Explanation: stochastic beam search, analogous to stochastic hill climbing, helps to alleviate this problem. Instead of choosing the best k from the pool of candidate successors, stochastic beam search chooses k successors at random, with the probability of choosing a given successor being an increasing function of its value. 2. Mark two main features of Genetic Algorithm
A. Fitness function
B. Cross-over techniques
C. Individuals among the population
D. Random mutation
Answer:A
Explanation: stochastic beam search, analogous to stochastic hill climbing, helps to alleviate this problem. Instead of choosing the best k from the pool of candidate successors, stochastic beam search chooses k successors at random, with the probability of choosing a given successor being an increasing function of its value. 2. Mark two main features of Genetic Algorithm
A. Fitness function B. Cross-over techniques C. Individuals among the population D. Random mutation
Explanation: Fitness function helps choosing individuals from the population and Cross-over techniques defines the off-spring generated. 3. Which search agent operates by interleaving computation and action?