Explain the following:i. A rational agentII. An omniscient agentiii. A Fully observable environmentiv. A stochastic environmentv. A sequential environment

i. A rational agent: A rational agent refers to an entity or system that is capable of making decisions and taking actions in order to achieve its goals or objectives. It is considered rational if it selects the best possible action based on the available information and its knowledge about the environment. The rational agent aims to maximize its expected utility or outcome.

II. An omniscient agent: An omniscient agent is an idealized concept that represents an entity or system with complete and perfect knowledge about its environment. It possesses all the necessary information and is aware of all the possible states, actions, and outcomes. An omniscient agent can make optimal decisions and always chooses the best action to achieve its goals.

iii. A fully observable environment: A fully observable environment is one in which the agent has access to complete and accurate information about the current state of the environment. The agent can directly perceive or observe all relevant aspects of the environment, including the current state and any changes that occur. In a fully observable environment, the agent can make informed decisions based on the available information.

iv. A stochastic environment: A stochastic environment is characterized by uncertainty and randomness. The outcomes of actions taken by the agent are not completely predictable and can vary probabilistically. In a stochastic environment, the agent cannot determine the exact consequences of its actions, but it can estimate the probabilities of different outcomes. The agent needs to consider the uncertainty and make decisions that maximize its expected utility or outcome.

v. A sequential environment: A sequential environment is one in which the actions of the agent have an impact on future states and outcomes. The environment evolves over time, and the agent's decisions are made in a sequence or series of steps. The agent needs to consider the current state, the possible actions, and the potential future states and outcomes when making decisions. In a sequential environment, the agent's actions can have long-term consequences, and it needs to plan and adapt its strategies accordingly.