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--- public:t-622-arti-09-1:lab_9_materials [2009/03/16 14:23] – arnarbi
+++ public:t-622-arti-09-1:lab_9_materials [2024/04/29 13:33] (current) – external edit 127.0.0.1
@@ Line 15: / Line 15: @@
   * it can check if the room smells bad or not and use that as an indicator.
-  - Design a Bayesian network that the NPC uses to decide when in front of a door, if he should open it or not. Start by inventing reasonable probabilities for the relation between the contents of the room and its smell.
+  - Design a very simple Bayesian network that the NPC uses to decide when in front of a door, if he should open it or not. Start by inventing reasonable probabilities for the relation between the contents of the room and its smell.
-  - Argue how, instead of using made-up probabilities, the NPC can dynamically update the Bayesian network by using learning, as it travels through the building, opening doors.
+  - Argue how, instead of using made-up probabilities, the NPC can learn as he opens doors and dynamically update the Bayesian network to become smarter.
 === Problem 2: Treasure hunt ===