A basic problem with complexity is that we would like to characterize all complex systems both verbally and mathematically and do so in a clear, concise and distinctive manner, as do scientists with many of the systems found in other fields. Such characterizations are necessary if we are to distinguish complex systems from other kinds of dynamical systems, influence their functioning, forecast ...

Arguments are presented suggesting that aging in mammals is the result of a complex life span regulation system that evolved because life span limitation produces direct evolutionary benefit. This concept, if valid and pursued, could have a significant effect on efforts to combat aging processes by providing additional targets for potential intervention. A complex life span regulation system im...

Software itself is very complex and studying its failure is much more complex. Complexity is a relative concept and defining complexity in software failure is chaotic in nature. Software failure of complex systems and understanding the complex system needs some sort of theoretical support for analyzing the nonlinearity in the system. Complex systems have attributes like subsystems, composed of ...

If we assume that much of what we see around us is the result of underlying nonlinear processes then it follows that much of what we think we see is no more than a fi ltered version of a temporary pattern that will inevitably change both quantitatively and qualitatively. The aim of this chapter is to explore what it means to exist, or not, in terms of complexity theory. It is argued that the na...

Over the last two decades, use of mobile communications for emergency services (e.g. 911) has grown exponentially. This rise of mobile networks has increased reliance on new private and public partnerships to deliver these time critical services. Drawing upon complex systems theory and Interorganizational Systems (IOS) dynamics, a framework is developed for investigating technology, organizatio...

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...

This paper describes a new approach to intelligent model based predictive control scheme for deriving a complex system. In the control scheme presented, the main problem of the linear model based predictive control theory in dealing with severe nonlinear and time variant systems is thoroughly solved. In fact, this theory could appropriately be improved to a perfect approach for handling all com...

We present a review of complex systems research which focuses on their similarities with self-organizing living systems. We classify the types of complex systems that relate to self-organisation and we discuss the overall requirements for self-organising modeling. As a novelty, the paper proposes a methodology to aid engineers in the design and control of adaptive complex systems. The methodolo...

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...