public:t-622-arti-09-1:lab_9_treasure
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public:t-622-arti-09-1:lab_9_treasure [2009/03/16 14:36] – created hannes | public:t-622-arti-09-1:lab_9_treasure [2024/04/29 13:33] (current) – external edit 127.0.0.1 | ||
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- | ====== Bayesian Inference: Treasure | + | ====== Bayesian Inference: |
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You are a seasoned tomb raider and have spent the last week rummaging through an old pirate cove full of treasure. So far you have opened 100 chests and of those, 50 have in fact contained treasure! Out of these 50, 40 were trapped and you sustained some painful damage from opening them. Out of these 40 trapped chests, 28 were also locked. Now, of the 10 untrapped chests, three were locked. One would think that only chests with treasure would be trapped, but these pirates were truly nasty, they also put traps on chests with no treasure. Of the 50 chests containing no treasure, 20 were trapped! | You are a seasoned tomb raider and have spent the last week rummaging through an old pirate cove full of treasure. So far you have opened 100 chests and of those, 50 have in fact contained treasure! Out of these 50, 40 were trapped and you sustained some painful damage from opening them. Out of these 40 trapped chests, 28 were also locked. Now, of the 10 untrapped chests, three were locked. One would think that only chests with treasure would be trapped, but these pirates were truly nasty, they also put traps on chests with no treasure. Of the 50 chests containing no treasure, 20 were trapped! | ||
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You have now discovered a new chest that you haven' | You have now discovered a new chest that you haven' | ||
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Construct a Baysian Network to answer these questions and discuss what you would do. | Construct a Baysian Network to answer these questions and discuss what you would do. |
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