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For the state space graph on the left, node (a) is the start state and node (z) is the goal state. An AI agent can only transition between states connected by an edge. Edges are labeled with the cost of traversing them. Nodes contain their label inside. A heuristic function value that estimates the cost to reach a goal from each node is provided in orange below the node. Not every search algorithm uses edge costs or heuristic values. Use them as necessary. In which order the states of this graph will be expanded by Breadth-First Search (BFS)? Assume BFS stops once the goal state (z) is expanded, and use alphabetical order to break ties in expansion priority. As part of your answer, please include a list of expanded nodes in the order that they are expanded by BFS. The first node must be the start state (a) and the last node must be the goal state (z) (example: Final answer: [a, x1, x2, x3, z]). Please include partial calculations and/or explain your work for partial credit consideration.

If you use Monte Carlo Tree Search (MCTS) to implement an AI agent to play a two-player, zero-sum game, you will need a playout (rollout) policy. The playout policy determines how the simulation proceeds from a newly expanded node until a terminal state is reached. It is very important that this policy is not random, since it does not model a realistic opponent and makes MCTS struggle to identify critical game-ending scenarios. For chess, one example of a non-random playout policy consists of picking moves according to the following criteria: (1) move to capture a piece, (2) move to avoid immediate capture [if (1) is not available], or (3) move randomly [if (2) is not available]. Notice that a non-random playout policy can still involve performing random moves. Battleship is a classic 2-player naval strategy game. The goal is to secretly place a fleet of 5 ships on your 10×10 grid (2 ships taking 3 squares and the remainin ships taking 2, 4, and 5 squares), take turns calling out coordinates on your opponent’s grid, and sink all their ships before they sink yours. You sink a ship after calling out all coordinates occupied by that ship. You will create an AI agent to play the Battleship game using MCTS. Please outline a non-random playout policy for this agent.

36.  What is this tissue type indicate by the blue arrow?37.  Where is it located in the body in this picture?

32. What tissue type is this?33.  What is a function of this tissue type?

For the state space graph on the left, node (a) is the start state and node (z) is the goal state. An AI agent can only transition between states connected by an edge. Edges are labeled with the cost of traversing them. Nodes contain their label inside. A heuristic function value that estimates the cost to reach a goal from each node is provided in orange below the node. Not every search algorithm uses edge costs or heuristic values. Use them as necessary. Is the provided heuristic function an admissible heuristic function? Justify your answer.

For the state space graph on the left, node (a) is the start state and node (z) is the goal state. An AI agent can only transition between states connected by an edge. Edges are labeled with the cost of traversing them. Nodes contain their label inside. A heuristic function value that estimates the cost to reach a goal from each node is provided in orange below the node. Not every search algorithm uses edge costs or heuristic values. Use them as necessary. What is the path returned by Uniform Cost Search (UCS)? Assume UCS stops once the goal state (z) is expanded, and use alphabetical order to break ties in expansion priority. As part of your answer, list the nodes in the path returned by UCS. The first node must be the start state (a) and the last node must be the goal state (z) (example: Final answer: [a, x1, x2, x3, z]). Please include partial calculations and/or explain your work for partial credit consideration.

For the state space graph on the left, node (a) is the start state and node (z) is the goal state. An AI agent can only transition between states connected by an edge. Edges are labeled with the cost of traversing them. Nodes contain their label inside. A heuristic function value that estimates the cost to reach a goal from each node is provided in orange below the node. Not every search algorithm uses edge costs or heuristic values. Use them as necessary. What is the path returned by Greedy Best-First Search (GBFS)? Assume GBFS stops once the goal state (z) is expanded, and use alphabetical order to break ties in expansion priority. As part of your answer, list the nodes in the path returned by GBFS. The first node must be the start state (a) and the last node must be the goal state (z) (example: Final answer: [a, x1, x2, x3, z]). Please include partial calculations and/or explain your work for partial credit consideration.

What is the best current energy option for Florida to use for electricity generation, given the various pros and cons of every option? Choose one energy source and make an evidence-based case for it being the most effective and appropriate choice for Florida at the current moment, using what you have learned in this portion of the class. Your answer should be a well-constructed and organized essay of at least 250 words.   Grading Breakdown Identification of one appropriate energy source – 3 ptsEvidence-based case for chosen energy source’s fit for Florida – 15 ptsGrammar & Mechanics – 3 ptsAt least 250 words – 4 pts

34.  What is this tissue type?35.  What is the purpose of the location of the red arrow?

4.  What tissue type is this?5.  What is the blue arrow pointing at?6.  Name a location of this tissue.