4 citations · 7 across the 11 of their papers we have counts for
5 papers · 1 filter
What Is Worth Representing? Representational Empowerment for Continual Model Construction
Fei Dai, Hanqi Zhou, Alison Gopnik +1
The first problem of modeling the world is not just estimating the right parameters or causal structure, but deciding what should be represented at all. We frame this problem as co…
Distilling a Modular Reservoir Through a Genomic Bottleneck
Mani Hamidi, Sina Khajehabdollahi, Charley M. Wu +1
The intricate structures of biological neural networks largely emerge during development, guided by a comparatively compressed blueprint encoded in the genome. The connectivity tha…
Path-dependent program induction under resource constraints explains human sequence learning
Hanqi Zhou, David G. Nagy, Peter Dayan +1
How do people build abstract, reusable knowledge from sequential experience under bounded cognitive resources? To answer this question, we integrate rate-distortion theory with rec…
Emergent social transmission of model-based representations without inference
Silja Keßler, Miriam Bautista-Salinero, Claudio Tennie +1
How do people acquire rich, flexible knowledge about their environment from others despite limited cognitive capacity? Humans are often thought to rely on computationally costly me…
Partially Observed Structural Causal Models
Turan Orujlu, Jordan Matelsky, Martin V. Butz +2
Here we introduce Partially Observed Structural Causal Models (POSCMs) as an extension of structural causal models (SCMs) to settings where upstream contexts co-determine both the…