Speaker: Ms. Naheon Lee

Title: Social Dilemmas and Cooperative Chasing Strategies in Two-Dimensional Space

Affiliation: Department of Physics, Sejong University, Seoul, South Korea

Hosted by Dieckmann Unit

Venue: L4E48

*Zoom is available: https://oist.zoom.us/j/91984245208?pwd=Yb5Qkfc9kQD4hV4dRQugaOD8RrYRa2.1

Abstract:

In this talk, we explore two models of chasing strategies in a two-dimensional continuum. The first model contrasts a Direct Chasing Strategy (DCS) and a Group Chasing Strategy (GCS). DCS involves individual chasers moving directly toward the nearest prey, while GCS is a cooperative strategy where chasers sacrifice individual speed to benefit the group. We demonstrate a social dilemma, where DCS is individually optimal, but GCS leads to higher group efficiency. Through numerical simulations, we show that cooperative strategies can emerge through learning processes. In the second model, we implement chasing strategies via neural networks and observe the natural emergence of group chasing strategies. Preliminary analysis reveals that many neural network strategies also exhibit social dilemmas, and we present ongoing work on the evolution of these strategies.

Biosketch:

Nahyeon Lee is a Ph.D. student in the Department of Physics at Sejong University, Seoul, Korea, where she is advised by Professor Hyeong-Chai Jeong. She received her B.S. in Physics and Astronomy from Sejong University in 2020. Her research interests include game theory, cooperation dynamics, agent-based models, and network science. Nahyeon has co-authored several publications, including papers on assortative clustering and the evolution of cooperation, published in Physical Review E and Scientific Reports. She has presented her work at international conferences such as Statphys28 and CoPhEE2023. Nahyeon’s recent work focuses on the emergence of cooperative strategies in predator-prey systems, the application of neural networks to model predator behavior, and the analysis of Netflix ranking data to study global media consumption patterns.