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Formalizing Meaning and Knowledge for AGI Development

EasyChair Preprint no. 13552

13 pagesDate: June 5, 2024


Artificial General Intelligence (AGI) is different from specialized Artificial
Intelligence (AI) in that it can understand and work with meanings,
mimicking human mental processes. Existing AI platforms are not
aware of the significance of the things they interact with unlike deep chess
or facial recognition systems. They rely on statistical patterns instead
of semantic understanding and hence perform narrow tasks well rather
than grasping higher level concepts.A very essential task today is defining
meaning. Thus, this paper outlines a roadmap aimed at formalizing the
notions of knowledge and meaning in such a manner that may facilitate
their incorporation into AGI. Today’s definitions are not good enough because
they are not strict or machine-friendly. Consequently, we suggest a
systematic an(AP) approach which should be used to describe what we
mean with mondo e sense making (or rather enc “oding”), c term s that
will be introduced below.. The proposed approach aims to bridge the gap
between human cognitive capabilities and artificial systems, advancing the
field towards the realization of true AGI.

Keyphrases: AGI, existence, knowledge, meaning, perception

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Budee U Zaman},
  title = {Formalizing Meaning and Knowledge for AGI Development},
  howpublished = {EasyChair Preprint no. 13552},

  year = {EasyChair, 2024}}
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