Doctoral Dissertation Research in Political Science: A Computational Model of Political Attitude and Behavior

一个更全面的人类心理过程模型是可能的，也是必要的，以提高我们对普通公民的政治判断和行为的理解。在这里，我开发了一个心理过程的计算模型，命名为约翰Q。公共性是一种既包含认知机制又包含情感机制，并整合了在线加工和基于记忆的模型的概念。使用该模型，我将同时再现和解释公众舆论和投票行为中的众所周知的经验现象，这些现象仅在经验上被单独和部分地解释。也就是说，我将表明，众所周知的经验主义的影响-如认知和态度启动效应，双过程，问题的顺序和措辞的影响，在调查研究，和在线处理-是由一个单一的，原则性的一套认知/情感机制。同时，本研究也表明，在线加工和记忆模型这两种主要的竞争性政治判断理论实际上是相互依存的，应该整合为一个更一般的理论。该研究还介绍了一个“完全”的认知模型的战略行为。具体来说，我把多个约翰Q。公众作为一个重复的社会困境游戏的球员，并试图解释，在“认知可行”的方式，在实验数据中观察到的合作的动态。 更广泛的影响：可以帮助扩大对普通公民的政治判断和投票行为的理解。

A more comprehensive model of human mental process is possible and necessary to improve our understanding of ordinary citizens' political judgment and behavior. Here, I develop a computational model of mental process, named as John Q. Public, that incorporates both cognitive and affective mechanism, and integrates on-line processing and memory-based model. Using the model, I will simultaneously reproduce and explain the well-known empirical phenomena in public opinion and voting behaviors that have been only separately and partially accounted for empirically. That is, I will show that the well-known empirical regularities - such as cognitive and attitude priming effect, dual-process, question order and wording effects in survey research, and on-line processing - are generated by a single, principled set of cognitive/affective mechanisms. By doing so, the study also shows that the two major competitive theories of political judgments, on-line processing and memory-based model, are in fact interdependent and should be integrated into a more general theory. The study also introduces a 'fully' cognitive model of strategic behavior. Specifically, I put multiple John Q. Publics as players in a repeated social dilemma game and try to explain, in a 'cognitively feasible' way, the dynamics of cooperation observed in experimental data. Broader Impacts: Can help broaden understanding of ordinary citizens' political judgment and voting behavior.