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Posted by Michael Martin on Tue, 30 Aug 2011 10:11:00 EDT in Programming
Im a big fan of artificial intelligence, and recently tried creating a simple game with adaptive enemy AI driven by a genetic algorithm. This blog entry discusses my approach to implementing the GA, as well as some lessons learned.



Michael Martin's Comments

Comment In: [News - 06/19/2012 - 12:05]

Damned if you do, damned ...

Damned if you do, damned if you don 't. r n r nMale protaginist Sexist. Shallow female protagonist Sexist. Emotionally deep female protagonist Well, apparently that 's sexist too. r n r nI have a hard time swallowing the argument that character development and emotional depth is bad. I would ...

Comment In: [News - 04/18/2012 - 07:15]

Trolls will be the death ...

Trolls will be the death of everything good in this world. This guy invented digital alarm clocks, touch lcd screens, fingerprint scanners and sterilizing surgical instruments Wow He must be a super smart bajillionaire. r n r nToo bad he 's violating my patent on breathing oxygen. Cease and Desist ...

Comment In: [News - 03/06/2012 - 04:24]

As a combat veteran, I ...

As a combat veteran, I 'd like to point out that many people have raised doubts as to the authenticity of the W article depicting the majority of soldiers as sociopaths . I find it relevant to post about this because it 's evident that some commenters on the Medium ...

Comment In: [News - 09/28/2011 - 05:56]

Syndicate getting the X-Com treatment... ...

Syndicate getting the X-Com treatment... : sorry, that's XCOM. Is this the trend now Take a classic game and FPS it I want Archon, the FPS.

Comment In: [News - 09/08/2011 - 08:42]

Maybe I missed something, but ...

Maybe I missed something, but did ThinkOptical just hear about the Wii I mean, it's kind of been a big deal for a few years now. Why wait until now

Comment In: [Blog - 08/30/2011 - 10:11]

At their heart, yes. But ...

At their heart, yes. But I've heard genetic algorithms described as the antidote to gradient search shortcomings. The combination of randomization and a wide body of parallel search solutions gives GAs added flexibility to escape local maxima / minima traps, especially with dynamic response surfaces. When a player figures out ...