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Comprehensive Guide to Probability, Search Algorithms, and Optimization Techniques

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Computer Science - Software Engineering

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user_kambeorv Created by 7 mon ago

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Cards in this deck(37)
What is the definition of conditional probability Pr(A | B)?
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How is the conditional probability Pr(A | B, C, ...) defined?
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Which search algorithm expands the node with the lowest path cost?
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What is a heuristic in the context of search algorithms?
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Which search algorithm expands the node with the lowest value at each step?
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What is the difference between A and A* search algorithms?
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What is an admissible heuristic?
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What is the difference between deterministic and stochastic processes?
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What is the difference between real-time and turn-based systems?
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What is the difference between continuous and discrete variables?
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What is the difference between full and partial information in games?
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Which algorithm is used to solve the 8 Puzzle problem?
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What is a Constraint Satisfaction Problem?
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What is the Minmax Search algorithm used for?
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What is a Zero-Sum Game?
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What is the Expectimax Search algorithm used for?
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What does 'Highest Effective Utility' refer to in decision-making?
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What is the Markov Property?
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What are the Axioms of Rationality?
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What is a Markov Decision Process?
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What are policies in decision-making?
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What are Local Search Algorithms?
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What is discounting and when would it help?
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What is utility in decision-making?
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What is Alpha-Beta Pruning?
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What is Reinforcement Learning?
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What is a Bayes Net?
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How does the dependence of nodes A, B, and C change if C is given?
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Given A and B are independent, what is P(A|B)?
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How can P(A|B) be expressed using Bayes Theorem?
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What is the formula for P(A) using the Law of Total Probability?
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What is the joint probability P(A, B) if A and B are independent?
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What is the Hill Climbing Search algorithm?
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What is Gradient Descent?
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What is Simulated Annealing?
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What is Particle Swarm Optimization?
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What is a Genetic Algorithm?
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