Complex systems are ubiquitous in today’s world and they experience serious issues caused by emergent behavior, self-organization, and cooperation among their entities. Emergence becomes a distinguishing system feature as system complexity grows with the number of components, interactions and connectivity. Example of emergent behaviors include the flocking of birds, traffic jams, ant colonies, biological life, hubs in social networks, competition in energy power markets, smart grids, and smart cities among others. Despite significant research interest in recent years, there is a lack of formal methods to understand, identify, and predict the behavior of complex systems, especially as systems grow in size, inter-connection between components, the number of component attributes and their geographical distribution.
This project looks at practical approaches for the computer-aided analysis of current complex systems, with a focus on obtaining insight into their behavior.
Project leader: Dr Claudia Szabo.
Alexis Pfaulm joins the group as a PhD student. Welcome, Alexis!
Our paper, Identifying Self-Organization And Adaptability In Complex Adaptive Systems has been accepted for publication at SASO 2017. Authors: L. Birdsey, C. Szabo, K. Falkner Abstract: Self-organization and adaptability are critical properties of complex adaptive systems (CAS), and their analysis provides insight into the design of these systems, consequently leading to real-world advancements. However, these properties […]
Dr Javier Alvarez receives his PhD with a thesis entitled Adaptive Anomalous Behavior Identification in Large-Scale Distributed Systems. Dr Alvarez’ thesis also receives a Dean’s Commendation for Research Excellence. Thesis abstract: Distributed systems have become pervasive. From laptops and mobile phones, to servers and data centers, most computers communicate and coordinate their activities through some kind of […]
Our paper, Simulating the Effect of Degraded Wireless Communications on Emergent Behavior, has been accepted for publication in the Winter Simulation Conference 2017. Authors: B. Fraser, R. Hunjet, C. Szabo Abstract: Most swarming algorithms require individual nodes to know the locations of their nearest-neighbor peers. Existing work assumes that this information is abundant and readily available, however, […]
C.Szabo, DST Group, $91,698 The aim of this project is to design and implement a prototype for the effective integration of ISR information at the tactical edge. Specifically, this project will research and develop a prototype that demonstrates the viability of employing a computational, distributed intelligence that will adapt information dissemination priorities according to the […]
Our paper has been accepted for AAMAS 2017! Title: Large-Scale Complex Adaptive Systems Analysis using Multi-Agent Modeling and Simulation Authors: L. Birdsey, C. Szabo, K. Falkner Abstract: Modeling and analysis of large-scale complex adaptive systems (CAS) is critical to understanding their key properties such as self-organization, emergence, and adaptability. These properties are difficult to analyze in real-world […]
This is the first in a series of posts that discuss Complex Adaptive System theory, research, features, and other interesting aspects. This post focuses on the basics of complex adaptive systems, how they exist in reality, and why their study is valuable. Complex adaptive systems exist in every facet of life. From the more foundational […]
Claudia Szabo, the Complex Systems project leader will be pitching research ideas during the Land Forces 2016 conference. Come and find her to discuss ways of best modeling human interactions (both in person and online) in areas of conflict, to best identify emerging unwanted behaviors! The work builds on the group’s modeling of complex systems […]
Scott Bourne’s PhD thesis was recognised by Dean’s Commendation for Doctoral Thesis Excellence. Co-supervised by Prof. Michael Sheng and Dr Claudia Szabo, Scott’s PhD project focuses on developing novel solutions on formal validation of service-based business processes based on model checking techniques. The result has the potential to be applied in mission-critical applications (e.g., defence) […]
Self-organisation is one of the key properties of complex systems yet automated tools to identify it have yet to be applied to systems other than toy models such as the Game of Life. Lachlan’s work is looking at implementing system complexity, Chan’s interaction metric, limited bandwidth recognition, de-centralised emergence detection and multi-scale Shannon entropy. His experiments […]