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Managing conversational streams by explorative mind-maps

机译:通过探索性思维导图管理对话流

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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 A1,2 and B1,2 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.
机译:在本文中,我们介绍了在自然对话的情况下探索性的但自适应联想的信息管理系统。我们利用探索性思维导图的优势,该思维导图已在[10]中进行了演示,并且完全是一个管理框架,该管理框架从它所获得的数据输入流中自动出现。探索性思维导图是基于自然范式的非验证性但动态的系统:它不断改变其复杂性,并根据内部激活状态培养符号细胞。通常,该结构反映了一种精神状态,一旦刺激减少,相关事实的遗忘就会到达。考虑两个对话伙伴A和B的两个思维导图A 1,2 和B 1,2 ,则思维导图* 1 表示自我对话和* 2 对话对方的对话流。如果我们合并这些思维导图,则可以将即将得到的结果应用到信任的计算中。

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