ii Acknowledgements iii

The majority of educational software is designed for traditional computers, which allow little opportunity for physical manipulation of an environment. Tangible Activities for Geometry (TAG) provides students a tangible learning environment. Currently, however, TAG does not employ adaptive scaffolding techniques. Accordingly, we describe how scaffolding techniques and teachable agent behaviors ...

While by all standards the macroeconomic system is qualified to be a complex adaptive system, mainstream macroeconomics is not capable of demonstrating this feature. Recent applications of agent-based modeling to macroeconomics define a new research direction, which demonstrates how the macroeconomic system can be modeled and studied as a complex adaptive system. This paper shall review the dev...

We propose the Adaptive Leadership Framework for Chronic Illness as a novel framework for conceptualizing, studying, and providing care. This framework is an application of the Adaptive Leadership Framework developed by Heifetz and colleagues for business. Our framework views health care as a complex adaptive system and addresses the intersection at which people with chronic illness interface w...

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...

In this paper, we provide a general purpose simulation framework for complex adaptive systems. Our framework will deal with a number of important criteria including self-organization, emergence, and others. We then show that the framework can capture the common underlying structure of complex adaptive systems through demonstrating its application in specific biological domains.