Managing conversational streams by explorative mind-maps

In this paper, we introduce an explorative but adaptive-associative information management system in the presence of a natural conversation. We take advantage of explorative mind-maps, which have been demonstrated in [10] and which are altogether a management framework that emerges automatically from the data input stream it gets. An explorative mind-map is a non-verificative but dynamic system that basis on the natural paradigm: it changes its complexity continuously and fosters symbolic cells according to internal activation states. Generally, the structure mirrors a mental state where the oblivion of associated facts arrive once the stimulation decreases. Considering two mind-maps A_1,2 and B_1,2 for two conversational partners A and B, the mind-map _*1 represents the self-conversation and _*2 the conversational stream of the conversational partner. If we merge these mind-maps, we may apply the out-coming results for the computation of trust.