The causal structure and computational value of narratives

J Chen, AM Bornstein - Trends in Cognitive Sciences, 2024 - cell.com
Many human behavioral and brain imaging studies have used narratively structured stimuli
(eg, written, audio, or audiovisual stories) to better emulate real-world experience in the …

From trip** and falling to ruminating and worrying: a meta-control account of repetitive negative thinking

PF Hitchcock, MJ Frank - Current Opinion in Behavioral Sciences, 2024 - Elsevier
Highlights•Rumination and worry overlap, yet what computations they share is unclear.•We
propose a four-stage meta-control theory based in computational cognitive neuroscience.• …

[PDF][PDF] Unraveling repetitive negative thinking with reinforcement learning

RL Bedder, PF Hitchcock, PB Sharp - 2024 - osf.io
Recent advances in the computational dynamics of planning and state inference from the
interdisciplinary field of reinforcement learning offer rich opportunities for insights into …

[PDF][PDF] Working Memory and Reinforcement Learning Interactions when Simultaneously Pursuing Reward and Avoiding Punishment: No Relationship to Internalizing …

P Hitchcock, J Kim, M Frank - osf.io
Humans learn adaptive behaviors via a durable but incremental reinforcement-learning (RL)
system and a fast but fleeting working memory (WM) system. Past work parsing these …

[PDF][PDF] Repetitive Negative Thinking Naturally Emerges in a Model that Learns to Gate Affective Content into Working Memory

P Hitchcock - osf.io
Why do we sometimes fall into repetitive negative thinking (RNT) patterns, such as
rumination and worry? To address this question, I trained a meta-control model (Todd et al …

The Valuationist Model of Human Agent Architecture

C Sripada - philpapers.org
In computational cognitive science, a valuationist picture of human agent architecture has
become widespread. At the heart of valuationism is a simple and swee** claim: Every time …