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in the past few months i started to learn a little bit about AI, including algorithms in planning (like PDDL) and logic engines. the more i learned the more i s

in the past few months i started to learn a little bit about AI, including algorithms in planning (like PDDL) and logic engines. the more i learned the more i saw what the gaming companies, and that entire community, are doing and how they are some of the biggest consumers of these technologies. i have to say that it's impressed me, and it seems like the gaming companies are on the forefront of multiple areas of technologies, not just graphics and specialized CPUs. no if only i could hire from that talent pool :)

kaoD 14y ago
Woah, I've been doing the same thing for the past few months because I took an AI branch for my last year in college. Unfortunately I feel they've been teaching us mostly outdated and useless algorithms (with all due respect). I wish I was taught more about neural networks, machine learning, data mining techniques... and less about classic (and failed) AI algorithms. The most I learnt about these techniques was from teaching myself, even for the last year. Perhaps we attend the same classes? [sorry for the OT guys, no PMs in Hacker News!]
- jnazario 14y ago
  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.bartheye.pdf https://skatgame.net/mburo/icaps2010-pg/ICAPS-PG.2010.1.bart... http://www.plg.inf.uc3m.es/icaps-pg2007/papers/Symbolic%20Exploration%20for%20Generalized%20Game%20Playing%20in%20PDDL.pdf http://www.plg.inf.uc3m.es/icaps-pg2007/papers/Symbolic%20Ex... http://www.slideshare.net/StavrosVassos/the-simplefps-planning-domain-a-pddl-benchmark-for-proactive-npcs http://www.slideshare.net/StavrosVassos/the-simplefps-planni... http://abotea.rsise.anu.edu.au/data/offline-htn-planning.pdf http://abotea.rsise.anu.edu.au/data/offline-htn-planning.pdf http://www.guerrilla-games.com/presentations/VUA07_Verweij_Hierarchically-Layered-MP-Bot_System.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.

kaoD 14y ago

Woah, I've been doing the same thing for the past few months because I took an AI branch for my last year in college. Unfortunately I feel they've been teaching us mostly outdated and useless algorithms (with all due respect). I wish I was taught more about neural networks, machine learning, data mining techniques... and less about classic (and failed) AI algorithms. The most I learnt about these techniques was from teaching myself, even for the last year. Perhaps we attend the same classes? [sorry for the OT guys, no PMs in Hacker News!]

jnazario 14y ago
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.bartheye.pdf https://skatgame.net/mburo/icaps2010-pg/ICAPS-PG.2010.1.bart... http://www.plg.inf.uc3m.es/icaps-pg2007/papers/Symbolic%20Exploration%20for%20Generalized%20Game%20Playing%20in%20PDDL.pdf http://www.plg.inf.uc3m.es/icaps-pg2007/papers/Symbolic%20Ex... http://www.slideshare.net/StavrosVassos/the-simplefps-planning-domain-a-pddl-benchmark-for-proactive-npcs http://www.slideshare.net/StavrosVassos/the-simplefps-planni... http://abotea.rsise.anu.edu.au/data/offline-htn-planning.pdf http://abotea.rsise.anu.edu.au/data/offline-htn-planning.pdf http://www.guerrilla-games.com/presentations/VUA07_Verweij_Hierarchically-Layered-MP-Bot_System.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.