Showing q-bio.NCShow all
3 papers · 1 filter
q-bio.NC2026
Including the Cost of Irreducible Uncertainty in the Policy Compression Framework
Álvaro Garrido-Pérez, Pieter Simoens, Amrapali Pednekar +1
AI decision-support systems can benefit from anticipating biases in human decision-making. Many such biases may arise from human cognitive limitations. The policy compression frame…
q-bio.NC2025
Cognitive Effort in the Two-Step Task: An Active Inference Drift-Diffusion Model Approach
Alvaro Garrido Perez, Viktor Lemoine, Amrapali Pednekar +2
High-level theories rooted in the Bayesian Brain Hypothesis often frame cognitive effort as the cost of resolving the conflict between habits and optimal policies. In parallel, evi…
q-bio.NC2025
Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
Amrapali Pednekar, Alvaro Garrido, Pieter Simoens +1
Drawing parallels between Deep Artificial Neural Networks (DNNs) and biological systems can aid in understanding complex biological mechanisms that are difficult to disentangle. Te…