TransWeave
Responsible: Ben Goertzel
Papers: Hyperon for AGI⇒ASI Whitepaper (2025), §5.8
Status: Proposed. Theoretical framework for cross-paradigm knowledge transfer described in the 2025 whitepaper. Not yet implemented.
TransWeave proposes an algebraic framework for transferring and composing knowledge across different cognitive paradigms — neural, logical, evolutionary, and program compression — with controlled order sensitivity and formal guarantees.
The Problem
In a multi-paradigm cognitive system like PRIMUS, different learning algorithms produce different kinds of knowledge. The challenge is transferring insights from one paradigm to another without corruption or destabilization. Naive approaches fail because the order of operations matters: learning then transferring can produce different results than transferring then learning.
The TransWeave Proposal
TransWeave proposes establishing that cognitive steps across paradigms "almost commute": learn→transfer ≈ transfer→learn, with bounded order effects. The framework views diverse cognitive algorithms as approximate stochastic dynamic programming and guides their interoperation accordingly. Key proposed properties:
- Weakness gates: Transfer filtered through weakness metrics, preventing overfitting during cross-domain transfer.
- Certificate preservation: SubRep certificates would be maintained during transfer, preserving formal guarantees across paradigm boundaries.
- Commutativity bounds: The algebraic framework would quantify how much order matters for each transfer operation.
Intended Integration with PRIMUS
The whitepaper describes TransWeave operating across both PRIMUS loops: in the goal-directed loop, determining what existing knowledge can be reused; in the ambient loop, transferring background discoveries across paradigms. The whitepaper gives examples such as patterns discovered by WILLIAM informing other cognitive processes, and attention flow patterns transferring to new contexts.
Technical Deep Dive: TransWeave Full — intertwining maps, value suboptimality bounds, H-ICA impossibility results, braid/Yang-Baxter composition, and weakness multiplicativity.
Key References
- Goertzel, B. (2025). Hyperon for AGI⇒ASI Whitepaper, §5.8: TransWeave
- TransWeave is also discussed as a cross-stack mechanism: Cross-Stack Research Directions
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