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 ...

Nowadays much emphasis is given to innovative procurement in the road construction sector. However, typical discussions about it do not focus on all the stakeholders involved in the process and all aspects. However, one cannot forget that procurement is a complex system, and everyone’s perspective is important for success. This paper looks at the worldviews of stakeholders in the road construct...

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...

In this paper we examine the application of a Complex Adaptive System (CAS) on studying the relative organizational effectiveness of Centralized and Decentralized Retail Chains. The criterion for the evaluation of this effectiveness is the rate of creation of new (innovative) ideas, related to management policies and practices, by the Shops of the Chain, which are the agents of the CAS Model. T...

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 ...

Adaptive organisation-centred multi-agent systems can dynamically modify their organisational components to better accomplish their goals. Our research line proposes an abstract distributed architecture (2-LAMA) to endow an organisation with adaptation capabilities. This paper focuses on regulationadaptation based on a machine learning approach, in which adaptation is learned by applying a tail...

The COVID-19 pandemic has forced universities worldwide to deliver emergency remote online teaching and learning. This study analyses practices at a globally ranked Australian university. These were adopted develop connection with students in the absence of face-to-face Complex adaptive system theory is applied, mixed research method examine evolution classroom understand behaviour as process s...

In this paper, we introduce a new hyperchaotic complex T-system. This system has complex nonlinear behavior which we study its dynamical properties including invariance, equilibria and their stability, Lyapunov exponents, bifurcation, chaotic behavior and chaotic attractors as well as necessary conditions for this system to generate chaos. We discuss the synchronization with certain and uncerta...

Proteomic study of the synapse has generated an extensive list of molecular components, revealing one of the most complex functional systems currently known to cell biology. While fundamental to neural information processing, behaviour and disease, the molecular organisation of the synapse and its relation to higher-level function has yet to be clearly understood. Neurotransmitter receptor comp...