Aptitude - Time And Work

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Mini-Max Algorithm in Artificial Intelligence

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Mini-Max Algorithm in Artificial Intelligence Mini-max algorithm is a recursive or backtracking algorithm which is used in decision-making and game theory. It provides an optimal move for the player assuming that opponent is also playing optimally. Mini-Max algorithm uses recursion to search through the game-tree. Min-Max algorithm is mostly used for game playing in AI. Such as Chess, Checkers, tic-tac-toe, go, and various tow-players game. This Algorithm computes the minimax decision for the current state. In this algorithm two players play the game, one is called MAX and other is called MIN. Both the players fight it as the opponent player gets the minimum benefit while they get the maximum benefit. Both Players of the game are opponent of each other, where MAX will select the maximized value and MIN will select the minimized value. The minimax algorithm performs a depth-first search algorithm for the exploration of the complete game tree. The minimax algorithm proceeds all the way d
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Alpha-Beta Pruning

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Alpha-Beta Pruning   Alpha-beta pruning is a modified version of the minimax algorithm. It is an optimization technique for the minimax algorithm. As we have seen in the minimax search algorithm that the number of game states it has to examine are exponential in depth of the tree. Since we cannot eliminate the exponent, but we can cut it to half. Hence there is a technique by which without checking each node of the game tree we can compute the correct minimax decision, and this technique is called pruning. This involves two threshold parameter Alpha and beta for future expansion, so it is called alpha-beta pruning. It is also called as Alpha-Beta Algorithm. Alpha-beta pruning can be applied at any depth of a tree, and sometimes it not only prune the tree leaves but also entire sub-tree. The two-parameter can be defined as: Alpha: The best (highest-value) choice we have found so far at any point along the path of Maximizer. The initial value of alpha is -∞. Beta: The best (lowest-value)
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Research Methodology Multiple Choice Questions

Research Methodology Multiple Choice Questions 1) Who was the author of the book named "Methods in Social Research"? Kerlinger CR Kothari Goode and Hatt Wilkinson  Answer: c) Goode and Halt Explanation: The book named "Methods in Social Research" was authored by Goode and Hatt on Dec 01, 1952, which was specifically aimed to improve student's knowledge as well as response skills. 2) What is the major attribute of Correlation Analysis? Association among variables Difference among variables Regression among variables Variations among variables  Answer: a) Association among variables Explanation: Mainly the correlational analysis focus on finding the association between one or more quantitative independent variables and one or more quantitative dependent variables. 3) What is the name of the conceptual framework in which the research is carried out? Research hypothesis Synopsis of Research Research paradigm Research design  Answer: d) Research design Explanation: A
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