{"id":17605,"date":"2024-04-15T05:15:32","date_gmt":"2024-04-15T05:15:32","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=17605"},"modified":"2024-04-15T05:15:32","modified_gmt":"2024-04-15T05:15:32","slug":"what-kind-of-environment-is-strategic-in-artificial-intelligence-a-deterministic-b-rational-c-partial-d-stochastic","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-kind-of-environment-is-strategic-in-artificial-intelligence-a-deterministic-b-rational-c-partial-d-stochastic\/","title":{"rendered":"What kind of environment is strategic in artificial intelligence? A. Deterministic B. Rational C. Partial D. Stochastic"},"content":{"rendered":"

[amp_mcq option1=”Deterministic” option2=”Rational” option3=”Partial” option4=”Stochastic” correct=”option4″]<\/p>\n

The correct answer is D. Stochastic.<\/p>\n

A stochastic environment is one in which the outcome of an action is not always certain. This is in contrast to a deterministic environment, in which the outcome of an action is always the same. In a stochastic environment, the outcome of an action may be affected by factors that are beyond the control of the agent, such as the actions of other agents or the environment itself.<\/p>\n

Stochastic environments are common in artificial intelligence, as they more accurately reflect the real world. In the real world, there are many factors that can affect the outcome of an action, and it is not always possible to predict with certainty what will happen. This makes it important for artificial intelligence agents to be able to deal with uncertainty and to make decisions that are robust to changes in the environment.<\/p>\n

The other options are incorrect for the following reasons:<\/p>\n