Ontology and Agents
Formal semantics and document navigation, with evidence from agent-assisted ontology engineering.
Formal semantics and document navigation, with evidence from agent-assisted ontology engineering.
Probability outputs, calibration, decision losses, and the open Kev implementation.
Sparse document attention and supervised ranking without autoregressive decoding.
Associative memory, optimizer states, and coupled learning across timescales.
Bottlenecks, memory traffic, allocation, and concurrency in C++ performance work.
Inverse probabilities, query semantics, and finite-sample uncertainty.
Temporal state, negative sampling, and ranking evaluation.
Fine-tuning readers on relevant evidence and distractor documents.