An introduction to ABED: Agent-based simulation of evolutionary game dynamics

• 成果类型: Article
• 署名作者: Izquierdo, Luis R.; Izquierdo, Segismundo S.; Sandholm, William H.
• 署名单位: Universidad de Burgos; Universidad de Valladolid; University of Wisconsin System; University of Wisconsin Madison
• 刊物名称: GAMES AND ECONOMIC BEHAVIOR
• ISSN/ISSBN: 0899-8256
• DOI: 10.1016/j.geb.2019.09.014
• 发表日期: 2019
• 页码: 434-462
• 关键词: Evolutionary game theory; Agent-based simulations; Population dynamics

摘要

ABED is free and open-source software for simulating evolutionary game dynamics in finite populations. We explain how ABED can be used to simulate a wide range of dynamics considered in the literature and many novel dynamics. In doing so, we introduce a general model of revisions for dynamic evolutionary models, one that decomposes strategy updates into selection of candidate strategies, payoff determination, and choice among candidates. Using examples, we explore ways in which simulations can complement theory in increasing our understanding of strategic interactions in finite populations. (C) 2019 Elsevier Inc. All rights reserved.