Timeline for How to design AI to understand its selling decisions?

11 events

when toggle format	what		by	license	comment
Apr 30, 2015 at 20:28	comment	added	zardon		I also reading up on the "Monte Carlo Tree Search" which might be another solution
Apr 30, 2015 at 20:13	comment	added	zardon		I'm probably going to lean towards AI has a "persona" as it might make things easier for me
Apr 29, 2015 at 7:12	vote	accept	zardon
Apr 27, 2015 at 14:23	comment	added	Dan Bryant		Regarding strategical rating, one thing that can help a lot to keep players from 'gaming' the hard-coded AI strategies is to add some randomness. Have the strategies generate probability weights for which actions are likely to be best, but then choose the action randomly so as not to be predictable. This also provides one area where you can add a difficulty adjustment knob (by adding additional probability weight to the moves that are likely mistakes.) That said, some players actually enjoy a more predictable AI, as part of the game can be learning the patterns and how to beat them.
Apr 27, 2015 at 12:39	history	edited	Philipp	CC BY-SA 3.0	added 181 characters in body
Apr 27, 2015 at 11:48	history	edited	Philipp	CC BY-SA 3.0	added 428 characters in body
Apr 27, 2015 at 10:54	history	edited	Philipp	CC BY-SA 3.0	added 188 characters in body
Apr 27, 2015 at 10:49	history	edited	Philipp	CC BY-SA 3.0	added 188 characters in body
Apr 27, 2015 at 9:30	history	edited	Philipp	CC BY-SA 3.0	added 29 characters in body
Apr 27, 2015 at 9:20	history	edited	Philipp	CC BY-SA 3.0	added 29 characters in body
Apr 27, 2015 at 9:05	history	answered	Philipp	CC BY-SA 3.0