3.2 Minimax The first zero-sum-game algorithm we will consider is minimax, which runs under the motivating assumption that the opponent we face behaves optimally, and will always perform the …

Hence, the space complexity of DFS is \ (O (bm)\). 1.3.2 Breadth-First Search Description - Breadth-first search is a strategy for exploration that always selects the shallowest frontier node from the start …

In a general CSP with n variables, each taking d possible values, what is the worst case time complexity of enforcing arc consistency using the AC-3 method discussed in class?

For a propositional logical system, if there are \ (N\) symbols, there are \ (2^N\) models to check, and hence the time complexity of this algorithm is \ (O (2^N)\), while in first-order logic, the number of …

Introduction to Artificial Intelligence Note 3 These lecture notes are heavily based on notes originally written by Nikhil Sharma.

XT Viterbi Algorithm (max) For the m1:t+1 = each state at time t, keep track of

Start state and goal test Search tree: Nodes: represent plans for reaching states Plans have costs (sum of action costs) Search algorithm: Systematically builds a search tree Chooses an ordering of the …

Take an assignment with unsatisfied constraints rators reassign v No fringe! Live on the edge. Algorithm: While not solved, Variable selection: randomly select any conflicted variable Value selection: min …

Suppose that we were running local search with the min-conflicts algorithm for this CSP, and currently have the following variable assignments.

This property also applies to probabilistic reasoning (later): an example of the relation between syntactic restrictions and the complexity of reasoning