Metals production and consumption networks are complex Large Scale Socio-Technical Systems, consisting of many technical installations, companies operating them, at a global scale, with large environmental impacts. Understanding their dynamics and behavior requires models that are capable of capturing technical, social, economic and other dimensions. Modeling in the metals domain has traditiona...

This paper is about one of the central dilemmas of e-Learning: can we separate content and context, and how should we manage the relationship between the two? Or to put it another way, are Learning Objects just commoditised learning? With the growth of e-Learning over the past few years, learning objects have come into their own. They are the component units of e-Learning, and in principle can ...

Over the past several years, there has been an increasing interest in the biological phenomena of symbiosis by those in complex adaptive systems and evolutionary computation. We describe in this paper some of the caveats involved in modeling or using biological symbiosis as a computational metaphor. We specifically consider some of the common philosophical viewpoints on symbiosis and comment on...

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...

Development of theoretically sound methods and strategies for informed science and innovation policy analysis is critically important to each nation's ability to benefit from R&D investments. Gaining deeper insight into complex social processes that influence the growth and formation of scientific fields and development over time of a diverse workforce requires a systemic and holistic view. A r...

Building on results from data compression, we prove nearly tight bounds on how well sequences of length n can be predicted in terms of the size σ of the alphabet and the length k of the context considered when making predictions. We compare the performance achievable by an adaptive predictor with no advance knowledge of the sequence, to the performance achievable by the optimal static predictor...

1. INTRODUCTION The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or non-self substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical

This piece synthesizes the development strategies of Korea, Malaysia, Thailand and Vietnam and draws some relevant lessons. Using a complex adaptive systems approach, strategic openness, a set of heterodox macroeconomic policies, creation of institutions for productive investment in both agriculture and industry, avoidance of severe inequalities and political conflict, special initial condition...

This piece synthesizes the development strategies of Korea, Malaysia, Thailand and Vietnam and draws some relevant lessons. Using a complex adaptive systems approach, strategic openness, a set of heterodox macroeconomic policies, creation of institutions for productive investment in both agriculture and industry, avoidance of severe inequalities and political conflict, special initial condition...

1. INTRODUCTION The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical