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Comments:
<0> http://www.damninteresting.com/?p=793
<1> moin
<2> hey
<3> anyone know keywords or some resources for pathfinding in the case when edges has both a cost and a probability of being traversable and you do not know the traversability outcome til you reach the edge? (or alternatively, a distribution of costs [0, inf])
<4> sorry
<5> hi DanF_DrC
<2> cwenner: sorry, no keywords
<2> can't you "plan" the traversability outcome also? (e.g. train)
<2> otherwise, i don't think there's any way of dealing with this by hoping for the best :-)
<3> hoping for the best? It seems a bit fun but prefer to check current algos, if any, before spending too much time thinking. i meant that the distributions would be inputs
<2> you need to have another heuristic that does a tradeoff of probabilities in terms of "length"
<2> then you're ok
<3> i was pondering about an exact solution since a best-first seems like an extension to the problem
<3> do you mean approximately? it does not seem obvious how to do a polynomial best-first that does not know the outcomes til it moves there (i.e. not while it plan)
<6> hi
<7> hey penny :) , long time no see
<8> wtf?
<8> well thats second case in a row
<9> anyone works on ai but with electronics more specifically
<9> analog circuitry
<9> nothing digital
<3> you could try an example or #robotics
<10> jwest, you might want to check out Kwabena Boahen
<10> for a lecture he gave last year: http://www.almaden.ibm.com/institute/2006/agenda.shtml
<10> it's not exactly ai, but more like realistic brain simulation in hardware
<10> he's starting with the first stages of the visual system, but who knows what it can be used for eventually
<10> somewhere in the last 2 months there was also an article in the New Scientist about his stuff
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