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. where is the initial state and and satisfy the goal test. Question points: UG G : For IDA search of state space given on fig. answer
the following questions
ptspts The heuristic is admissible. Is it consistent?
ptspts What states will be expanded during the first iteration of IDA and in what
order?
ptspts What is the value of expansion limit on the second iteration of IDA
ptspts Which goal will be discovered ie expanded what is the contents of the frontier
at the time when goal is discovered? ALWAYS TRUE, NEVER TRUE or SOMETIMES TRUE
Each question is UG points G points. You are not required to give explanationintermediate
steps in this section, but if you are unsure of your answer, you can do so to get partial credit.
In 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 ie 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 it has already found
an optimal path to the state of the nodeFor Graduate Students
Question points: Generalize pacman game: There are initially dots, at positions
on an board. There are also pacpeople; initially, all the pacpeople start in the bottom left
corner of the maze. Consider a search problem in which all pacpeople move simultaneously; that
is in each step each pacperson moves into some adjacent position or W Note that any
number of PacPeople may occupy the same position.
pts Define states in the state space use tupleofformalvariables representation
pts Give a reasonable upper bound on the number of states in the state space
pts What is the maximum branching factor of the successor function?
Figure : 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 ie value of heuristic function is reported inside nodes.
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