Theoretical study of complex systems receives more and more attention as most sciences broaden their perspectives. The paper first briefly overviews a few important complexity approaches, then it presents a triple-level model for describing and analyzing collaborating enterprises. The environment is treated as a stochastic process, the core topology of the collaboration is represented by a grap...

Complex adaptive systems (CAS) consist of many interacting and adapting components. Echo is a computational CAS model in which evolving agents are situated in a resource-limited environment. Different views of the notion of species within Echo are compared to biological experiments on relative species abundance, specifically to Preston's "canonical" lognormal distribution. To appear in: Complex...

Some of the most obvious complex adaptive systems are biological. A key concern in biology is how the overall properties of systems relate to the behavior of their components. Competition between these components in the form of an arms race, the “Red Queen effect”, for example, helps explain the trend towards more complex organisms, perhaps the most dramatic of macroevolutionary trends. The Red...

This article is interested in how efficiently individuals can use available information, and if this will translate into efficient outcomes at the market level. Our use of available information in markets is further specified by evolutionary psychology and behavioral ecology, which extend core theory and evidence in behavioral finance throughout the reviewed literature. The survey of the social...

These questions concern apparent fundamental properties of living systems|properties which, furthermore, seem to be shared by many other complex adaptive systems, such as the global economy. It is especially hard to address these questions, largely because they concern the global emergent behavior of overwhelmingly complex systems. One way to pursue answers is with a certain sort of unrealistic...

This report presents a conceptual framework for multi-level modeling of complex sociotechnical systems, provides linkages to the historical roots and technical underpinnings of this framework, and outlines a catalog of component models for populating multi-level models. This includes a description of the “systems movement,” a summary of philosophical underpinnings, a review of seminal concepts,...

Goal based systems have seen increasing interest in complex, adaptive systems. While there are a number of approaches to eliciting goal-based requirements and to using goals at runtime, there are no frameworks that use goals for requirements while providing a direct mapping to goals used to drive the system at runtime. The Goal Model for Dynamic Systems (GMoDS) presented in this paper allows a ...

Introduction Due to the advancement in computer technology, the computer systems have become widespread and complex. This complex arrangement of the system results into a complex adaptive system (CAS). A huge increase in the scale and complexity of the systems have been observed (Niazi and Laghari 2012) since from last few years. CAS exists in different forms. The management of such systems is ...

This paper presents a learning and teaching strategy based on complexity science and explores its impacts on a higher education game design course. The strategy aimed at generating conditions fostering individual and collective learning in educational complex adaptive systems, and led the design of the course through an iterative and adaptive process informed by evidence emerging from course dy...