of data, you need more and more complicated automata, you go to the next most powerful class of automata and start over.) These automata are called "epsilon-machines" and the procedure "epsilon-machine reconstruction": the names are appalling, but I've not heard better ones.
The computation part of "computation, dynamics and inference" is pretty thoroughly in evidence: but the other two? Well, inference is easy: the machine-reconstruction procedure is an extended exercise in statistical inference, or machine learning, or induction (whichever you prefer). We're trying to fit our data to models of pre-specified classes , and to find the simplest, most accurate model we can. (Obviously there are trade-offs between simplicity and accuracy.) In principle, the whole process could be programmed, and encapsulated in a single piece of software: a "phenomenological engine" or "phenomenologimat" (J. Fetter), an automatic finder of empirical regularities. (Look for it in the next version of emacs.)
http://www.scientificamerican.com/article.cfm?id=robots-adam-and-eve-ai
This time, for "Adam and Eve" knowledge is not forbidden—it's their mission. Working with computers and robots in the lab, scientists have been able to generate exponentially increasing amounts of data as the technology improves. Concerned they lack the manpower to translate the deluge of raw information into results, researchers are programming their mechanical lab assistants to share more of the workload. A prime example of this is "Adam," an autonomous mini laboratory that uses computers, robotics and lab equipment to conduct scientific experiments, automatically generate hypotheses to explain the resulting data, test these hypotheses, and then interpret the results.
Researchers at Aberystwyth University in Wales and England's University of Cambridge report in Science today that they designed Adam—which is 16.4 feet (five meters) in length, with a height and width of 9.8 feet (three meters)—to perform basic biology experiments with minimal human intervention. They describe how the bot operates by relating how he carried out one of his tasks, in this case to find out more about the genetic makeup of baker's yeast Saccharomyces cerevisiae, an organism that scientists use to model more complex life systems.
Using artificial intelligence, Adam hypothesized that certain genes in baker's yeast code for specific enzymes that catalyze biochemical reactions. The robot devised experiments to test these beliefs, ran the experiments, and interpreted the results. Because biological organisms are so complex, the details of biological experiments must be recorded in great detail so those experiments can faithfully be reproduced, even if this record-keeping is tedious, says lead study author Ross King, an Aberystwyth computer science professor. "With a computer, all of the results and conclusions and structure are expressed in logic," he says, "that can uniformly be understood by other researchers."
http://creativemachines.cornell.edu/natural_laws
(A) A computer observes the behavior and dynamics of a real system, and (B) collects data using motion tracking cameras and software. It then automatically searches for equations that describe a natural law relating these variables. (C) Without any prior knowledge about physics, kinematics, or geometry, this algorithm found conservation equations and invariant manifolds that describe the physical laws these systems obey. Pictured, are an actual double pendulum, collected data, and resulting energy conservation law found.
JackRiddler wrote:You guys are obsessed with Obama. You talk as though you had believed this administration would do anything differently from what it has done. Did you? Are you disappoined? I'm not! It's exactly what I expected. Of course it's a scam. Of course it's a consolidation and normalization of the Bush achievements. Romney's not supposed to win, and if he does it's a new systemic break and carte blanche for another round of radical pathbreaking. The system will be out of control, in a bad way.
Rest of rant, removed.
ninakat wrote:If you read the Fuck Obama thread, you'll see that many of us were just as clued in as you are/were, Jack. I'm certainly not obsessed with Obama. I'm disgusted with the people who believed in him, especially those who continue even now. You know, like George Clooney and various pop stars who don't seem to have a clue. Oh, and Michael Moore.
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