Best Effort Computing

Ackley's concept of computing systems that dynamically compensate for indeterministic substrates, analogous to biological control structures

Neighborhood — ranked by edge-count

thinker

Dave Ackley
introduces
Computer scientist exploring best effort computing as analogue of biological self-organization

concept

Self-Organizing System
associated_with
Systems whose structure emerges from internal communication patterns rather than external design; the paper proposes consciousness as arising in such systems

cosine ≥ 0.65 · no typed edge

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

attention computationconcept0.777
Process using Q, K, V to compute a heat map over K and weighted sum of V.
Deep Optimizationframework0.738
Task Difficultyconcept0.734
The paper identifies task difficulty as a key moderator: easy MMLU questions show performative CoT, hard GPQA-Diamond questions show genuine reasoning
Edge Computingconcept0.731
Resource-constrained deployment context where DLGN's binary efficiency is particularly valuable
Memo Triesconcept0.730
Data structure generalizing Pair and Stream via indexable containers; demonstrates denotational design on memo structures
Error minimizationconcept0.726
The progressive reduction of error (stress) as cells move toward their target positions.
Adaptive Computationconcept0.726
The broader goal of dynamically allocating computation based on task difficulty, enabled by probe-guided early exit
Evolutionary Computationframework0.725