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Heuristic (Informed) Search (Where we try to be smarter in how we choose among alternatives) R&N III: Chapter 3.5 R&N II: Chap. 4, Sect. 4.1–3. Search Algorithm. INSERT( initial-node,FRINGE) Repeat: If empty(FRINGE) then return failure n REMOVE(FRINGE) s STATE( n )

Search Algorithm. If GOAL?(initial-state) then return initial-state INSERT( initial-node,FRINGE) Repeat: If FRINGE is empty then return failure n REMOVE(FRINGE) s STATE( n ) For every state s’ in SUCCESSORS( s ) Create a node n’ If GOAL?( s’ ) then return path or goal state

Heuristic (Informed) Search (Where we try to be smarter in how we choose among alternatives) R&N III: Chapter 3.5 R&N II: Chap. 4, Sect. 4.1–3. Search Algorithm. INSERT( initial-node,FRINGE) Repeat: If empty(FRINGE) then return failure n REMOVE(FRINGE) s STATE( n )

Minimax search algorithm For now, we assume that exhaustive search is possible. Generate the entire game tree. Assume it has depth d . For each terminal state, apply the payoff function to get its score.

A* Search Algorithm. -- Yinfei Yang. What is A* Search Algorithm How A* Algorithm works The A* algorithm in our project. What is A* Search Algorithm. What is A* search algorithm. Description:

Parallel Search Algorithm. By: Mehdi Amini. Spring 2012. Isfahan University Of Technology. OutLine :. Type Of Search Algorithms Searching in Artificial Intelligence Sequential Depth First Search Sequential Best First Search Parallel Depth First Search Parallel Best First Search

Skip Search algorithm. Very Fast String Matching Algorithm for Small Alphabets and Long Patterns, Christian, C., Thierry, L. and Joseph, D.P., Lecture Notes in Computer Science, Vol. 1448, 1998, pp. 55-64. Advisor: Prof. R. C. T. Lee Speaker: T. H. Ku.

Quick Search Algorithm. A very fast substring search algorithm, SUNDAY D.M., Communications of the ACM . 33(8),1990, pp. 132-142. Adviser: R. C. T. Lee Speaker: C. W. Cheng National Chi Nan University. Problem Definition.

’s Search Algorithm. Internet circa 1994. Problem #1 Internet small but growing, and already too much information to know where to go Solution #1 Centralized list of popular, high-quality websites by subject => Yahoo.com! Weaknesses of Solution #1 Subjective Expensive to build and maintain