INTEGRATIVE THEORY OF SOCIAL PERCEPTION AND JUDGMENT

社会知觉与判断的综合理论

• 批准号: 2903263
• 负责人: ELIOT R SMITH
• 金额: $ 12.35万
• 依托单位: PURDUE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-01 至 2004-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2903263
• 关键词: attitude; behavior prediction; behavioral /social science research tag; cognition; computational neuroscience; computer simulation; human data; impression; interpersonal relations; judgment; memory; model design /development; motivation; neural information processing; prejudice; self concept; social behavior; social model; social perception; social psychology

This is a request for an Independent Scientist Award (K02). The applicant's immediate goals are to continue developing his knowledge and skills in connectionist (or parallel distributed processing) models in general, and applying those models within social psychology. This work fits within his long-term career goal of building integrative theory of mental representations and processes within social psychology. The career development plan involv3es building knowledge and skills related to connectionist models through relevant books, journals, and conferences; continuing to work with computer simulations of connectionist models applied to social psychological topics; and improving the accessibility of connectionist modeling for social psychologists in general. This work will take place at Purdue University, an extremely supportive training environment that offers access to numerous researchers with relevant expertise. The research plan is to continue developing and testing connectionist models with social psychology. The models' predictions, made precise and explicit by computer simulations, will be compared against results from existing studies in the field. When the models generate new predictions that have not yet been empirically tested, new laboratory studies of such predictions will be conducted; there are already several examples of new predictions that have not been confirmed by empirical test. Past and current research has related properties of connectionist models to memory for social schemas and exemplars, accessibility, heuristic- systematic and other related dual process models, stereotype learning and change, language and autobiographical memory, and flexibility of the self-concept and other knowledge representations. Planned work will continue in these areas and others including representation of attitudes, motivation and the affect-cognition interface, social interaction, and social influence. The overall goal of both training and research is to use connectionist models to generate new insights into core social psychological phenomena, incorporating social psychology within the new wave of theoretical integration that appears to be building across all of psychology through the common theoretical language of connectionist models.

这是独立科学家奖（K02）的请求。申请人的近期目标是继续发展他在联结主义（或并行分布式处理）模型方面的知识和技能，并将这些模型应用于社会心理学。这项工作符合他在社会心理学中建立心理表征和过程的综合理论的长期职业目标。职业发展计划包括通过相关书籍、期刊和会议建立与联结主义模型相关的知识和技能；继续研究应用于社会心理学主题的联结主义模型的计算机模拟；提高一般社会心理学家对联结主义模型的可及性。这项工作将在普渡大学进行，这是一个非常支持的培训环境，为众多具有相关专业知识的研究人员提供了机会。研究计划是继续开发和测试社会心理学的联结主义模型。这些模型的预测通过计算机模拟得到精确而明确的结果，并将与该领域现有研究的结果进行比较。当模型产生尚未经过实证检验的新预测时，将对此类预测进行新的实验室研究；已经有一些新预测的例子尚未得到实证检验的证实。过去和当前的研究将联结主义模型的属性与社会图式和范例的记忆、可访问性、启发式系统和其他相关的双重过程模型、刻板印象学习和改变、语言和自传体记忆以及自我概念和其他知识表征的灵活性相关联。计划中的工作将继续在这些领域和其他领域进行，包括态度、动机和情感认知界面、社会互动和社会影响力的表征。培训和研究的总体目标是利用联结主义模型对核心社会心理现象产生新的见解，将社会心理学纳入新的理论整合浪潮中，这一浪潮似乎通过联结主义模型的共同理论语言构建在所有心理学领域。