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no, i'm not a student.

presentations and papers like this are what i'm referring to:

https://skatgame.net/mburo/icaps2010-pg/ICAPS-PG.2010.1.bart...

http://www.plg.inf.uc3m.es/icaps-pg2007/papers/Symbolic%20Ex...

http://www.slideshare.net/StavrosVassos/the-simplefps-planni...

http://abotea.rsise.anu.edu.au/data/offline-htn-planning.pdf

http://www.guerrilla-games.com/presentations/VUA07_Verweij_H...

etc etc etc. turns out a lot of these ideas people thought were failures are getting a new lease on life in games, and they're working pretty well.

curious what classic AI algorithms you think are failing. from where i sit i'm seeing them get a new lease on life. maybe it's just the natural cycle of things: they get hot and invested in, they then fail to live up to their assumed potential, they fall out of favor for a while, and when everyone who was familiar with them - and their shortcomings - is gone a new generation finds it again and starts the cycle over.



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