(10th-March-2021)
• Prior knowledge about the agent and the environment;
• History of interaction with the environment, which is composed of
• Observations of the current environment and
• Past experiences of previous actions and observations, or other data, from which it can learn;
• Goals that it must try to achieve or preferences over states of the world; and
• Abilities, which are the primitive actions it is capable of carrying out.
• Each agent has some internal state that can encode beliefs about its environment and itself.
• It may have goals to achieve, ways to act in the environment to achieve those goals, and various means to modify its beliefs by reasoning, perception, and learning.
• This is an all-encompassing view of intelligent agents varying in complexity from a simple thermostat, to a team of mobile robots, to a diagnostic advising system whose perceptions and actions are mediated by human beings, to society itself.
Significance of AI with Geosciences
• Artificial Intelligence (AI) is integrating with every sector and Geosciences can also take help from AI in solving the challenges ahead.
• The significance of AI and Geosciences can be realized from the fact that Total and Google join for the oil exploration work or the upstream of the oil sector.
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