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Formalizing Meaning and Knowledge for AGI Development
  • Budee U Zaman
Budee U Zaman

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Abstract

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.
04 Jun 2024Submitted to TechRxiv
07 Jun 2024Published in TechRxiv