Rules based policies, and Intelligence in Strategic Behavior

基于规则的政策和战略行为情报

• 批准号: 1728056
• 负责人: Aldo Rustichini
• 金额: $ 43.83万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1728056&HistoricalAwards=false
• 关键词: Rules; based; policies; Intelligence; Strategic

Award Abstract: Rules based Policies, and Intelligence in Strategic Behavior Studies show that decision making, especially in situations involving strategic interaction, varies with the level of intelligence, preferences, and personality. However, there is no theoretical framework to organize these differences. This research project will use experimental methods to develop and test a cognitive theory of strategic reasoning and behavior. This research will combine insights from several fields of study to develop a rules-based theory that explains the role of intelligence in strategic decision making. The resulting theory will be tested experimentally to include fMRI data on brain functioning during strategic decision making. Understanding how intelligence affects strategic and thus, social behavior is essential input to policy guidance, especially in education. There is convincing evidence that cognitive skills affect how individuals perform on the job, in schools, but also more broadly how they behave in society, cooperate, decide to follow norms, and look for cooperative behavior. Understanding how much of these outcomes can be modified through appropriate educational policies will not only improve individual performance but will also have a substantial and positive effect on building a cohesive and sustainable society.This research will provide the foundation for a plausible, descriptive, cognitive model of strategic reasoning and behavior, and test it experimentally. This model is an essential first step to understanding how Intelligence affects behavior of individuals in social interactions, particularly in repeated interactions. The research will combine theory (derived from multiple disciplines such as game theory, cognitive psychology, complexity theory and neural networks) and experimental methods, using both behavioral and functional imaging tools. From academic research point of view, the predictions of this research will constitute an innovation compared to existing literature in Game Theory, even with respect to more descriptively accurate models of reasoning such as automata theories. The predictions will also be important innovations with respect to specialized research in Cognitive Psychology on rules, for example, because the rules currently studied are produced by the subject, rather than assigned by the experimenter. Understanding how Intelligence affects strategic and thus social behavior will offer guidance to policy, particularly education policy. Understanding how much of the effect can be modified by appropriate education policies will have a substantial and positive effect on building a sustainable, cohesive society.

奖项摘要：基于规则的政策和战略行为中的情报研究表明，决策，特别是在涉及战略互动的情况下，会随着情报水平、偏好和个性的变化而变化。 然而，没有理论框架来组织这些差异。 该研究项目将使用实验方法来开发和测试策略推理和行为的认知理论。 这项研究将结合多个研究领域的见解，开发一种基于规则的理论，解释情报在战略决策中的作用。 由此产生的理论将进行实验测试，以纳入战略决策过程中大脑功能的功能磁共振成像数据。 了解智力如何影响战略行为以及社会行为是政策指导的重要输入，尤其是在教育领域。 有令人信服的证据表明，认知技能不仅影响个人在工作和学校的表现，而且更广泛地影响他们在社会中的表现、合作、决定遵守规范以及寻求合作行为。了解通过适当的教育政策可以在多大程度上改变这些结果，不仅会提高个人表现，还会对建立一个有凝聚力和可持续发展的社会产生实质性和积极的影响。这项研究将为战略推理和行为的合理的、描述性的认知模型提供基础，并进行实验测试。该模型是理解智力如何影响社交互动中个体行为的重要第一步，特别是在重复互动中。 该研究将结合理论（源自博弈论、认知心理学、复杂性理论和神经网络等多个学科）和实验方法，使用行为和功能成像工具。 从学术研究的角度来看，与博弈论现有文献相比，即使对于自动机理论等描述性更准确的推理模型，本研究的预测也将构成创新。 例如，对于认知心理学中关于规则的专门研究而言，这些预测也将是重要的创新，因为目前研究的规则是由受试者产生的，而不是由实验者指定的。 了解智力如何影响战略行为以及社会行为将为政策（特别是教育政策）提供指导。 了解适当的教育政策可以在多大程度上改变这种影响，将对建设一个可持续、有凝聚力的社会产生实质性和积极的影响。