\label{sec:ww}
To further evaluate our computational framework in usage, in this section we develop a thought experiment in system design, based on a novel computational scenario where there is high potential for serendipity. As discussed above, sociological factors can influence serendipitous discoveries on a social scale. In our two case studies, user input played a significant role. The exploitation of social creativity and feedback can create scenarios where serendipity could occur within a computer system as well.
In \cite{corneli2015computational}, we described the preliminary designs for multi-agent systems that learn by sharing work in progress and discussing partial understandings. Following we define a Workshop to be an activity for two or more agents consisting of the following steps: presentation, listening, feedback, questions, and reflections. In general, the first and most important feature of feedback is for the listener to say what they heard; in other words, what they find in the presented work. In some settings this is augmented with suggestions. After any questions from the author, the commentators may make replies to offer clarification.
The key steps map quite conveniently into the schematic description of serendipity that we introduced in Section \ref{sec:our-model}: