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检索条件"机构=Evolutionary and Complex Systems Program"
29 条 记 录,以下是1-10 订阅
排序:
Ecology, Spatial Structure, and Selection Pressure Induce Strong Signatures in Phylogenetic Structure
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Artificial life 2025年 第2期31卷 129-152页
作者: Moreno, Matthew Andres Rodriguez-Papa, Santiago Dolson, Emily University of Michigan Department of Ecology and Evolutionary Biology Center for the Study of Complex Systems Michigan Institute for Data and AI in Society Michigan State University Department of Computer Science and Engineering Michigan State University Department of Computer Science and Engineering Program in Ecology Evolution Behavior
evolutionary dynamics are shaped by a variety of fundamental, generic drivers, including spatial structure, ecology, and selection pressure. These drivers impact the trajectory of evolution and have been hypothesized ... 详细信息
来源: 评论
Testing the Inference Accuracy of Accelerator-Friendly Approximate Phylogeny Tracking
Testing the Inference Accuracy of Accelerator-Friendly Appro...
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2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent systems, ALIFE-CIS 2025
作者: Moreno, Matthew Andres Ranjan, Anika Dolson, Emily Zaman, Luis University of Michigan Department of Ecology and Evolutionary Biology Ann Arbor United States Center for the Study of Complex Systems University of Michigan Ann Arbor United States Michigan Institute for Data and Ai in Society University of Michigan Ann Arbor United States Undergraduate Research Opportunities Program University of Michigan Ann Arbor United States Michigan State University Department of Computer Science and Engineering East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States
Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, agent-based approaches provide an opportunity to collect high-quality records of ancestry relationships. Su... 详细信息
来源: 评论
Testing the Inference Accuracy of Accelerator-Friendly Approximate Phylogeny Tracking
Testing the Inference Accuracy of Accelerator-Friendly Appro...
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Computational Intelligence in Artificial Life and Cooperative Intelligent systems (ALIFE-CIS), IEEE Symposium on
作者: Matthew Andres Moreno Anika Ranjan Emily Dolson Luis Zaman Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor United States Center for the Study of Complex Systems University of Michigan Ann Arbor United States Michigan Institute for Data and AI in Society University of Michigan Ann Arbor United States Undergraduate Research Opportunities Program University of Michigan Ann Arbor United States Department of Computer Science and Engineering Michigan State University East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States
Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, agent-based approaches provide an opportunity to collect high-quality records of ancestry relationships. Su... 详细信息
来源: 评论
Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data
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Applied Network Science 2018年 第1期3卷 46页
作者: Fotouhi, Babak Momeni, Naghmeh Riolo, Maria A. Buckeridge, David L. Program for Evolutionary Dynamics Harvard University Cambridge United States Sloan School of Management Massachusetts Institute of Technology Cambridge United States Center for the Study of Complex Systems University of Michigan Ann ArborMI United States Department of Epidemiology Biostatistics and Occupational Health McGill University Montreal Canada
Tools from network science can be utilized to study relations between diseases. Different studies focus on different types of inter-disease linkages. One of them is the comorbidity patterns derived from large-scale lo... 详细信息
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Interaction stochasticity supports cooperation in spatial Prisoner’s dilemma
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Physical Review E 2008年 第5期78卷 051120-051120页
作者: Xiaojie Chen Feng Fu Long Wang State Key Laboratory for Turbulence and Complex Systems Center for Systems and Control College of Engineering Peking University Beijing 100871 China Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA
Previous studies mostly assume deterministic interactions among neighboring individuals for games on graphs. In this paper, we relax this assumption by introducing stochastic interactions into the spatial Prisoner’s ... 详细信息
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Expectation-driven migration promotes cooperation by group interactions
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Physical Review E 2012年 第6期85卷 066104-066104页
作者: Te Wu Feng Fu Yanling Zhang Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA
“Voting with feet” describes the prominent social phenomenon that people tend to move away from deteriorating neighborhoods and search for and join prosperous groups. To quantify the role this kind of expectation-dr... 详细信息
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Partner selections in public goods games with constant group size
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Physical Review E 2009年 第2期80卷 026121-026121页
作者: Te Wu Feng Fu Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA
Most of previous studies concerning the public goods game assume either participation is unconditional or the number of actual participants in a competitive group changes over time. How the fixed group size, prescribe... 详细信息
来源: 评论
Inertia in strategy switching transforms the strategy evolution
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Physical Review E 2011年 第6期84卷 066103-066103页
作者: Yanling Zhang Feng Fu Te Wu Guangming Xie Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA
A recent experimental study [Traulsen et al., Proc. Natl. Acad. Sci. 107, 2962 (2010)] shows that human strategy updating involves both direct payoff comparison and the cost of switching strategy, which is equivalent... 详细信息
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Partner switching stabilizes cooperation in coevolutionary prisoner’s dilemma
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Physical Review E 2009年 第3期79卷 036101-036101页
作者: Feng Fu Te Wu Long Wang Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China
Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooper... 详细信息
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Architecture of the Genotype-Phenotype Map and the Coevolution of complexity
Architecture of the Genotype-Phenotype Map and the Coevoluti...
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2021 Conference on Artificial Life, ALIFE 2021
作者: Kumawat, Bhaskar Zaman, Luis Undergraduate Program Indian Institute of Science Bangalore560012 India Department of Ecology and Evolutionary Biology University of Michigan Ann ArborMI48109 United States Center for the Study of Complex Systems University of Michigan Ann ArborMI48109 United States
The addition of parasites to a host population can drive an escalation in the host population’s phenotypic complexity – even in the absence of a direct fitness advantage for this increase. Parasites restrict certain... 详细信息
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