In this module we will be looking through the lens of adaptive systems theory to see what insight it can offer us on macro-social phenomena. Firstly we talk about adaptation as a process through which an agent tries to change its state in response to some change within its environment. We will give an outline to the adaptive landscape, that can be used as a formal model for representing whole complex social systems consisting of many interacting agents.
<p>We will then go on to talk about the degree of complexity to an adaptive landscape as a key parameter. Finally we look at how the agent's strategies need to change fundamentally in response to these changes in context, as they go from simple algorithms to adaptation and evolution.
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<bdo lang="en" dir="ltr"><a href="//commons.wikimedia.org/wiki/Commons:YouTube_files" title="Commons:YouTube files">YouTube</a>: <a rel="nofollow" class="external text" href="https://www.youtube.com/watch?v=usuwPPOVbhE"><bdi lang="">Social Complexity 14: Complex Adaptive Systems</bdi></a> – View/save archived versions on <a rel="nofollow" class="external text" href="https://web.archive.org/web/*/https://www.youtube.com/watch?v=usuwPPOVbhE">archive.org</a> and <a rel="nofollow" class="external text" href="https://archive.today/https://www.youtube.com/watch?v=usuwPPOVbhE">archive.today</a></bdo>