This is the second time in a few days that someone has linked me to this presentation, so I figured I should share it even more widely. 🙂 It’s a bit Singularitarian, but it’s deeply relevant on so many fronts that I do think everyone should read it.
Congressman proposes cigarette-style warning label on games
(Visited 7479 times)Last week, Democrat Rep. Joe Baca introduced “The Video Game Health Labeling Act of 2009.” If passed, the bill would create a new rule in the Consumer Product Safety Commission forcing developers to affix a warning on any game rated Teen or higher. The label would read, “WARNING: Excessive exposure to violent video games and other violent media has been linked to aggressive behavior.”
via Don’t pretend video games are as bad as cigarettes | The Digital Home – CNET News.
Link to his press release, which incorrectly asserts that the link between violent video games and increased aggression in young people is solidly established. (To be more precise, there’s plenty of evidence for emotional arousal, not for a more sensible definition of aggression).
Link to his proposed bill. Looks like it would only apply to games rated T or higher. Not that that makes this any more sensible. Section 1c seems aimed at handling digital distribution cases, whilst ignoring that most digitally distributed games are not, in fact, rated by the ESRB. Oops.
Baca (D-Rialto) represents California’s 43rd District. So now you know who to write to and call.
Saving mud history
(Visited 11394 times)After the whole Threshold deal with Wikipedia and losing mud history, a new Wiki was created on Wikia in order to preserve mud history.
I’ve put up a detailed LegendMUD entry with a bunch of citations. Yeah, it’s a conflict of interest, and I am sure I am misremembering stuff or letting my bias show. But it’s also the only way some of this history will be preserved.(And wow, I had forgotten a lot of this stuff!)
Go there, and jump in, and help. And hey, if people do the hard work of finding sources and the like here, then some articles can maybe migrate back to Wikipedia.
The taxman cometh, part umpteen
(Visited 6292 times)By one estimate, about $1 billion in real dollars changed hands in computer-based environments called ‘virtual worlds’ in 2005. … IRS employees have been unable to respond to taxpayer inquiries about how to report transactions associated with them. Economic activities in virtual worlds may present an emerging area of tax noncompliance, in part because the IRS has not provided guidance about whether and how taxpayers should report such activities. To improve voluntary tax compliance, the National Taxpayer Advocate recommends that the IRS issue guidance addressing how taxpayers should report economic activities in virtual worlds.
— from the report summary (PDF) of this year’s recommendations from the national taxpayer advocate.
Via Kotaku, Slashdot, WaPo…
The whole thing is large, if you want to read about everything else beyond virtual worlds.
Researchers work on procedural fun
(Visited 10230 times)Developing behaviors via genetic algorithms of various sorts has been around a long time now. You come up with a basic environment and ruleset, then you let loose millions of generations of simple AIs to keep trying to surivive. You then have the AIs tweak themselves based on what survived well, attempting to evolve the best survivor.
This can be used for lots of purposes — and now it’s being applied to game design. Starting with a simple Pac-Man like environment, researchers are generating zillions of procedural games, and then testing to see which is most fun. But how to measure the fun?
It should be pretty straightforward to see how game rules can be represented to be evolved: just encode them as e.g. an array of integers, and define some sensible mutation and possibly recombination operators. (In this particular case, we use a simple generational EA without crossover.) For other rule spaces, some rules might be more like parameters, and could be represented as real numbers.
What’s the much trickier question is the fitness function. How do you evaluate the fitness of a particular set of game rules? …
Our solution is to use learnability as a predictor of fun. A good game is one that is not winnable by a novice player, but which the player can learn to play better and better over time, and eventually win; it has a smooth learning curve.