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Artificial intelligence, situated approach
In artificial intelligence research, the situated approach builds agents that are designed to behave effectively successfully in their environment. This requires designing AI "from the bottom-up" by focussing on the basic perceptual and motor skills required to survive. The situated approach gives a much lower priority to abstract reasoning or problem-solving skills.
The approach was originally proposed as an alternative to traditional approaches (that is, approaches popular before 1985 or so).
After several dec fact, classical AI technologies face intractable issues, such as combination explosion, when confronted with real-world modeling problems, and several directions have been explored by researchers to address these issues. All these approaches focus on modeling intelligence situated in a given environment: they have come to be known as the situated approach to AI.
==Emergence of a concept==
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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