Biography
Samuel Wiese is a DPhil student at the Department of Computer Science and a member of the INET Complexity Economics group, supervised by Anisoara Calinescu and J. Doyne Farmer. Before starting his DPhil, he completed a Diploma in Mathematics at the University of Leipzig (Germany), was a Research Assistant at Cornell University (USA) and a Visiting Student at the Chebyshev Laboratory at St. Petersburg State University.
He is interested in game theory, networks, and agent-based modelling.
Recent Publications
Sept 2024
No. 2024-06 - Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model
Samuel Wiese , Jagoda Kaszowska-Mojsa , Joel Dyer , Jose Moran , Marco Pangallo , François Lafond , John Muellbauer , Anisoara Calinescu , J. Doyne Farmer
Samuel Wiese , Jagoda Kaszowska-Mojsa , Joel Dyer , Jose Moran , Marco Pangallo , François Lafond , John Muellbauer , Anisoara Calinescu , J. Doyne Farmer
Jun 2023
Best-response dynamics, playing sequences, and convergence to equilibrium in random games
in International Journal of Game Theory
Torsten Heinrich , Yoojin Yang , Luca Mungo , Marco Pangallo , Alex Scott , Bassel Tarbush , Samuel Wiese
in International Journal of Game Theory
Torsten Heinrich , Yoojin Yang , Luca Mungo , Marco Pangallo , Alex Scott , Bassel Tarbush , Samuel Wiese
Oct 2021
The Frequency of Convergent Games under Best-Response Dynamics
in Dynamic Games and Applications
Samuel C. Wiese , Torsten Heinrich
in Dynamic Games and Applications
Samuel C. Wiese , Torsten Heinrich
Nov 2020
No. 2020-24 - The Frequency of Convergent Games under Best-Response Dynamics
Samuel C. Wiese , Torsten Heinrich
Samuel C. Wiese , Torsten Heinrich
