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Seeing Systems: A Conceptual Resource

Ned O'Gorman, Jessica Robinson, Paul McKean, Matt Pitchford, Mary Grace Hebert, Ned Prutzer, Sally Jackson, Jessica Landau, Jeffrey Proulx, Melissa Seifert, Natalie Lambert, Kristina Williams, Gabe Malo, elizaBeth Simpson, Fabian Prieto-Nanez, Nikki Weickum, Kevin Hamilton, Authors

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Information

According to Poole, "In terms of information theory, information is “a change in an observer’s state of uncertainty caused by some event in [his or her] world” (Krippendorff, 2009, p. 242). The uncertainty in question is related to a set of possible states of the world, and information increases the probability that one or more of these states is the case compared to the others. Information flow through systems enables them to coordinate activities and regulate themselves" (52).

This last concept of "information flow" dovetails nicely with Meadow's description of feedback loops and stocks. Because the information of stock levels (increasing, decreasing, etc) causes a particular reaction, we can understand how loops tend to reinforce or limit particular actions and behaviors within the system itself – especially behaviors that are not necessarily expected.

SEE FEEDBACK LOOPS AND STOCKS. Should this be a path or a link?
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