Complex Project Systems of Systems Emergent Behaviour Phenomenon

Date: 30 November, 2021
Time: 12:00pm-1:00pm AEDT
Registrations close: 29 November, 2021 or when fully booked
Format: Webinar – Delivered Online
Speaker: Aleksandar Seizovic


In the event that this webinar is full, please register your interest via the waitlist form.
This webinar stems from Aleksandar Seizovic’s research featured in the ICCPM Research Support Program.


Many techniques exist to detect emergence. Some techniques may be more appropriate than others. These types of conditions are perhaps best tackled using an emerging strategy. Miller and Olleros (2000) argued that successful projects are not selected—they are shaped. Some generic examples of failure modes by Meier (2008) looked at projects within the U.S. Federal Intelligence and Defence agencies. He found a number of particular early warning signs that occurred frequently in these projects. Complex projects are characterised by unforeseen emergent behaviour and chaotic projects are where the relationships between cause and effect are impossible to determine. Others such as Sheffield et al, (2012) and Snowden & Boone (2007) also refer to complicated and dynamic projects.


This webinar aims to investigate various theories and elements that are and can be relevant to system emergent behaviour in complex systems of systems (SoS). Therefore, basic theory and research on judgment, decision, and choice are the starting points for the general Systems of Systems (SoS) framework. This webinar explores the reduction/elimination of negative emergent behaviour in systems of systems used to minimise the occurrence of failure in complex engineering projects.

  • Emergence appears in different forms (positive/negative) and shapes (types) in a variety of systems from simple to the most complex. Thus, there is a need for a mechanism that provides a structured approach for analysis and control of such behaviours. We address this issue by proposing a framework for exploration of emergent behaviours in a multi-agent system.
  • The ability to interact with, and expand the capabilities of, the physical world through computation, communication, and control is a key enabler for future technology developments. Opportunities and research challenges include the design and development of next-generation airplanes and space vehicles, hybrid gas-electric vehicles, fully autonomous urban driving, and prostheses that allow brain signals to control physical objects.
  • There is no evidence of the emergent behaviour present in constituent systems that support the systems designs. Combinations of systems operating together within the system of systems contribute to the overall capabilities. Combining systems can lead to emergent behaviours which may either improve performance or degrade it and can decrease or increase costs.
  • To establish the theoretical framework for modelling and simulation, it is necessary to first establish the taxonomy of emergent behaviours, which is not clear.


Aleksandar Seizovic is currently an Engineers Australia Associate Fellow and a candidate for a Doctorate in Professional Engineering (research) at USQ with a USQ Postgraduate Research Scholarship 2021 – 2022.

Aleksandar has over 35+ years’ experience identifying, building, analysing and implementing processes and systems that add continuous improvement to the engineering and business organisations. He has propelled and energised business through management and operational excellence across the various business and engineering industry sector with a high level of versatility and motivation. Aleksandar served in Royal Australian Navy Submarine service with distinction and honour and is awarded military medals for his near 25 years of service.


  • Fee: FREE