Laboratory Models of Cultural Evolution: Fitting Theoretical Models to Experimental Data
Laboratory Models of Cultural Evolution: Fitting Theoretical Models to Experimental Data
批准号:
0455009
负责人:
Peter Richerson
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2009-06-30
中文摘要
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英文摘要
Humans differ from other animals in their great capacity to learn from each other. Recently, theories of cultural evolution have come to provide some insights to many important questions in social sciences, such as cultural variation, cooperation, social learning, and decision-making under uncertainty. Different social science disciplines are currently addressing these questions with divergent vocabularies and methodologies. Cultural evolution models and evolutionary theories in general have the potential to bridge disciplinary divides. Unfortunately, theories of cultural evolution have received little empirical testing in either field or experimental studies. This project will conduct a series of micro-society experiments to test the behavioral implications of theoretical models of cultural evolution. Micro-societies are groups of interacting human participants who receive variable amounts of money based on how they perform over multiple time periods in an experimental task. Laboratory micro-societies are an attractive method because individual and population-level behavior can evolve and produce interesting emergent patterns over time. The researchers will simulate critical features of evolutionary models by controlling the structure of the experimental task and the kinds of information available to participants. They will develop a series of traditional and computer-mediated laboratory experiments, as well as Internet-based experiments that can tap into a global pool of subjects from diverse backgrounds and cultures, to test success-biased social learning strategies where people use the payoffs of others to guide their own decision-making. Theories of how people use the success of others to acquire their own behavior are common in the social sciences, but empirical tests and refinement of these theories is very uncommon. Thus this work will be of general importance to many fields concerned with the details of how people make decisions in social environments. The project will use maximum likelihood techniques to estimate how much participants rely on individual versus social learning under different experimental conditions.The broader impact of the research relates to the value of new knowledge about the evolution of patterns of cooperation, institutions, and cultural norms and symbols. The research will help reveal the basic behavioral mechanisms that underlie these processes, and therefore will be useful to policy makers concerned with large-scale social changes that have profound implications for human welfare.
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会议论文
Doctoral Dissertation Research: Cultural Variation and Evolution
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批准号:0823448
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2008
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负责人:Peter Richerson
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依托单位:
EITM: Cultural Evolution and Human Behavior: Linking Theory and Empirical Research
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批准号:0340148
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项目类别:Standard Grant
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资助金额:$8.0万
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财政年份:2004
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负责人:Peter Richerson
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依托单位:
Dissertation Research: Social Norms and Group Cooperation in an Agro-Pastoral Region of Tanzania
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批准号:9817248
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项目类别:Standard Grant
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资助金额:$1.09万
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财政年份:1999
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负责人:Peter Richerson
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依托单位:
Dissertation Research: Field Tests of Interspecific Competition Among Phytoplankton
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批准号:8501872
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项目类别:Standard Grant
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资助金额:$1.14万
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财政年份:1985
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负责人:Peter Richerson
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依托单位:
The Limnology of Lake Titicaca
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批准号:7921933
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项目类别:Continuing Grant
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资助金额:$32.23万
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财政年份:1980
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负责人:Peter Richerson
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依托单位:
Doctoral Dissertation Research in Population Biology
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批准号:7720800
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项目类别:Standard Grant
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资助金额:$0.2万
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财政年份:1978
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负责人:Peter Richerson
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依托单位:
Spatial Scales of Coupled Biological and Physical Processes In Lakes
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批准号:7620341
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项目类别:Continuing Grant
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资助金额:$8.37万
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财政年份:1976
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负责人:Peter Richerson
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依托单位:
Spatial Scales of Coupled Biological and Physical Processes In Lakes
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批准号:7514273
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项目类别:Standard Grant
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资助金额:$4.84万
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财政年份:1975
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负责人:Peter Richerson
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位:
新型手性NAD(P)H Models合成及生化模拟
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批准号:20472090
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项目类别:面上项目
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资助金额:23.0万元
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批准年份:2004
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负责人:王乃兴
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依托单位: