Question: Given the search space on fig. 1 , where S is the initial state and G 1 and G 2 satisfy the goal test. Question

Given the search space on fig. 1, where S is the initial state and G1 and G2 satisfy the goal test. Question 1(points: UG [21]/ G [15]): For IDA* search of state space given on fig. 1 answer
the following questions
[5pts/3pts] The heuristic is admissible. Is it consistent?
[5pts/4pts] What states will be expanded during the first iteration of IDA* and in what
order?
[6pts/5pts] What is the value of expansion limit on the second iteration of IDA*
[5pts/3pts] Which goal will be discovered (i.e. expanded)? what is the contents of the frontier
at the time when goal is discovered? 1 ALWAYS TRUE, NEVER TRUE or SOMETIMES TRUE
Each question is 7 UG points/5 G points. You are not required to give explanation/intermediate
steps in this section, but if you are unsure of your answer, you can do so to get partial credit.
In A* with admissible heuristic, when a node with a goal state is expanded, AT NT STT
we have reached this state via the shortest possible path
Simulated Annealing doesn't make 'bad' moves (i.e. decreasing goal function) AT NT STT
unless at a local extremum.
If a state space is a finite tree then given an initial state and a set
of goals, DFS and BFS return the same goals (possibly none)
If a state space is a finite directed acyclic graph (DAG) and if the heuristic
is admissible, then at time of node expansion by A* it has already found
an optimal path to the state of the nodeFor Graduate Students
Question [20 points]: Generalize pacman game: There are initially k dots, at positions (f1,dotsfk)
on an rc board. There are also n pac-people; initially, all the pac-people start in the bottom left
corner of the maze. Consider a search problem in which all pac-people move simultaneously; that
is, in each step each pac-person moves into some adjacent position (N,S,E, or W). Note that any
number of Pac-People may occupy the same position.
[8pts] Define states in the state space (use tuple-of-formal-variables representation).
[5pts] Give a reasonable upper bound on the number of states in the state space
[7pts] What is the maximum branching factor of the successor function?
Figure 1: State space for search problems
Arcs are labeled with the cost of traversing them (so lower is better) and the estimated cost to a
goal (i.e. value of heuristic function) is reported inside nodes.
Given the search space on fig. 1 , where S is the

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