From Conceptual Mash-ups to Bad-ass Blends: A Robust Computational Model of Conceptual Blending
From Conceptual Mash-ups to Bad-ass Blends: A Robust Computational Model of Conceptual Blending
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从概念混搭到糟糕的混合：概念混合的鲁棒计算模型
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发表时间：
2012
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通讯作者：
T. Veale
中科院分区：
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作者：
T. Veale
概念合成是一种复杂的认知现象，其实例从单调到复杂都有。最值得注意的是，我们人类经常很容易地理解和生产复杂的混合物。虽然在未来的一段时间里，这个工具无疑会避开我们在计算建模方面的最大努力，但目前有一些实用的概念融合形式可以用于计算开发。在本章中，我们介绍了概念混搭的概念，这是一种健壮的混合形式，允许计算机创造性地重用和扩展其现有的主题常识知识。我们还展示了如何通过针对我们每天向自己和他人提出的随意问题，从网络上自动获取此类知识的存储库。通过从别人的问题中获取世界知识，计算机最终可以学会提出自己的内省问题，为自己的创造性混搭服务。
Conceptual blending is a complex cognitive phenomenon whose instances range from the humdrum to the pyrotechnical. Most remarkable of all is the ease with which we humans regularly understand and produce complex blends. While this facility will doubtless elude our best efforts at computational modeling for some time to come, there are practical forms of conceptual blending that are amenable to computational exploitation right now. In this chapter we introduce the notion of a conceptual mash-up, a robust form of blending that allows a computer to creatively reuse and extend its existing commonsense knowledge of a topic. We show also how a repository of such knowledge can be harvested automatically from the web, by targeting the casual questions that we pose to ourselves and to others every day. By acquiring its world knowledge from the questions of others, a computer can eventually learn to pose introspective questions of its own, in the service of its own creative mash-ups.