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ISSUE 176 : Jul/Aug - 2008 - Australian Defence Force Journal

ISSUE 176 : Jul/Aug - 2008 - Australian Defence Force Journal

ISSUE 176 : Jul/Aug - 2008 - Australian Defence Force Journal

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CAS thinking is central to two modern military concepts closely connected to C2: Network<br />

Centric Warfare (NCW) and Effects-Based Operations (EBO). Both of these involve systems<br />

and systems-of-systems that have the building blocks and properties of CAS. NCW relies on<br />

understanding how the increased flow of information between different components within a<br />

force can improve effectiveness. At the heart of EBO is the requirement to understand yourself,<br />

the adversaries, and other players as interacting systems and devise the most useful actions<br />

to produce the desired outcomes. Thus, for the ADF to make these concepts operational and<br />

useful for C2, an understanding and application of CAS thinking is important.<br />

What are the relevant CAS concepts?<br />

The current understanding of CAS identifies a number of concepts and issues of interest to<br />

future C2. While some of these could be deduced from other disciplines—such as strategic<br />

thinking, management science, organisational behaviour and military analysis—these<br />

commonalities simply emphasise the applicability of the study of CAS to military affairs.<br />

Perhaps the most basic description of a CAS is that it consists of a number of heterogeneous<br />

entities and relationships that dynamically interact. One key feature of these relationships is<br />

that they are nonlinear, that is, a given input may produce anything from a disproportionately<br />

large effect to no effect at all and this may change over time. 5 Another feature is that many<br />

of these relationships combine to form feedback loops, which means that a single cause will<br />

produce effects that propagate and return to impact the original causation in some way.<br />

Holland defines a framework that outlines seven key properties and/or mechanisms of complex<br />

adaptive systems as part of his work on genetic algorithms (Holland 1995): aggregation, building<br />

blocks, diversity, nonlinearity, tagging, flows and internal models. This means of characterising<br />

CAS has been particularly useful for computer simulation of evolutionary systems. Axelrod and<br />

Cohen extend on the themes of Holland with a focus on organisational systems as complex<br />

adaptive systems. They are particularly concerned with three key processes in CAS—variation,<br />

interaction and selection—which they regard as ‘interlocking sets of concepts that can generate<br />

productive actions in a world that cannot be fully understood’ (Axelrod & Cohen 1999).<br />

What we are interested in are the resultant features of CAS that practitioners must deal<br />

with: the effects of complexity—essentially the phenomenology—rather than the underlying<br />

mechanisms that may produce them. This is not a better view, simply a different view focused<br />

upon behaviours of principal concern to the practitioner. We are interested in articulating<br />

and discussing what the military commander actually sees and providing a lens with which<br />

to comprehend it.<br />

Characteristic features of complex systems<br />

We argue that there are three key phenomena of complex systems: continual Change, persistent<br />

Patterns and irreducible Uncertainty. These concepts are, to a degree, interrelated, but they<br />

are treated distinctly for the purposes of clarity.<br />

60

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