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 ...

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...

Towards the end of the 20 century, a paradigm shift took place in many scientific labs. Scientists embarked on a new form of scientific inquiry seeking to understand the behavior of complex adaptive systems that increasingly defied traditional reductive analysis. By combining experimental methodology with computer-based simulation tools, scientists gain greater understanding of the behavior of ...

This paper explores the implications of the incompressibility of complex systems for the analysis and modelling of such systems. In particular, a provisional epistemology will be developed that attempts to remain faithful to the limitations derived from this aspect of complexity science. We will argue that such an investigation of complex systems highlights the relevance of paradigmatic plurali...

This paper intends to analyse the problem of longevity of technology based competitive advantages for logistics service providers, as it is important from the view of investment theory. Autonomous co-operation technologies are illustrated as an example for technologies that can lead to competitive advantages for companies within international supply networks. However, suchlike technologies can ...