method
active
method:attribute-explorationAttribute Exploration
Interactive algorithm for discovering complete implicational knowledge by computing stem base and seeking counterexamples.
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Stem Baseassociated_withimplementsCanonical minimal generating set for the implicational theory of a formal context; sound, complete, and of minimal cardinality.
Questions (2)
question
- Central open question in evolutionary tree analysis: find axioms describing versus-relations derived from trees.
- Central question motivating attribute exploration.
Artifacts (1)
artifact
- Slide deck tutorial on Formal Concept Analysis by Bernhard Ganter presented at Dresden ICCL Summer School, June/July 2006.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Generalization of attribute exploration to FOL rules via factoring modulo context automorphisms.
- Bayes-optimal exploration driven by uncertainty minimization; natural behavior in active inference without handcrafted mechanisms.
- Organization that created the Theory of Loose Parts V2.0 compilation for Playvolution HQ.
- The property of the pain-belief signal that adapts to environmental changes rather than providing a fixed exploration bonus
- The active sampling of observations to maximize information gain and resolve uncertainty about the environment.
- The balance between gathering new information (exploration) and using existing knowledge to obtain rewards (exploitation).
- A heuristic exploration strategy that selects a random action with probability epsilon, otherwise acts greedily.
- The capability to explain model predictions; a central theme of the paper, with disruption profiles as vehicle.