decades, many second language acquisition (SLA) researchers have turned to complex dynamic systems theory (CDST) as a means of understanding L2 acquisition, as both the objects of SLA research (language, learners and teachers) and the process of language acquisition itself are complex systems. In...
动力系统理论 Dynamical Systems Theory,也常译作动力学理论、或动态系统理论,它是数学研究的一部分。它主要利用微分和差分方程,来描述和研究复杂的动力系统。当系统由微分方程描述时,该理论被称为连续(时间)动力系统 continuous dynamical system。当动力系统由微分或差分方程描述时,这个方程被称为动态方程 dynamic equ...
47Context and ComplexDynamic Systems TheoryEma UshiodaLearner–Context Relations as EcosystemsA major challenge when it comes to researching complex dynamic sys-tems theory (CDST) is how to define, delimit and empirically capture whatis meant by context. Within second language acquisition (SLA) research...
When Einstein was asked what was most helpful to him in developing the theory of relativity, he replied, “Figuring out how to think about the problem.” The challenges we face today and those we’ll confront in the future require new ways of thinking about and understanding the complex, in...
The relationship of network structure and dynamics is one of most extensively investigated problems in the theory of complex systems of the last years. Understanding this relationship is of relevance to a range of disciplines -- from Neuroscience to Geomorphology. A major strategy of investigating thi...
Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory? Ecological topology and networks? Studies towards an ecology of complex systems? Complex systems approaches for the study of dynamic human-environment interactions? Using knowledge of ...
These work not only have greatly enhanced our understandings of synchronization in complex systems and promoted the development of synchronization theory, but also paved a way for potential applications in future. × Upload graph Chinese English Upload ( Remark : Support format jpg/gif/png ;...
Although control theory offers mathematical tools for steering engineered and natural systems towards a desired state, a framework to control complex self-organized systems is lacking. Here we develop analytical tools to study the controllability of an arbitrary complex directed network, identifying the ...