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ActPC-Chem: Discrete Active Predictive Coding for Goal-Guided Algorithmic Chemistry as a Potential Cognitive Kernel for Hyperon & PRIMUS-Based AGI

Author: Ben Goertzel
Year: 2024
Venue: arXiv:2412.16547
Links: arXiv abstract

Summary

A predictive-coding paper that rephrases cognitive process dynamics in algorithmic-chemistry terms. It treats discrete active predictive coding as a candidate kernel for Hyperon / PRIMUS-era cognition, emphasizing compositional interaction between processes rather than a monolithic optimizer.

Relevance to Hyperon

This paper is one of the cleanest links between predictive coding and the PRIMUS architecture. It is directly relevant to Algorithmic Chemistry, PRIMUS Full, and the broader predictive-coding line documented in Cognitive Synergy.

Key References

• RawData source
• Algorithmic Chemistry
• PRIMUS Full
• +Papers