kearney2019making: Making Meaning: Semiotics Within Predictive Knowledge Architectures

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tags
Semiotic, Philosophy, Reinforcement Learning, Predictive Knowledge

source :

authors
Kearney, A., & Oxton, O.
year
2019

This paper uses Peirce Semiotics to analyze Predictive Knowledge as a Semiotic. Specifically, they analyze a particular form of Predictive Knowledge introduced by (White 2015) in which GVFs are the primary prediction mechanism.

They note that the Predictive Knowledge framework has two of three necessary components of the Peirce Semiotic. Specifically,

  • Sensation: relates to the initial observation of the agent. Specifically in the observation vector which is constructed by the environment.
  • Perception: relating to the value estimates.

They found Generality to be lacking, and ponder on this through the rest of the paper. To me, generality doesn’t come from one particular sign or representation, but instead is an instance of combining several signs together to infer the object.

References

White, Adam. 2015. “Developing a Predictive Approach to Knowledge.” University of Alberta.