Collective Adaptive Systems (CASs) are comprised of a heterogeneous set of components often developed in a distributed manner. Their users are diverse with respect to their profiles, preferences, interests and goals, and hence, have different requirements. We propose a typology for the diversity of these components, users, and their requirements. We then present a methodology which provides ste...

Computer algebra systems (CASs) and automated theorem provers (ATPs) exhibit complementary abilities. CASs focus on efficiently solving domain-specific problems. ATPs are designed to allow for the formalization and solution of wide classes of problems within some logical framework. Integrating CASs and ATPs allows for the solution of problems of a higher complexity than those confronted by each...

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 ...

The long term goal attaining of economic system management requires the establishment of a dynamic framework to integrate multiple perspectives. This article considers the problem of economic development in macro level. As economic systems are complex adaptive systems composed of numerous numbers of components of dynamic and multidimensional nature, dynamics method is applied in this research. ...

There are two dominant approaches to describe and understand the anatomy of complete health and well-being systems internationally. Yet, neither approach has been able to either predict or explain occasional but dramatic crises in health and well-being systems around the world and in developed emerging market or developing country contexts. As the impacts of such events can be measured not simp...

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Complex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper sugg...

E Abstract The study of complex adaptive systems, a subset of nonlinear dynamical systems, has recently become a major focus of interdisciplinary research in the social and natural sciences. Nonlinear systems are ubiquitous; as mathematician Stanislaw Ulam observed, to speak of "nonlinear science" is like calling zoology the study of "nonelephant animals" (quoted in Campbell et al. 1985, p. 374...