This preview shows page 1. Sign up to view the full content.
Unformatted text preview: of BFS
n༆ n༆ Completeness:
q༇ YES
Time complexity:
q༇ Assume a state space where every state has b successors.
n༆ Assume solution is at depth d
n༆ Worst case: expand all but the last node at depth d
n༆ Total number of nodes expanded: b + b 2 + b 3 + ... + b d + (b d +1 − b) = O(b d +1 ) € 5 9/20/13 Evaluation of BFS
n༆ n༆ Uninformed Search Completeness:
Time complexity: q༇ q༇ YES
Total number of nodes expanded: b + b 2 + b 3 + ... + b d + (b d +1 − b) = O(b d +1 )
n༆ Space complexity:
q༇ Lecture 10: 9/20/13 Same, if each node is retained in memory € Evaluation of BFS
n༆ Completeness:
q༇ n༆ YES Time complexity:
q༇ Space complexity:
q༇ n༆ € Same, if each node is retained in memory Optimality:
q༇ n༆
n༆ Memory requirements are a bigger problem than its execution time.
Exponential complexity search problems cannot be solved by
uninformed search methods for any but the s...
View Full
Document
 Fall '08
 Staff
 Artificial Intelligence

Click to edit the document details