Experiment Shows People Exposed To East German Socialism Cheat More
I can't speak for Kilobug, but my answers would be:
1. It depends on your values. E.g., how much do you value your own welfare compared to family, friends, co-workers, fellow citizens, and those other people? If you want to be conscious about it, you need to think about what you value and how you might have done things differently in that light.
2. I probably thought I was I a deotonologist, but if you carefully study your own and other people's decisions, the vast majority are consequentialists with values that tend to selfishness. WItness how many Americans are angry about the Central American children/teenagers trying to get into the US.
3. As others have commented, doing a full analysis is time-consuming and uncertain (hence "maximum expected utility"). Most of the time, one has to follow rules that generally (so one believes) that have good consequences. And generally, virtue and duty are good rules. But people make up all sorts of rules with little sense behind them. My grandmother thought opening an umbrella indoors was bad luck, but I am a little skeptical about that one.
US Nuclear Missile Silos Use Safe, Secure 8" Floppy Disks
Treating it as a maxim rather than as a caution.
Ask Slashdot: Books for a Comp Sci Graduate Student?
Knuth's books are very book, but they don't get much use from me. Instead:
Introduction to Algorithms by Cormen et al.
A good statistics book. Mine is an old thing: Mathematical Statistics with Applications by Mendenhall and Scheaffer.
A good operations research book (linear programming, queueing theory, Markov models/decision processes, and the like). Another old thing: Operations Research by Hillier and Lieberman.
Other than that, it's books that are/were used often for programming reference: Common Lisp: The Language by Steele and LaTeX: A Document Preparation System by Lamport look the most worn.
Hopefully, someone will come up with something a little more recent than the "old things" I mentioned above.
How Ireland Got Apple's $9 Billion Australian Profit
Really, the "location" of these mega-corporations is a sham.
Instead, figure out (or estimate) what percentage of the shares are owned by US residents. Multiply that percentage times the corporation's profit times the corporate tax rate and that is what they should pay.
Note: Any public corporation knows who are the immediate owners, so that they can send out shareholder info. However, a shareholder might be another corporation which is owned by other corporations, etc. Hence, the need to estimate (along with following the money as much as possible).
DARPA Tackles Machine Learning
Raw data need to be cleaned up and organized to feed into the ML algorithm.
The results of the ML algorithm need to be cleaned up and organized so that they can be used by the rest of the system.
No one (currently) can tell you which ML algorithm will work best on your problem and how its parameters should be chosen without a lot of study. Preconceived bias (e.g., that it should be biologically based, blah, blah) can be a killer here.
The best results typically come from combinations of ML algorithms through some kind of ensemble learning, so now your have the problem of choosing a good combination and choosing a lot more parameters.
All of the above need to work together in concert.
Certainly, it's not a bad idea to try to make this process better, but I wouldn't be expecting miracles too soon.
How Do We Program Moral Machines?
Yes, plus the fact that this kind of decision policy is already evolving with collision avoidance systems in some cars (and experimental self-driving cars). It's not going to be a sudden mystery to be solved 30 years from now.
Rise of the Online Code Schools
One of the biggest issues for current MOOCs is the large attrition rate (in the 90% range). Assuming that people signing up are at least average intelligence (on average of course), this suggests that average students are unable, for whatever reasons, to complete these courses. Part of it is that the instructors come from elite universities, are used to teaching elite students, and approach the MOOC in the same way, leaving the average student in the dust. Another part is that average students lack the motivation, discipline, as well as the smarts to learn complex concepts without a real-life instruction.
The Information Age: North Korean Style
Why doesn't North Korea just use some version of Apple's walled garden? It sounds perfect for them.
Ask Slashdot: How To Become Informed In Judicial Elections?
The local paper will typically have recommendations of how to vote for as well. It's not ideal, but you might trust them enough to weed out the crazies.
The Rage For MOOCs
After taking a few courses from Coursera, a high dropout rate is not surprising. The CS courses are mainly math courses in disguise, which works when you are teaching CS students at the high end of the intelligence spectrum, like at Stanford and other top-tier colleges, but simply loses most students otherwise. Even the NLP course was very focused on the mathematical models, much less so on the linguistics.
I suppose many might say it's not computer science without the math, but you can still teach much about computer technology and software design while being gentler with the math.
Personally, I've enjoyed the courses because I like math (except the quantum computation course, which was dreadful), but I know most of our CS students would be buried by the math. For the record, I'm at a state univ with some good research, but nowhere near a flagship. We do want to graduate some students, and the students we do graduate are in demand in our area.
Ask Slashdot: What Distros Have You Used, In What Order?
Redhat, then Fedora
With 'Access Codes,' Textbook Pricing More Complicated Than Ever
It's not only the extra cost, but it's also a loss of control over private information of the students.
Why Professors Love (and Loathe) Technology
As a CS instructor, I use Blackboard for homework and program submission, for posting solutions and for recording grades. Nothing else. Making a full-fledged web site out of Blackboard is too terrible to think about.
Poison Attacks Against Machine Learning
I'm not sure why this would be surprising. ML algorithms work best if the future behaves like the past, if it has the same probability distribution as the training data. Some algorithms can handle slow changes if they can continually get new training data, but large changes is a problem.
Positive Bias Could Erode Public Trust In Science
This has always been the case. Science is not a uniform march to the Truth. There is a difference between well-verified and understood results (think engineering) and working at the margins with not much data and the usual human failings (the vast majority of publications). Scientists are humans, not gods. It takes a lot of effort and error to get to the well-verified and understood part.
Rep. Darrell Issa Requests Public Comments On ACTA
If serving meat had as great of an effect on public health as providing universal birth control, then absolutely.
This is the key point. There is an enormous amount of evidence that birth control improves public health. From a scientific point of view, it is a no-brainer.
About half of all pregnancies in the United States are unintended. Regular use of contraception prevents unintended pregnancy and reduces the need for abortion. Contraception also allows women to determine the timing and spacing of pregnancies, protecting their health and improving the well-being of their children. Contraceptive use saves money by avoiding the costs of unintended pregnancy and by making pregnancies healthier, saving millions in health care expenses. Several contraceptives also have non-contraceptive health benefits, such as decreasing the risk of certain cancers and treating debilitating menstrual problems. Making contraception more affordable is a significant step forward for the health of women and their families.
This quote comes from http://www.rhrealitycheck.org/article/2011/11/03/testimony-of-douglas-laube-md, which also includes citations for the above points. I would also include reduction of teenage pregnancy as an additional plus.
Academics Not Productive Enough? Sack 'em
Publish any shit you can! That's the best way! unfortunately, that's how academica works.
That is going to be the result of this kind of policy. I know in Computer Science, there are lots of bad conferences and journals that are easy to publish in.
I suppose privacy is impractical to those who want to sell our personal information.
Study Says Fracking is Safe In Theory But Often Not In Practice
In theory, theory and practice are the same. In practice, they are not.
- Albert Einstein -
Researchers Feel Pressure To Cite Superfluous Papers
I have bad news for you ... dig deep enough, and you find out all the other 'sciences' suffer from exactly the same problems.
In all sciences, reviewers will often ask authors to cite additional papers and provide some commentary on them. [How do your results differ?] Whether the papers are relevant is difficult to answer.
I have been on both sides of this. As a reviewer, I have often asked that additional papers be cited, sometimes my own. After all, I wouldn't be a reviewer if I didn't have some expertise. As an author, usually I agree the additional citations are relevant. Even I don't think so, I 'suck it up' in order to get my paper published. I'm sure the authors of the papers I reviewed sometimes felt the same way.
Welcome to peer-review.
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