Support for the 2010 Annual Meeting of the Society for Mathematical Psychology

支持数学心理学会2010年年会

• 批准号: 1021089
• 负责人: Robin Thomas
• 金额: $ 1万
• 依托单位: Society for Mathematical Psychology, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1021089&HistoricalAwards=false
• 关键词: Support; 2010; Annual; Meeting; Society

This award will provide partial support for the 43rd Annual Meeting of the Society for Mathematical Psychology, to be held in Portland, Oregon on August 7-11, 2010. 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) Cognitive models and the 'wisdom of crowds', (2) Contextual reinstatement and episodic memory, (3) New computational approaches to word learning, and (4) Applications of models of response time.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.

该奖项将为数学心理学学会第43届年会提供部分支持，该年会将于2010年8月7日至11日在俄勒冈州的波特兰举行。 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）认知模型和“群体的智慧”，（2）语境复原和情景记忆，（3）单词学习的新计算方法，（4）反应时间模型的应用。数学心理学汇集了社会科学家，统计学家，数学家和计算机科学家，致力于研究行为科学家的关键问题。 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。