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Grounding: Bridging the Gap Between Symbols and Reality
Grounding is essential for understanding language and its connection to real-world experiences, as current AI systems struggle to create accurate models of the world and often make errors due to a lack of real-world context. Historically, previous AI systems failed to link abstract symbols to tangible experiences, exemplified by the inability to associate concepts, such as 'a dog,' with real-life representations, which illustrates the grounding problem. The complexity of real-world interactions complicates the development of truly intelligent systems, highlighting the ongoing need for methods that can effectively integrate language and real-world understanding.