February 3, 2010
The rise of the online always-on videogame opens a new world of stat tracking. The recent changes is this area are well beyond simple high score boards or achievements/trophies. For example, consider the article “You Are Being Watched” from a recent issue of the Official Xbox Magazine. The article details the datamining that Bungie is doing for Halo 3 and Halo 3: ODST, that Criterion is doing for Burnout Paradise, and Valve is doing for Team Fortress 2 and Left 4 Dead.
All of these companies are gathering data that shows them how their games are really being played. One usage for this data is to potentially make improvements and bug fixes. In the case of Bungie, players can actually log onto bungie.net and see their own stats and own personal heat maps for the matches they have played. Valve shares some of the overall data, and has recently started adding personalized data (for Steam players only).
For the personalized data, it would be interesting to see some numbers for how many players actually review their stats and whether it has an impact on their playing.
See also:
While I’m clearing out the videogame datamining links…
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datamining, games, video games | Tagged: Bungie, Burnout, Burnout Paradise, Counter-Strike, Criterion Games, datamining, games, Halo, Halo 3, Halo 3: OSDT, Left 4 Dead, Microsoft, neural network, Neuroph, Nintendo, Steam, Team Fortress 2, Valve Corporation, videogames, Wii, Xbox, Xbox Live | 
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Posted by Karl W. Reinsch
January 31, 2010
Scientific American’s online edition has an article touching on the study I previously blogged in which videogames were observed to improve vision. The article is a nice contrast to much of the game journalism coverage of the research, and gives me an opportunity to briefly revisit this topic.
Obviously, we know that games can teach information or hone motor skills – but there isn’t a lot of research around games and brain plasticity.
This article has a nice point calling out the lack of good research in this area (I’m looking at you, Brain Age.):
To date, much of the claims around this rapidly growing area of technology-supported medical interventions are insufficiently supported by scientific data.
(I have since found a study examining the effect of videogames upon memory and thinking skills in the elderly – using Boom Blox.)
Out of a number of online mentions of this research that I have seen, this article comes closest to referencing Steven Johnson’s book “Everything Bad Is Good For You”. Perhaps I have just missed the articles that make the logical connection.
It also amuses me to see a study showing that playing Call Of Duty 2 or Unreal Tournament 2004 is in any measurable sense “better” than playing The Sims 2.
In other news, it seems that Dr. Richard Haier is still researching with Tetris. Dr. Haier did some of the original brain research with Tetris back in 1992 (two publications: one in Intelligence, another in Brain Research). In 2009, Dr. Haier did some new research involving Tetris while acting as a consultant to Blue Planet Software. MSNBC has a brief interview with Dr. Haier. Wired has another writeup on the research. (I would be remiss if I didn’t include a link to a certain someone declaring themselves as a Gameboy Tetris purist: “Tetris on the Gameboy…only.”)
I’ll close with another link I had lying around: scientists studying mice brains by using Quake 2.
No Comments » | brain science, games, video games | Tagged: Blue Planet Software, Boom Blox, brain, Brain Age, brain science, Call of Duty 2, Dallas Gaming Mafia, Dr. Richard Haier, Everything Bad Is Good For You, Gameboy, games, id Software, Nintendo, Oregon Trail, Quake 2, Solitaire, Steve Wozniak, Steven Berlin Johnson, Steven Johnson, Tetris, The Sims 2, This Is Your Brain On Tetris, Unreal Tournament 2004, video games, Woz | Permalink
Posted by Karl W. Reinsch
November 19, 2009
The results of the Mario Bros. AI competition have been made available. (Not really surprising that the top three entries used A*.)
Robin Baumgarten has won, and has made his source code available. AIGameDev.com also has an interview with Robin.
No Comments » | AI, games, video games | Tagged: A*, AI, games, machine learning, Mario, Nintendo, video games | Permalink
Posted by Karl W. Reinsch
October 12, 2009
Certainly, if you’ve been around the rule space long enough, you will be familiar with such terms as “knowledge engineering” and “knowledge capture”.
Robert X. Cringely’s latest column is (somewhat) about a knowledge capture platform. Nestled in among the usual rant about IBM and outsourcing (and I say that as a fan), is a link to an IBM patent for a “Platform for Capturing Knowledge”.
I haven’t read the patent myself, only Cringely’s commentary. But it seems the end result is not an expert system, but a video game for training experts. That’s an interesting aspect, although I’m not sure what the patent has that is unique. I seem to recall seeing plenty of prior art in this area years ago, especially in terms of expert systems for training medical personnel.
I don’t have time to spend digging up prior art right now, but I bet a number of readers have seen some as well.
No Comments » | AI, games, video games | Tagged: expert systems, games, knowledge engineering, Robert X. Cringely, video games | Permalink
Posted by Karl W. Reinsch
August 6, 2009
Julian Togelius and Sergey Karakovskiy have organized a competition to create an agent (or AI) that plays the video game Super Mario Bros. – or, more accurately, Infinite Mario Bros. a tribute game featuring random level generation.
The advantage of using Infinite Mario Bros. is the random level generation – which can let the agent learn more generalized playing tactics rather than tactics that are tailored to a static set of levels as in Ms. Pac-Man or Pitfall.
I look forward to seeing the results of the competition, and hope to see source code published as well.
No Comments » | AI, games, video games | Tagged: AI, games, machine learning, Mario, Ms. Pac-Man, Nintendo, Pitfall, video games | Permalink
Posted by Karl W. Reinsch
June 29, 2009
From Rutgers university comes a learning algorithm that they have applied to playing the Atari 2600 game “Pitfall!”.
An example video is on YouTube.
One of the research papers is apparently here (although the site isn’t being very responsive at the moment).
I’ll get around to posting on machine learning for Pac-Man/Ms. Pac-Man at some point as well.
(Spotted on Kotaku and GameSetWatch.)
No Comments » | AI, games, video games | Tagged: AI, Atari 2600, games, machine learning, Pitfall, video games | Permalink
Posted by Karl W. Reinsch
April 25, 2009
We’ve all seen the findings showing that Tetris has effects upon cerebral glucose metabolic rates (GMRs). Well, the game is back in the news with more brain research…
Read the rest of this entry »
1 Comment | brain science, games, video games | Tagged: Alexey Pajitnov, brain, brain science, games, PTSD, Tetris, This Is Your Brain On Tetris | Permalink
Posted by Karl W. Reinsch
