A Human Experiment Using a Hybrid Agent-Based Model

Andrew J. Collins, Sheida Etemadidavan, Pilar Pazos Lago
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引用次数: 3

Abstract

Agent-based modeling (ABM) provides a means to investigate the emergent phenomenon generated from interacting autonomous agents. However, there are some concerns with this modeling approach. One concern is how to integrate strategic group formation, into ABM, without imposing macro-level aggregation rules. Another concern is whether the computerized agents’ behavior is reflective of actual human behavior. Collins and Frydenlund developed a hybrid modeling approach to address the first concern in 2018. The focus of our paper is on the second concern, in the context of the hybrid model. An experiment was conducted to help determine whether a person’s experiences affect their behavior and whether their behavior is similar to those generated by the hybrid model. The experimental results confirmed these two assertions. Our experiment used a standard cooperative game-theoretic game, called the glove game, as its base scenario.
基于混合主体模型的人体实验
基于agent的建模(ABM)提供了一种研究由相互作用的自治agent产生的突发现象的方法。然而,这种建模方法存在一些问题。一个问题是如何在不强加宏观层面的聚合规则的情况下,将战略集团的形成整合到ABM中。另一个问题是,计算机代理的行为是否反映了实际的人类行为。Collins和Frydenlund在2018年开发了一种混合建模方法来解决第一个问题。本文的重点是在混合模型的背景下关注第二个问题。研究人员进行了一项实验,以帮助确定一个人的经历是否会影响他们的行为,以及他们的行为是否与混合模型产生的行为相似。实验结果证实了这两个论断。我们的实验使用了一个标准的合作博弈论博弈,称为手套博弈,作为其基本场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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