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Early versions of systems theory assumed that systems could be 'optimized' to a single condition. CAS analysis assumes that more than one system state can satisfy optimizing criteria, and so the system is able to gravitate to multiple equilibria. Learn More about Multiple Equilibria →
Lid milk single shot bar robusta milk, cream, beans as cultivar café au lait aftertaste saucer. Dark, cortado, est, coffee fair trade extra cortado turkish, variety. Learn More about Dynamic Interactions →
Complex Systems are generated from the local interactions of multiple AGENTS. These agents are not actively striving to achieve any form of 'global' structure or pattern, but simply behave in their own self interests. Hence, we describe CAS dynamics as being generated from 'the bottom up' as opposed to 'the top down' as would be the case in traditional hierarchical organizations. Learn More about Bottom-up →
Complex systems do not follow linear, predictable chains of cause and effect. Instead, system trajectories can diverge wildly into entirely different regimes. The moments in time when a system splits into different, but equally probable trajectories is referred to as a system bifurcation. Learn More about Bifurcations →
The building blocks of a complex adaptive system. Learn More about Agents →
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