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Complex Adaptive Systems Modeling最新文献

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Segregation mechanisms of tissue cells: from experimental data to models 组织细胞的分离机制:从实验数据到模型
Complex Adaptive Systems Modeling Pub Date : 2013-03-13 DOI: 10.1186/2194-3206-1-4
E. Méhes, T. Vicsek
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引用次数: 18
Clustering datasets by complex networks analysis 通过复杂网络分析聚类数据集
Complex Adaptive Systems Modeling Pub Date : 2013-03-13 DOI: 10.1186/2194-3206-1-5
G. Armano, M. A. Javarone
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引用次数: 11
PyCX: a Python-based simulation code repository for complex systems education PyCX:用于复杂系统教育的基于python的模拟代码存储库
Complex Adaptive Systems Modeling Pub Date : 2013-03-13 DOI: 10.1186/2194-3206-1-2
Hiroki Sayama
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引用次数: 21
Complex adaptive systems modeling with Repast Simphony Repast Simphony的复杂自适应系统建模
Complex Adaptive Systems Modeling Pub Date : 2013-03-13 DOI: 10.1186/2194-3206-1-3
M. North, Nicholson T. Collier, J. Ozik, E. Tatara, C. Macal, M. Bragen, P. Sydelko
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引用次数: 536
Complex Adaptive Systems Modeling: A multidisciplinary Roadmap 复杂自适应系统建模:多学科路线图
Complex Adaptive Systems Modeling Pub Date : 2013-03-13 DOI: 10.1186/2194-3206-1-1
M. Niazi
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引用次数: 60
An introduction to natural computation 自然计算入门
Complex Adaptive Systems Modeling Pub Date : 2000-01-01 DOI: 10.5860/choice.35-1571
D. Ballard
{"title":"An introduction to natural computation","authors":"D. Ballard","doi":"10.5860/choice.35-1571","DOIUrl":"https://doi.org/10.5860/choice.35-1571","url":null,"abstract":"From the Publisher: It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models--ranging from neural network learning through reinforcement learning to genetic learning--and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.","PeriodicalId":55853,"journal":{"name":"Complex Adaptive Systems Modeling","volume":"3 1","pages":"I-XXII, 1-306"},"PeriodicalIF":0.0,"publicationDate":"2000-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87955319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 73
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