34460 Y99 TheAlgorithmsControllingVendingMachines
Q&@
WORK THROUGH
MECHANICAL GEARS AND
electric circuits! The algorithms controlling
HUMANS work through sensations, emotions & thoughts?
And exactly the same kind of algorithms control pigs, baboons, otters & chickens!
Consider, for example, the following problem: a baboon spots some bananas hanging on a tree, bùt
also notices a lion lurking nearby... Should this baboon risk hìs lífe for those bananas? This boils down
to a mathematical problem of calculating probabilities: the probability that the baboon will die of hun-
ger if (s)he does not eat the bananas, versus the probability that the lion will catch the baboon! Thus,
in order to solve such a problem like this the baboon needs to take into account a lot of data! How far
am I fròm these bananas? How far away is that lion? How fast càn I rùn? How fast can the lion rùn:
is (s)he awake or asleep? Does the lion seem to be hungry or satiated? How many bananas are there
& are they big or small? Green or ripe? In addition to these external data, our baboon must also now
consider information about conditions within his/her own body! If (s)he is starving, it makes sense to
risk everything for those bananas, no matter the odds! In contrast, if it has just eaten, and bananas
are now mere greed, why take any risks at all? In order to weigh & balance àll thése variables & pro-
babilities, a baboon requires far more complicated algorithms than the ones controlling automatic
vending machines. The prize for making correct calculations is correspondingly greater:
the prize ìs the very survival of the baboon...
WORK THROUGH
MECHANICAL GEARS AND
electric circuits! The algorithms controlling
HUMANS work through sensations, emotions & thoughts?
And exactly the same kind of algorithms control pigs, baboons, otters & chickens!
Consider, for example, the following problem: a baboon spots some bananas hanging on a tree, bùt
also notices a lion lurking nearby... Should this baboon risk hìs lífe for those bananas? This boils down
to a mathematical problem of calculating probabilities: the probability that the baboon will die of hun-
ger if (s)he does not eat the bananas, versus the probability that the lion will catch the baboon! Thus,
in order to solve such a problem like this the baboon needs to take into account a lot of data! How far
am I fròm these bananas? How far away is that lion? How fast càn I rùn? How fast can the lion rùn:
is (s)he awake or asleep? Does the lion seem to be hungry or satiated? How many bananas are there
& are they big or small? Green or ripe? In addition to these external data, our baboon must also now
consider information about conditions within his/her own body! If (s)he is starving, it makes sense to
risk everything for those bananas, no matter the odds! In contrast, if it has just eaten, and bananas
are now mere greed, why take any risks at all? In order to weigh & balance àll thése variables & pro-
babilities, a baboon requires far more complicated algorithms than the ones controlling automatic
vending machines. The prize for making correct calculations is correspondingly greater:
the prize ìs the very survival of the baboon...
17 apr 2019 - bewerkt op 21 apr 2019
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