What are the mental operations involved in game theoretic decision making? How do players deliberate (intelligently, but perhaps imperfectly) about strategic interdependencies and ultimately decide on a strategy? We address these questions using an evidence accumulation model, with bidirectional connections between preferences for the strategies available to the decision maker and beliefs regarding the opponent's choices. Our dual accumulator model accounts for a variety of behavioral patterns, including limited iterated reasoning, payoff sensitivity, consideration of risk-reward tradeoffs, and salient label effects, and it provides a good quantitative fit to existing behavioral data. In a comparison with other popular behavioral game theoretic models fit at the individual subject level to choices across a set of games, the dual accumulator model makes the most accurate out-of-sample predictions. Additionally, as a cognitive-process model, it can also be used to make predictions about response time patterns, time pressure effects, and attention during deliberation. Stochastic sampling and dynamic accumulation, cognitive mechanisms foundational to decision making, play a critical role in explaining well-known behavioral patterns as well as in generating novel predictions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

中文翻译：

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战略审议与决策的双重积累模型。

博弈论决策中涉及哪些心理操作？参与者如何（智能地，但可能是不完美地）思考战略上的相互依赖关系，并最终决定战略？我们使用证据累积模型解决这些问题，决策者可以采用的策略偏好与对手选择的信念之间存在双向联系。我们的双累加器模型考虑了多种行为模式，包括有限的迭代推理，收益敏感性，风险-收益权衡的考虑以及显着的标签效应，并且它为现有的行为数据提供了良好的定量拟合。与其他流行的行为游戏理论模型进行比较后，该模型在单个主题级别上适合一系列游戏中的选择，双累加器模型可做出最准确的样本外预测。另外，作为认知过程模型，它也可以用于进行思考时的响应时间模式，时间压力影响和注意力预测。随机抽样和动态积累是决策的基础认知机制，在解释众所周知的行为模式以及生成新的预测中起着至关重要的作用。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。在解释众所周知的行为模式以及生成新颖的预测中起着至关重要的作用。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。在解释众所周知的行为模式以及生成新颖的预测中起着至关重要的作用。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。