How Recommendation Algorithms Shape Our Habits—and What You Can Do About It

The article examines how recommendation algorithms reinforce user preferences, turning habits into stable feedback loops, and proposes mathematical models and practical strategies to introduce diversity and break behavioral fixation in the age of algorithmic personalization.

DiversityReinforcement Learningbehavioral modeling

0 likes · 7 min read

How Recommendation Algorithms Shape Our Habits—and What You Can Do About It

Model Perspective

Sep 27, 2024 · Artificial Intelligence

Modeling Everyday Learning: From Reinforcement to Social Learning

The article explores how everyday decision‑making can be modeled using reinforcement learning and social learning frameworks, illustrating their strengths, limitations, and combined insights for understanding individual and collective behavior.

Reinforcement Learningaibehavioral modeling

0 likes · 8 min read

Modeling Everyday Learning: From Reinforcement to Social Learning

Model Perspective

May 24, 2024 · Fundamentals

Why Some Embrace Masks and Others Reject Them: An EPPM-Based Mathematical Model

This article explores how the Extended Parallel Processing Model (EPPM) explains differing mask‑wearing behaviors during the COVID‑19 pandemic, presents a simple mathematical model quantifying threat and efficacy perceptions, and derives practical public‑health insights from the analysis.

Extended Parallel Process ModelPandemic Responsebehavioral modeling

0 likes · 7 min read

Why Some Embrace Masks and Others Reject Them: An EPPM-Based Mathematical Model