make Algorithm to Decision-making for a wumpus hunter using influence maps. in: current room v ∈ V out: action
a ∈ {shoot, move}, u ∈ neighbourhood(v) constant: threshold ts for shooting an arrow local: influence maps bats, pit, wumpus, and visited (initially ∀ u ∈ V : bats(u) = pit(u) = wumpus(u) = visited(u) = 1)

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Q: Write Algorithm to Decision-making for a wumpus hunter using influence maps. Wumpus-Hunter-React(v)…

A: In this algorithm, we first set a threshold for shooting an arrow. We then initialize the influence…

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Q: Write Algorithm to Decision-making for a wumpus hunter using influence maps. Wumpus-Hunter-React(v)…

A: To make decisions for a wumpus hunter using influence maps, we can follow the below algorithm:

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Q: Write Algorithm to Decision-making for a wumpus hunter using influence maps. Wumpus-Hunter-React(v)…

A: Given data: in: current room v ∈ Vout: action
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Q: Write Algorithm to Decision-making for a wumpus hunter using influence maps. Wumpus-Hunter-React(v)…

A: To make decisions for a wumpus hunter using influence maps, we can follow the below algorithm:

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