3 papers
q-bio.NC2026
Cognitive Dark Matter: Measuring What AI Misses
Patrick J. Mineault, Thomas L. Griffiths, Sean Escola
We propose that the jagged intelligence landscape of modern AI systems arises from a missing training signal that we call ``cognitive dark matter'' (CDM): brain functions that mean…
q-bio.NC2023
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
Qihong Lu, Tan T. Nguyen, Qiong Zhang +5
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. Howev…
cs.AI2023
Exploring the hierarchical structure of human plans via program generation
Carlos G. Correa, Sophia Sanborn, Mark K. Ho +3
Human behavior is often assumed to be hierarchically structured, made up of abstract actions that can be decomposed into concrete actions. However, behavior is typically measured a…