Complex System Research and Development Summary


What does "climate change", cancer and social-economic collapse all have in common? They are all the consequences of interactions within and in between complex systems. Our lack of understanding of how complex systems interact is the reason why we are having so many crises. It is crucial, then, for us to gain a deeper understanding of how systems interact so that we can overcome our challenges, prevent our extinction and continue on our path towards greater levels of evolution.



Complex System Research

Research of Complex Systems requires a deep knowledge in a wide range of disciplines. For that reason, I have focused my research on the underlying patterns that are common to all disciplines, namely, universal patterns of interaction. Knowledge of these universal patterns creates an interdisciplinary language which speeds up interdisciplinary communication and maintains interdisciplinary congruency of information.



Complex System Management and Development

The crises that we face are advanced and we need new systems that are capable of fast and precise management of complex systems. In addition, management of complex systems requires fast collection of data and implementation of decisions. For that reason, we need to use technology to quickly measure systems and implement required modifications. In order for these systems to solve our problems they must be able to receive our input, collect data from our environment and implement modifications.



Smart Collaborative Social-Economic Systems

My research has led me to the conclusion that we have created the crises we are facing and that we are able to overcome those crises by modifying our social-economic systems. The heart of the problem is that our technological systems have evolved far faster than our social-economic systems and our psychological capacity to interact with one another and our environment through our technological systems. The solution is to develop new social-economic systems that enable us to interact with each other and our environment more effectively. This would greatly reduce our collective amount of wasted resource and time while greatly increasing the distributed per capita benefit of our social-economic systems.


Smart Collaborative Social-Economic Systems would enable us to democratically own and control all the systems we need to survive while maximizing the automation of data collection and implementation required to manage complex systems. In order to achieve that, I have modeled the physical hardware systems and the abstract software systems based on both ecological systems and our neurological systems. In addition, all systems are based on the principles of evolution and interaction which I have researched.