Max
... Unlike binary trees can have any number of children – Depends on the game situation Levels usually called plies (a ply is one level) – Each ply is where "turn" switches to other player Players called Min and Max (next) ...
... Unlike binary trees can have any number of children – Depends on the game situation Levels usually called plies (a ply is one level) – Each ply is where "turn" switches to other player Players called Min and Max (next) ...
Norges teknisk-naturvitenskapelige universitet
... goal states. Each node is market (in parenthesis behind its letter) with the value of its heuristic evaluation function. For example: G (20). ...
... goal states. Each node is market (in parenthesis behind its letter) with the value of its heuristic evaluation function. For example: G (20). ...
Df-pn - Imai Laboratory
... Df-pn (Depth First Proof Number Search) PNS (Proof Number Search) [1] is a strong algorithm for AND/OR tree search Proof number : The lower bound of the number of nodes which is needed to be proved in order to prove (attacker’s WIN) Attacker expands from the node with the smallest proof number In ot ...
... Df-pn (Depth First Proof Number Search) PNS (Proof Number Search) [1] is a strong algorithm for AND/OR tree search Proof number : The lower bound of the number of nodes which is needed to be proved in order to prove (attacker’s WIN) Attacker expands from the node with the smallest proof number In ot ...
Expected Value
... • Let’s say we play our favorite number, 7. • We place a $1 chip on 7. If the ball lands in the 7 slot we win $35 (net winnings). If the ball lands on any other number we lose our $1 chip. • What is the expectation of this bet? • To answer this question we need to know the probability of winning and ...
... • Let’s say we play our favorite number, 7. • We place a $1 chip on 7. If the ball lands in the 7 slot we win $35 (net winnings). If the ball lands on any other number we lose our $1 chip. • What is the expectation of this bet? • To answer this question we need to know the probability of winning and ...
On a random walk strategy for the Q2SAT problem
... Prerequisites for flipping to work 1. A literal must be flippable, i.e., there are exactly 2 values to assign to it. (Y1) 2. When a literal is flipped with probability at least one half, we move in the right direction, and with probability at most one half, we move in the wrong direction. (Y2) ...
... Prerequisites for flipping to work 1. A literal must be flippable, i.e., there are exactly 2 values to assign to it. (Y1) 2. When a literal is flipped with probability at least one half, we move in the right direction, and with probability at most one half, we move in the wrong direction. (Y2) ...
Association Rule Mining in Peer-to
... include X in the local database Su: the number of these transactions include both X and Y λ: MinConf Thus the result will decide whether a rule X→Y is confident or not. ...
... include X in the local database Su: the number of these transactions include both X and Y λ: MinConf Thus the result will decide whether a rule X→Y is confident or not. ...
Algorithmic Applications of Game Theory
... Well, only in theory Think about chess A strategy is what I will do in every board situation Given white’s strategy and black’s strategy, the result is either white wins, black wins or tie • So in theory (and also in game theory), the game is “not interesting” and white will play a strategy which wi ...
... Well, only in theory Think about chess A strategy is what I will do in every board situation Given white’s strategy and black’s strategy, the result is either white wins, black wins or tie • So in theory (and also in game theory), the game is “not interesting” and white will play a strategy which wi ...