dynamic binding for class-based inheritance using σ and τ

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Class-based inheritanceconcept0.772
• Strong τ-Abstractionconcept0.738
  Notion where all interventions on algorithm A are allowed; gives equivalence between algorithm and DNN
• Parameters did not change; the binding did.quote0.709
  Emphasizes that anchoring is a binding process without weight updates.
• whether many (maybe even all) useful organisations of information and behaviour in a dynamic language might be constructed from a single primitive operation: n-way associative lookupquestion0.704
  The central research question explored, by way of examples, throughout the paper.
• Software implementations for all of the models/behaviours presented are common for n = 2, and can be made very efficient for α_i that map many objects onto a much smaller set of object families.claim0.700
  Claim about current practical feasibility and efficiency of 2-way associative implementations.
• If a semantic function is a homomorphism with respect to a type class, the implemented instance automatically satisfies the class laws.hypothesis0.699
  Core hypothesis enabling 'laws for free': denotational semantics guarantee algebraic law satisfaction.
• Simple experiments with an in-memory Sqlite database suggest dynamic binding operations take several orders of magnitude longer than a dedicated language runtime support library.finding0.696
  Empirical observation that a relational engine is too slow for associative lookup, motivating specialized implementation.
• Learning to encode position for transformer with continuous dynamical model (Liu et al., 2020)concept0.694
  Prior work on learned dynamic position encodings; cited alongside Wang et al. as precedent.