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In Star Wars Universe, there is a planet Naboo in which an AI agent named C - 3 PO diligently serves her Queen. Engaged in
In Star Wars Universe, there is a planet Naboo in which an AI agent named CPO diligently serves her Queen. Engaged in routine tasks, CPO unexpectedly comes into possession of crucial documents containing the secrets of the castle belonging to the Dark Lord, situated on the volcanic planet of Tectonica Magma. Upon discovering this, the Dark Lord swiftly dispatches his army to retrieve the documents from CPO Fearing the relentless pursuit of the Dark Lords army, CPO seeks refuge within the shelter of a cave. Upon entering the cave, CPO discovers a map, realizing that it is currently located at grid position and must navigate through the cave to reach grid location in order to escape.
Dark Lord's army has got to know that CPO is hiding in the cave and set up the explosives in the cave that will go off after a certain time.
Let us use our knowledge of AI and help CPO to search his path out of the cave. CPO will follow the following rules for Searching the cave this logic is hardcoded in his memory
The x y coordinates of each node are defined by the column and the row shown at the top and left of the maze, respectively. For example, node has x y coordinates
Process neighbours in increasing order. For example, if processing the neighbours of node first process then then
Use a priority queue for your frontier. Add tuples of priority node to the frontier. For example, when performing Uniform Cost Search and processing node add to the frontier, then then where is the distance or cost to each node.
When removing nodes from the frontier or popping off the queue break ties by taking the node that comes first lexicographically. For example, if deciding between and from above, choose first because
A node is considered visited when it is removed from the frontier or popped off the queue
You can only move horizontally and vertically not diagonally
It takes minute to explore a single node. The time to escape the maze will be the sum of all nodes explored, not just the length of the final path.
All edges have cost
You task is to answer the following questions, and provide pseudo codes and python source codes in support of your answers.
I If CPO uses a Uniform Cost Search, how many nodes will it explore and how long will it take CPO to escape the Cave?
II What if the Dark Lord also has the knowledge about the Uniform Cost Search, he updates the time of the explosive so that Uniform Cost Search will not work anymore for CPO What choice does CPO have now? Having studies Search Algorithms, CPO knows that A search works faster than Uniform cost search. He uses A search with the Manhattan distance heuristic. How much time will CPO take now to find the path out of the cave?
III CPO has received a valuable tip from a trusted AI agent friend, revealing that the Dark Lord has updated the timer. It is now apparent that a conventional A search may not suffice. Undeterred by the challenge, CPO leveraging his expertise, identifies a bottleneck in the maze. Specifically, the path between nodes and serves as the sole passage connecting the left and right halves of the maze. Recognizing this crucial point, CPO devises a strategy to split the search into two segments. Initially, he navigates from the starting point to the bottleneck node Subsequently, he continues the search from the bottleneck node to reach the final goal. The question now arises: how much time will it take for CPO to successfully exit the cave?
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