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- The central question of whether representational geometry implies corresponding computational structure
- The actual computational operations a model performs, which the paper argues need not mirror representational structure
- Chapter 2 of Volume 2 of The Nature of Order, introducing structure-preserving transformations as the mechanism by which living structure arises naturally through unfolding wholeness.
- Technique for modifying model knowledge or behavior via targeted interventions, e.g., ROME by Meng et al.
- Conventional programming constructs like variables, arrays; claimed unnecessary for Elephant programs.
- The definition of 'architecture' in computing as the structural design of systems, dating to 1960s mainframes, central to information architecture.
- Updating the structure of the generative model to better account for observations via Bayesian model reduction and expansion.
- Training data with inherent geometric or relational structure, which induces geometric organization in model internals.