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Geek Culture / Kill Math

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Neuro Fuzzy
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Posted: 15th Oct 2011 15:19
I just thought some people would be interested in this article/website I came across. "Kill Math" doesn't look like a project or association so much as a personal project/essay of the site owner's.

The newest article, Ladder of Abstraction, demonstrates an approach to problem solving, along with an AMAZING way of presenting information. (It's an interactive article)
The example used is a car navigating a road. The example given connects different levels of conceptualization and reasoning.

The broader idea, "Kill Math" I think is well summed up in the first paragraph of that link:
Quote: "The power to understand and predict the quantities of the world should not be restricted to those with a freakish knack for manipulating abstract symbols.

When most people speak of Math, what they have in mind is more its mechanism than its essence. This "Math" consists of assigning meaning to a set of symbols, blindly shuffling around these symbols according to arcane rules, and then interpreting a meaning from the shuffled result. The process is not unlike casting lots.

This mechanism of math evolved for a reason: it was the most efficient means of modeling quantitative systems given the constraints of pencil and paper. Unfortunately, most people are not comfortable with bundling up meaning into abstract symbols and making them dance. Thus, the power of math beyond arithmetic is generally reserved for a clergy of scientists and engineers (many of whom struggle with symbolic abstractions more than they'll actually admit).

We are no longer constrained by pencil and paper. The symbolic shuffle should no longer be taken for granted as the fundamental mechanism for understanding quantity and change. Math needs a new interface."


I agree with a lot of points in this. For example, I'd say that differential equations aren't really all that hard to understand. Everyone intuitively knows what velocity is, and of course velocity changes over time, so given a velocity at any point in time you can find position. I don't think it would be unreasonable to teach this concept to middle-schoolers! Of course, solving for things explicitly wouldn't be appropriate for a middle school class, and consequences of differentials like trig and exponential growth/decay would be completely unnecessary, but concepts like "oscillation" and "getting smaller" are easy to understand. Besides, in many real-life applications, it's completely impossible to solve explicitly for a value. You can write transcendental functions and make approximations, but in that case all of the trig and exponential rules are useless.


Anyways, it's a great series of articles well-deserving of a read.

zenassem
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Posted: 15th Oct 2011 18:10 Edited at: 15th Oct 2011 18:14
I'll admit on first reading your post, I though that this would be something I would argue against.

But, I found the "Ladder of Abstraction" article to be quite enjoyable. I truly believe that the interaction aspect, was able to focus intuitively on how I learn concepts. Very refreshing even for the short amount of time I have put into it. I could see this type of interaction presentation working well for programming, like the "sketching" environment presented.

My favorite quote from that text
Quote: "
It's an appalling fact that "scientific computing" is a synonym for "high-performance number crunching" — despite Richard Hamming's vehement warning when founding the field: The purpose of computing is insight, not numbers.

It's unacceptable that our tools for understanding game worlds outperform those for understanding the real world. Until civilized scientific tools become available,* * ... scientific investigators must take responsibility for creating their own explorable visual environments"


Your signature has been erased by a mod please reduce it to 600 x 120.
Veron
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Posted: 15th Oct 2011 19:50 Edited at: 15th Oct 2011 19:54
While the "Ladder of Abstraction" is very nicely presented, I really don't understand the point of it.

Was the whole interaction aspect meant to help people understand the concept? If so, yeah, that was nice, but hardly a new approach to teaching a concept. Am I missing something here?

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lazerus
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Posted: 15th Oct 2011 22:17
BLACK MAGIC !!

There still using algorithms which use symbols and math, so in essence dressing it up differently?

BMacZero
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Posted: 17th Oct 2011 05:26
I haven't looked at much of the other stuff on the site, but the "Ladder of Abstraction" seems more like user interface design than anything else.

Red Eye
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Posted: 17th Oct 2011 23:16 Edited at: 17th Oct 2011 23:24
Great post and link. Thanks Neuro Fuzzy.

Yet, all phenomena need to be formed into formula, those formula can be visualized in any language, we have made an universal language called "maths".

*therefore i still think the universe is based on maths no matter if universe made it with another language*
Neuro Fuzzy
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Posted: 18th Oct 2011 00:11
Quote: "I haven't looked at much of the other stuff on the site, but the "Ladder of Abstraction" seems more like user interface design than anything else."

The guy who made it worked as a UI designer for apple, but I don't see anything that was written that's about UI.

Quote: "Was the whole interaction aspect meant to help people understand the concept? If so, yeah, that was nice, but hardly a new approach to teaching a concept. Am I missing something here?"

I don't think it's about teaching differently. The article's about trying to design an algorithm, and observing its performance in all situations.

The "scrubbing calculator" thing is something that I definitely don't like as an alternative to systems of equations (although it would be nice to have an application like that).

The main message I got from the whole thing was that simulations are preferential to complex, exact systems. in the "Simulation as a practical tool" article, the simulation at the bottom gives us a great idea of the system as a whole behaves. That would be difficult to discover just using pen and paper.


Probably the reason I like these articles is because I like math and computers... and a LOT of people in any math class I've been in just blindly apply rules and laws (because that's what's taught, and that's a good way to do well on tests). With computers literally everywhere, we could do a LOT better in term of simulations and math (and why I posted it here is because it applies moreso to computer programming, where algorithms are designed instead of solved for).

Diggsey
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Posted: 18th Oct 2011 00:25 Edited at: 18th Oct 2011 00:26
If you don't use any form of abstraction then the result is useful in only one situation. The whole point of maths is that it is independent of the situation and so can be applied anywhere. If you do use abstraction then your are doing maths...

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Veron
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Posted: 18th Oct 2011 08:30 Edited at: 18th Oct 2011 08:32
Yeah, I don't see how:

Quote: "trying to design an algorithm, and observing its performance in all situations"


is anything new, anyone who has written anything at the thesis level or higher would have done this a million times if they chose the right research topic. Not to mention Diggsey's good point as well.

Quote: "The main message I got from the whole thing was that simulations are preferential to complex, exact systems."


What exactly is a "complex, exact system"? Simulations are used every day in every facet of life, especially engineering coroprations. People and corporations have realised their value 20+ years ago, they're nothing new. A company I did some research with investigating hypersonic flight using scramjets had an amazing simulator to predict everything and investigate every stage of flight, and I'm sure that's just the tip of the iceberg.

I'm still really confused about this and how its anything special. It just looks like a guy who has solved a very simple problem in an un-necessarily long, albeit an entertaining and well presented way. Don't get me wrong, that's great for teaching a concept, but that's about it.

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ionstream
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Posted: 18th Oct 2011 10:11
Quote: "is anything new, anyone who has written anything at the thesis level or higher would have done this a million times if they chose the right research topic. "


Nobody is claiming that its a new approach to teaching or math. It's just well done.

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