AI & Behavioral Decision Modeling
Articles on the intersection of Large Language Models, behavioral mathematics, and computational analysis of human decision-making patterns in text data, including cognitive bias detection, preference inference, and behavioral forecasting at scale.
Why We Double Down: The Psychology of Sticking With Bad Decisions
We've all been there — staying in a dead-end job, finishing a terrible book, or clinging to a failing plan. The sunk cost fallacy explains why past investments hijack our future choices, and how recognizing the bias can set us free.
The Reassurance Loop: How AI Chatbots Fuel Compulsive Health OCD
An in-depth look at how the always-available, frictionless nature of conversational AI chatbots acts as an amplifier for health anxiety and OCD compulsions, and how clinicians can address it.
The Hidden Knowledge: Why Some Memories Are Yours, But Silent
Examines the cognitive reality behind 'knowing without knowing' and why distinguishing this from deliberate deception remains an elusive forensic challenge.
Beyond Screen Time: Rethinking How Digital Habits Reshape Our Value of Effort
Moving beyond polarized debates about "digital addiction," a new value-based choice framework explores how algorithmic rewards recalibrate our brain's internal calculation of effort. The research suggests that rather than a decline in cognitive capacity, our decision-making systems are being trained to undervalue the effort required for deep, sustained mastery.
When Your Mind Rewrites the Rules: How LLMs Prove Decisions Are Shaped by Problems, Not Personality
A PNAS study pairs fine-tuned large language models with behavioral choice mathematics to decode thousands of free-text decision justifications, showing that LLM-identified reasoning aligns with actual choices 95% of the time and that people's decision strategies dynamically shift based on how a problem is framed rather than fixed personality traits.