书目名称 | Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal,Contextual and Causal Inference | 编辑 | Ben Goertzel,Nil Geisweiller,Cassio Pennachin | 视频video | | 概述 | The book gives the first accessible, reasonably comprehensive and unified review of the various existing approaches to any of spatial, temporal or contextual logic.The book breaks new research ground | 丛书名称 | Atlantis Thinking Machines | 图书封面 |  | 描述 | The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations. | 出版日期 | Book 2011 | 关键词 | Artificial Intelligence; Knowledge bases; Logic | 版次 | 1 | doi | https://doi.org/10.2991/978-94-91216-11-4 | isbn_softcover | 978-94-6239-053-9 | isbn_ebook | 978-94-91216-11-4Series ISSN 1877-3273 Series E-ISSN 1877-3281 | issn_series | 1877-3273 | copyright | Atlantis Press 2011 |
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