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--- public:t-622-arti-11-1:lab_7_materials [2011/03/17 15:24] – angelo
+++ public:t-622-arti-11-1:lab_7_materials [2024/04/29 13:33] (current) – external edit 127.0.0.1
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   - Argue how, instead of using made-up probabilities, the NPC can learn as he opens doors and dynamically update the Bayesian network becoming smarter.
-==== Bayesian Inference: The Pirate Treasure ====
+==== Problem 2: The Pirate Treasure ====
 {{  :public:t-622-arti-09-1:treasurechest.jpg|}}
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 You have now discovered a new chest that you haven't seen before. When you take a careful look, you notice that it is locked. What is the chance that this chest will contain treasure? What is the chance that it will be trapped? You are not feeling so good after all the previous traps, so will it be worth opening this chest if your life is on the line?
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 Construct a Baysian Network to answer these questions and discuss what you would do.