Metacognitive AI: Framework and the Case for a Neurosymbolic Approach

Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce Draper, Nikhil Krishnaswamy +1 more
6/17/2024
cs.AI

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Abstract

Metacognition is the concept of reasoning about an agent's own internal processes and was originally introduced in the field of developmental psychology. In this position paper, we examine the concept of applying metacognition to artificial intelligence. We introduce a framework for understanding metacognitive artificial intelligence (AI) that we call TRAP: transparency, reasoning, adaptation, and perception. We discuss each of these aspects in-turn and explore how neurosymbolic AI (NSAI) can be leveraged to address challenges of metacognition.

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Cite this paper

@article{wei2024metacognitive,
  title  = {Metacognitive AI: Framework and the Case for a Neurosymbolic Approach},
  author = {Hua Wei and Paulo Shakarian and Christian Lebiere and Bruce Draper and Nikhil Krishnaswamy and Sergei Nirenburg},
  year   = {2024},
  eprint = {2406.12147},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.12147v1}
}

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