Artificial life & Complex systems
Bio-phenomena approaches to solve complex problems
Over the last 20 years there has been a rise in technology use and an increase in interconnectedness and interdependence in all aspects of our lives, from our social networks to supply chains and economies. Traditional linear “cause and effect” thinking, that worked in a simpler world no longer works in today’s dynamic, unpredictable and multi-dimensional world.
“Complex” systems are characterised by heterogeneous components, or agents, interacting with each other, leading to emergent behaviour. In a complex system, the same starting conditions can produce different outcomes, depending on the interactions of the elements in the system.
“The whole is greater than the sum of its parts”
Using agent based modelling, simulations and complexity science, we seek to better understand the complex problems that challenge all businesses today.
"Complex systems—business process workflows, for example, or the way customers move through a store—are hard to understand, much less fix, if you can’t first see them.” - Harvard Business Review
We use algorithms inspired by natural bio-phenomena, such as the flocking of birds, schooling of fish, ants foraging, the crossover and mutation of DNA, fireflies synchronising their lights, and others, to solve increasingly complex problems for which traditional methods are not effective.
“Life finds a way” - Dr. Ian Malcolm
Artificial life, complexity and emergence are ongoing areas of both research and applied development being implemented in live client projects.