A genetic algorithm solution to a problem contains a fitness function to determine the strength of an organism and its suitability for mating. True False
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- Computer Science Using computers and other automated tools to grade true-false and multiple-choice tests is widespread, but grading essays has been reserved for instructors. Until now. Software developed by a nonprofit enterprise founded by Harvard and MIT recently released software that can grade student essays and short written answers. Students answer online instead of in a blue book and immediately receive their grade after clicking a Send button. The software uses artificial intelligence (it initially “learns” how to grade an instructor’s test by reviewing 100 essay exams that the instructor scored) and is designed to free up professors for other tasks, as well as give students the opportunity to immediately revise their graded essays for an improved grade. But does the system work? Are the automated grades similar to what a human grader would award? Skeptics (including the National Council of Teachers of English) say no. Objections include a lack of tests to support the validity…Briefly explain the roulette wheel scheme’s major shortcoming in genetic algorithms.One of the strengths of Genetic Algorithms is that they allow us to do controlled searches to find answers to our problems. True False
- The maximum of N admissible heuristics is ?(regards to artificial intelligence)It is important to make use of algorithms in the process of discovering answers to problems because, despite the fact that we may not completely grasp them, algorithms are effective because they are what?The basic functions of a genetic algorithm are:
- The following is a collection of current research publications that make use of techniques associated with machine learning.Briefly explain the function of Turing test in the development and advancement of robots in the AI domain.SUBJECT: ARTIFICIAL INTELLIGENCE Write and implement the best first search algorithm where we have given the Start state and Goal state and we want to reach the goal state. 4 7 3 1 8 2 5 6 Initial state 1 2 3 8 4 7 6 5 Goal state
- It would be better to use a heuristic, rather than an algorithm, to solve a problem: when there are an infinite number of possible solutions when it is necessary to produce an answer that is extremely precise when there are no time constraints for finding a solution to the problem when the problem involves mathematical calculationsSelect ALL the statements that are true from the list below related to randomized algorithms: 1.Some randomized algorithms that follow the Monte Carlo pattern are efficient but may not produce the correct output. 2.Some randomized algorithms that follow the Monte Carlo pattern produce the correct output but their efficiency is not guaranteed. 3.In a randomized algorithm, the order of statements being executed is at random or, in other words, the statements are executed at random. 4.Some randomized algorithms that follow the Las Vegas pattern are efficient but may not produce the correct output. 5.Some randomized algorithms that follow the Las Vegas pattern produce the correct output but their efficiency is not guaranteed. 6.All randomized algorithms have at least one random choice among their statementsArtificial Intelligence is defined as: All of the options Machine learning. Machines that's functions are limited to use of memory according to specific algorithms. Machines that try to imitate human intuition by analyzing the environment.
