Dealing with complexity in knowledge sharing processes

In a context of complex problem spaces, human individuals need support to carry out indepth inquiry, generating many, diverse possibilities, without suffering from information overload. In earlier work, we have demonstrated the potential of a model of four-valued logic to provide support in a knowledge sharing environment by codifying, not knowledge, but categories of argument/assertion. In this paper, we extend the application of our model to a second order. In the first application, individually-created narratives are categorised according to four-valued logic: assertions of positive belief in alternatives, negative belief in alternatives, possibility of alternatives or ignorance of any alternative. A second order is illustrated through an example in which all assertions of positive or optimistic possible belief are considered by participants. The model is applied in order to identify clusters of narratives which appear to have characteristics in common, by creation of diversity networks. In this way, a more focused agenda for debate can be supported to emerge.