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Red Queen Coevolution on Fitness Landscapes 健身景观中的红皇后协同进化
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2013-03-22 DOI: 10.1007/978-3-642-41888-4_11
R. Solé, J. Sardanyés
{"title":"Red Queen Coevolution on Fitness Landscapes","authors":"R. Solé, J. Sardanyés","doi":"10.1007/978-3-642-41888-4_11","DOIUrl":"https://doi.org/10.1007/978-3-642-41888-4_11","url":null,"abstract":"","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130006543","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: 7
Volunteered Geographic Information and Computational Geography: New Perspectives 志愿地理信息与计算地理:新视角
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-12-05 DOI: 10.1007/978-94-007-4587-2_8
B. Jiang
{"title":"Volunteered Geographic Information and Computational Geography: New Perspectives","authors":"B. Jiang","doi":"10.1007/978-94-007-4587-2_8","DOIUrl":"https://doi.org/10.1007/978-94-007-4587-2_8","url":null,"abstract":"","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129382290","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: 22
Complex Systems with Trivial Dynamics 具有平凡动力学的复杂系统
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-10-24 DOI: 10.1007/978-3-319-00395-5_10
R. López-Ruiz
{"title":"Complex Systems with Trivial Dynamics","authors":"R. López-Ruiz","doi":"10.1007/978-3-319-00395-5_10","DOIUrl":"https://doi.org/10.1007/978-3-319-00395-5_10","url":null,"abstract":"","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124424551","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: 2
Geometrical Derivation of Equilibrium Distributions in Some Stochastic Systems 一些随机系统平衡分布的几何推导
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-08-01 DOI: 10.5772/46152
R. López-Ruiz, J. Sanudo
{"title":"Geometrical Derivation of Equilibrium Distributions in Some Stochastic Systems","authors":"R. López-Ruiz, J. Sanudo","doi":"10.5772/46152","DOIUrl":"https://doi.org/10.5772/46152","url":null,"abstract":"In this chapter, we present a straightforward geometrical argument that in a certain way recalls us the equivalence between the canonical and the microcanonical ensembles in the thermodynamic limit for the particular context of physical sciences. In the more general context of homogeneous multi-agent systems, we conclude by highlighting the statistical equivalence of the volume-based and surface-based calculations in this type of systems.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891416","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: 0
Self-organized stochastic tipping in slow-fast dynamical systems 慢-快动力系统的自组织随机引爆
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-07-12 DOI: 10.2140/MEMOCS.2013.1.129
Mathias Linkerhand, C. Gros
{"title":"Self-organized stochastic tipping in slow-fast dynamical systems","authors":"Mathias Linkerhand, C. Gros","doi":"10.2140/MEMOCS.2013.1.129","DOIUrl":"https://doi.org/10.2140/MEMOCS.2013.1.129","url":null,"abstract":"Polyhomeostatic adaption occurs when evolving systems try to achieve a target distribution function for certain dynamical parameters, a generalization of the notion of homeostasis. Here we consider a single rate encoding leaky integrator neuron model driven by white noise, adapting slowly its internal parameters, the threshold and the gain, in order to achieve a given target distribution for its time-average firing rate. For the case of sparse encoding, when the target firing-rated distribution is bimodal, we observe the occurrence of spontaneous quasi-periodic adaptive oscillations resulting from fast transition between two quasi-stationary attractors. We interpret this behavior as self-organized stochastic tipping, with noise driving the escape from the quasi-stationary attractors.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129771765","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: 5
Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach 基于智能体模型的聚集与涌现:一种马尔可夫链方法
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-07-10 DOI: 10.1007/978-3-319-00395-5_1
Sven Banisch, R. Lima, T. Araújo
{"title":"Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach","authors":"Sven Banisch, R. Lima, T. Araújo","doi":"10.1007/978-3-319-00395-5_1","DOIUrl":"https://doi.org/10.1007/978-3-319-00395-5_1","url":null,"abstract":"","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116846017","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: 11
Evolutionary Transitions and Top-Down Causation 进化转变和自上而下的因果关系
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-07-02 DOI: 10.7551/978-0-262-31050-5-CH038
