![]() Positive Feedback Loop: couple crisis escalationĪn interesting example that explains certain escalation dynamics in the tense relationship of a couple, is also useful to explain the so-called endogenous perspective introduced by Systems Thinking, as opposed to the “exogenous” perspective, for which a problem is always seen as motivated and due to causes that are external to the system (or our context of relevance – i.e.: our company is not working due to market problems). Here are some examples related to systems that we encounter in our everyday life and that explain how to see such systems (or situations) under a systemic perspective. ![]() To do this, there is a graphic convention and a "visual language" that facilitates understanding and communicating how the system works: causal loop diagram (Cavana & Mares, 2004). Our mind has been prepared (through years of such an approach from the early school years) to seek and understand causal relationships only through linear sequences of cause and effect thus, circularity makes us lose our bearings: comes the chicken or the egg first?īy now we know that the behavior of a system is determined by the systems’ structure, so studying such a structure and identifying the existing feedbacks and distinguishing the types of feedback in a system constitutes a first step in understanding a system’s behavior. Such circularity is at the root of the non-linearity and complexity of systems’ behavior hence, it constitutes the greatest difficulty when trying to fully understand how a system works. We have also hinted to the fact that we live our lives while continuously immersed in or dealing with a multiplicity of systems and very often interact with systems that display circular causal relationships (feedback loops).Īs already explained, feedback occurs when a consequence of an action comes to (retroactively) influence the action itself (the cause). We have been speaking so far of how to think systemically and/or how to explore the connection between behavior and structure in complex systems.
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