4 citations · 7 across the 11 of their papers we have counts for
11 papers
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…
Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou, Fryderyk Mantiuk, David G. Nagy +1
The pursuit of general intelligence has traditionally centered on external objectives: an agent's control over its environments or mastery of specific tasks. This external focus, h…
Analogy making as amortised model construction
David G. Nagy, Tingke Shen, Hanqi Zhou +2
Humans flexibly construct internal models to navigate novel situations. To be useful, these internal models must be sufficiently faithful to the environment that resource-limited p…
From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration
Fryderyk Mantiuk, Hanqi Zhou, Charley M. Wu
What drives an agent to explore the world while also maintaining control over the environment? From a child at play to scientists in the lab, intelligent agents must balance curios…
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
Mani Hamidi, Sina Khajehabdollahi, Emmanouil Giannakakis +3
Structural modularity is a pervasive feature of biological neural networks, which have been linked to several functional and computational advantages. Yet, the use of modular archi…
Harmonizing Program Induction with Rate-Distortion Theory
Hanqi Zhou, David G. Nagy, Charley M. Wu
Many aspects of human learning have been proposed as a process of constructing mental programs: from acquiring symbolic number representations to intuitive theories about the world…
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley M. Wu +1
Intelligent tutoring systems optimize the selection and timing of learning materials to enhance understanding and long-term retention. This requires estimates of both the learner's…