S. Walker, Luis H. Cisneros, P. Davies
{"title":"Evolutionary Transitions and Top-Down Causation","authors":"S. Walker, Luis H. Cisneros, P. Davies","doi":"10.7551/978-0-262-31050-5-CH038","DOIUrl":"https://doi.org/10.7551/978-0-262-31050-5-CH038","url":null,"abstract":"Top-down causation has been suggested to occur at all scales of biological organization as a mechanism for explaining the hierarchy of structure and causation in living systems. Here we propose that a transition from bottom-up to top-down causation -- mediated by a reversal in the flow of information from lower to higher levels of organization, to that from higher to lower levels of organization -- is a driving force for most major evolutionary transitions. We suggest that many major evolutionary transitions might therefore be marked by a transition in causal structure. We use logistic growth as a toy model for demonstrating how such a transition can drive the emergence of collective behavior in replicative systems. We then outline how this scenario may have played out in those major evolutionary transitions in which new, higher levels of organization emerged, and propose possible methods via which our hypothesis might be tested.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"32 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716766","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: 46
Dynamic Transition and Pattern Formation for Chemotactic Systems 趋化系统的动态转换和模式形成
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2012-06-22 DOI: 10.3934/DCDSB.2014.19.2809
T. Ma, Shouhong Wang
{"title":"Dynamic Transition and Pattern Formation for Chemotactic Systems","authors":"T. Ma, Shouhong Wang","doi":"10.3934/DCDSB.2014.19.2809","DOIUrl":"https://doi.org/10.3934/DCDSB.2014.19.2809","url":null,"abstract":"The main objective of this article is to study the dynamic transition and pattern formation for chemotactic systems modeled by the Keller-Segel equations. We study chemotactic systems with either rich or moderated stimulant supplies. For the rich stimulant chemotactic system, we show that the chemotactic system always undergoes a Type-I or Type-II dynamic transition from the homogeneous state to steady state solutions. The type of transition is dictated by the sign of a non dimensional parameter $b$. For the general Keller-Segel model where the stimulant is moderately supplied, the system can undergo a dynamic transition to either steady state patterns or spatiotemporal oscillations. From the pattern formation point of view, the formation and the mechanism of both the lamella and rectangular patterns are derived.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131930716","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: 13
Facing Complexity: Prediction vs. Adaptation 面对复杂性:预测与适应
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2011-12-16 DOI: 10.1007/978-3-642-32817-6_2
C. Gershenson
{"title":"Facing Complexity: Prediction vs. Adaptation","authors":"C. Gershenson","doi":"10.1007/978-3-642-32817-6_2","DOIUrl":"https://doi.org/10.1007/978-3-642-32817-6_2","url":null,"abstract":"","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133331557","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: 21
Accuracy analysis of the box-counting algorithm 盒计数算法的精度分析
arXiv: Adaptation and Self-Organizing Systems Pub Date : 2011-11-24 DOI: 10.12693/APhysPolA.121.B-28
A. Górski, S. Drożdż, A. Mokrzycka, A. Mokrzycka, J. Pawlik, J. Pawlik
{"title":"Accuracy analysis of the box-counting algorithm","authors":"A. Górski, S. Drożdż, A. Mokrzycka, A. Mokrzycka, J. Pawlik, J. Pawlik","doi":"10.12693/APhysPolA.121.B-28","DOIUrl":"https://doi.org/10.12693/APhysPolA.121.B-28","url":null,"abstract":"Accuracy of the box-counting algorithm for numerical computation of the fractal exponents is investigated. To this end several sample mathematical fractal sets are analyzed. It is shown that the standard deviation obtained for the fit of the fractal scaling in the log-log plot strongly underestimates the actual error. The real computational error was found to have power scaling with respect to the number of data points in the sample ($n_{tot}$). For fractals embedded in two-dimensional space the error is larger than for those embedded in one-dimensional space. For fractal functions the error is even larger. Obtained formula can give more realistic estimates for the computed generalized fractal exponents' accuracy.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131000976","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: 6
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