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Understanding Is a Process
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DOI：10.3389/fnsys.2022.800280.png)
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Abstract
En 中文
How do we gauge understanding? Tests of understanding, such as Turing's imitation game, are numerous; yet, attempts to achieve a state of understanding are not satisfactory assessments. Intelligent agents designed to pass one test of understanding often fall short of others. Rather than approaching understanding as a system state, in this paper, we argue that understanding is a process that changes over time and experience. The only window into the process is through the lens of natural language. Usefully, failures of understanding reveal breakdowns in the process. We propose a set of natural language-based probes that can be used to map the degree of understanding a human or intelligent system has achieved through combinations of successes and failures.
Keywords:
mutual understanding
common ground
behavioral measurement
human-machine teaming
human-robot interaction
natural language processing
explainable AI
mental models
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