epistemologically speaking, second language acquisition research (slar) might be reconsidered from a complex dynamical system view with interconnected aspects in the ecosystem of language acquisition. the present paper attempts to introduce the tenets of complex system theory and its application in slar. it has been suggested that the present dominant traditions in language acquisition research...

This is the fourth report from the GridWeaver project. It describes a demonstrator that showcases a subset of the concepts explored in the previous report [ABK03a]. The aim of the demonstrator is to illustrate that we can model, configure, and manage a complex, adaptive system, using our prototype LCFG/SmartFrog architecture as the deployment environment. To achieve our goal, we created a proto...

Maintaining accurate beliefs in a changing environment requires dynamically adapting the rate at which one learns from new experiences. Beliefs should be stable in the face of noisy data but malleable in periods of change or uncertainty. Here we used computational modeling, psychophysics, and fMRI to show that adaptive learning is not a unitary phenomenon in the brain. Rather, it can be decompo...

Epistemologically speaking, second language acquisition research (SLAR) might be reconsidered from a complex dynamical system view with interconnected aspects in the ecosystem of language acquisition. The present paper attempts to introduce the tenets of complex system theory and its application in SLAR. It has been suggested that the present dominant traditions in language acquisition research...

Self-adaptive systems are capable of adjusting their behavior to cope with the changes in environment and itself. These changes may cause runtime uncertainty, which refers to the system state of failing to achieve appropriate reconfigurations. However, it is often infeasible to exhaustively anticipate all the changes. Thus, providing dynamic adaptation mechanisms for mitigating runtime uncertai...

The mathematical structures of loopy belief propagation are reviewed for graphical models in probabilistic information processing in the stand point of cluster variation method. An extension of adaptive TAP approaches is given by introducing a generalized scheme of the cluster variation method. Moreover the practical message update rules in loopy belief propagation are summarized also for quant...