Support for the 2012 Annual Meeting of the Society for Mathematical Psychology

该奖项将为将于2012年7月21日至24日在俄亥俄州哥伦布举行的第45届数学心理学学会年会提供部分支持。数学心理学学会会议鼓励提出研究，其中数学，统计或模拟方法在行为，神经和认知科学的假设或实验结果的解释中发挥重要作用。此外，被接受的研究论文集中在与心理学，认知科学，认知神经科学中明显使用的实质性问题或方法学以及直接关系到人类行为方面的特定数学或模拟模型的相关领域和/或实验结果的理论发展。今年的会议主题包括：（1）认知的神经模型;（2）大数据建模;（3）认知建模中的贝叶斯方法。两个活动将在全社会会议开始前一天举行。一个是为期半天的会议，重点是指导妇女在数学心理学。另一个是为期半天的研讨会，题为“利用量子概率和动力学建立人类认知模型”。数学心理学将社会科学家、统计学家、数学家和计算机科学家聚集在一起，致力于解决对行为科学家至关重要的问题。许多变革性的研究来自数学心理学界，包括大脑功能、记忆和决策的数学模型，以及数据分析新方法的引入。虽然数学模型提高了我们对人类行为的理解，并为未来的科学探索提供了正式的结构，但新的更好的数据分析方法使我们能够从行为数据中得出更准确和细致入微的结论。该协会的年度会议促进了发现和理解。它促进了对分析行为数据的新模型和方法的培训和学习。它使得广泛传播心理学、经济学、政治学和社会学各个领域的重要新发现成为可能。

This award will provide partial support for the 45th Annual Meeting of the Society for Mathematical Psychology to be held in Columbus, Ohio on July 21-24, 2012. The Society for Mathematical Psychology Conference encourages the presentation of research in which mathematical, statistical, or simulation methods play a significant role in the development of hypotheses or the interpretation of experimental results in the behavioral, neural, and cognitive sciences. In addition, accepted research papers focus on theoretical developments clearly relating to substantive issues or methodologies of obvious use in psychology, cognitive science, cognitive neuroscience, and related areas and/or experimental results which bear directly on particular mathematical or simulation models of aspects of human behavior. This year's conference themes include: (1) Neural models of cognition; (2) Modeling with Big Data; and (3) Bayesian methodology in cognitive modeling. Two events will take place on the day prior to the start of the full Society meeting. One is a half-day meeting focusing on the mentoring of women in mathematical psychology. The other is a half-day workshop entitled "Building Human Cognitive Models Using Quantum Probability and Dynamics." Mathematical psychology brings together social scientists, statisticians, mathematicians, and computer scientists to work on problems critical to behavioral scientists. Much transformational research has come from the mathematical psychology community, including mathematical models of brain function, memory, and decision-making, as well as the introduction of new methods for data analysis. While mathematical models improve our understanding of human behavior and provide formal structures for future scientific exploration, new and better methods for data analysis allow us to derive more accurate and nuanced conclusions from behavioral data. The annual meeting of the Society advances discovery and understanding. It promotes training and learning of new models and methods for analyzing behavioral data. It makes possible the broad dissemination of new findings important in all areas of psychology, as well as economics, political science, and sociology.