Page 100 - IRMSA Risk Report 2020
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Let’s look at what complexity is and isn’t. Contrary to popular belief, complexity is not just “a higher order of complicated-
            ness”.  Often it is referred to as an adverse condition, something to be simplified or avoided. When in reality, complexity is
            not good or bad, it simply is – and how we manage in complexity is different to how we manage in other contexts.

            Human beings are complex; we live our lives in complex social structures embedded in complex adaptive systems
            like cities, organisations, and ecosystems. Our approach to managing risk in these socio-technical, socio-ecological,
            and so-cio-economic systems requires new skills and new ways of thinking. Let us explore the differences between
            complex and complicated systems. Roberto Poli articulates the main differences between complicated and complex as
            follows:


                       COMPLICATED SYSTEMS                                COMPLEX SYSTEMS

                                                             Because we are dealing with patterns arising from networks
              Linear cause-and-effect pathways allow us to identify specific   of multiple interacting (and interconnected) causes, i.e. there
              causes for observed effects.
                                                             are no clearly distinguishable cause-and-effect pathways.
                                                             Must be addressed as entire systems; they cannot be reduced
                                                             to their parts.  One cannot assume that one structure has one
              Can be addressed piece by piece, i.e. they can be reduced to   function as the structural parts of the system are multifunc-
              their parts.  We can decompose the system into its structural   tional, i.e. the same function can be performed by different
              components and fully understand the functional relation-  structural components.  These parts are also richly inter-re-
              ships between these parts in a piecemeal way.  lated, i.e. they change one another in unexpected ways as
                                                             they interact.  We can, therefore, never fully understand these
                                                             inter-relationships.
                                                             Outputs are not proportional or linearly related to inputs;
              Every output of the system has a proportionate input i.e.   small changes in one part of the system can cause sudden
              Newtonian physics apply.                       and unexpected outputs in other parts of the system or even
                                                             system-wide reorganisation.
                                                             Complex problems present as emergent patterns resulting
                                                             from dynamic interactions between multiple non-linearly
                                                             connected parts.  In these systems, we’re rarely able to distin-
              Systemic contexts and interactions can be controlled, and the
              problems they present can be diagnosed and permanently   guish the real problem, and even small and well-intentioned
                                                             interventions may result in unintended consequences.  They
              solved.
                                                             cannot be controlled –the best one can do is to influence
                                                             them or learn to “dance with them” as Donella Meadows
                                                             rightly said.
                                                             Complex systems are open systems, to the extent that it is
              Complicated systems are closed systems, i.e. their environ-  often difficult to determine where one system ends, and an-
              ments are delimited by governing constraints that allow the   other starts.   Complex systems are also nested; they are part
              system to interact only with selected or approved types of   of larger-scale complex systems, e.g. an organisation within
              systems.                                       an industry within an economy.  It is therefore impossible to
                                                             separate the system from its context.
                                                             A complex system can never be fully known or modelled. I
                                                             think it was the physicist Murray Gellman that said: “The only
              These systems, because they are closed and can be decon-  valid model of a complex system is the system itself.”   We
              structed, can be fully known or modelled.      cannot transform complex systems into complicated ones by
                                                             spending more time and resources on collecting more data or
                                                             developing better theories.
              Complicated systems need an external force to act on them   Complex systems can observe themselves, learn and adapt.
              to introduce change.                           They are creative.

                “ D E C I   S I O N - M A K E R S   C O M M O N LY       M I S TA K E     C O M P L E X

              S Y S T E M S    F O R   S I M P LY    C O M P L I C   AT E D     O N E S   A N D    L O O K
             F O R   S O L U T I O N S    W I T H O U T     R E A L I S I N G   T H AT    ‘ L E A R N I N G
               T O   D A N C E ’   W I T H   A   C O M P L E X     S Y S T E M   I S  D E F I N I T E LY
                                              ‘
               D I F F E R E N T   F R O M S O L V I N G ’       T H E   P R O B L E M S    A R I S I N G
                                                     F R O M    I T.”


                                                    R O B  E R T O  P O L I


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