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Titlebook: Dynamic Worlds; From the Frame Probl Remo Pareschi,Bertram Fronh?fer Book 1999 Springer Science+Business Media Dordrecht 1999 intelligent s

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書目名稱Dynamic Worlds
副標(biāo)題From the Frame Probl
編輯Remo Pareschi,Bertram Fronh?fer
視頻videohttp://file.papertrans.cn/284/283805/283805.mp4
叢書名稱Applied Logic Series
圖書封面Titlebook: Dynamic Worlds; From the Frame Probl Remo Pareschi,Bertram Fronh?fer Book 1999 Springer Science+Business Media Dordrecht 1999 intelligent s
描述Reasoning is an integral part of intelligent systems in fieldslike databases, logic programming, robotics, knowledge engineering,human/computer interfaces, programming environments, etc. In realityany such system has to cope with a changing world and its dynamics.Hence it is of great importance that reasoning must account for copingwith change in order to be truly useful in practice. .The book comprises several contributions to current ways ofapproaching this problem. On the one hand it surveys and synthesizesrecent research work, while on the other hand new research results areincluded. Among the topics treated are logics for reasoning aboutactions and planning, belief revision and the reconciliation oflogically conflicting inputs, resolving of conflicts by merging ofknowledge and issues in the evolution in object-oriented databases..The book is aimed at the researcher and advanced student active inthis field.
出版日期Book 1999
關(guān)鍵詞intelligent systems; knowledge base; knowledge engineering; knowledge management; logic; programming; robo
版次1
doihttps://doi.org/10.1007/978-94-017-1317-7
isbn_softcover978-90-481-5159-2
isbn_ebook978-94-017-1317-7Series ISSN 1386-2790
issn_series 1386-2790
copyrightSpringer Science+Business Media Dordrecht 1999
The information of publication is updating

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on (see for example [26, 1, 24, 29]). While there are valid concerns about generality, an equally important issue is efficiency of inference. Special purpose representations are known to be good at that and have been used widely in Computer Science and Artificial Intelligence. We propose the use of
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like to input . into K to form a new theory, which we denote by (. + .). If K ? {.} is consistent, it is clear that K + . should be K ? {.}. The problem arises when K ? {.} is inconsistent. In this case, we need to define what K + . is to be, by using some reasonable mechanisms.
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information. Systems organized around reasoning agents [12, 6] face the similar problem of resolving conflicts among contradictory knowledge or beliefs. held by different agents. At the same time, these systems want to extract additional knowledge that is not locally held by any agent, but collecti
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