A conceptual framework attributing counter-inferential rigidity in natural and artificial cognitive systems to an imbalance between stability and adaptability rewards.
A case for cognitive entrenchment: To achieve optimal best, taking into account the importance of perceived optimal efficiency and cognitive load imposition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Counter-Inferential Behavior in Natural and Artificial Cognitive Systems
A conceptual framework attributing counter-inferential rigidity in natural and artificial cognitive systems to an imbalance between stability and adaptability rewards.