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  • 标题:Tractable Form of Non-Monotonic Reasoning to Generate Belief Set
  • 本地全文:下载
  • 作者:Dipanjan kumar Dey
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:1630-1637
  • 出版社:TechScience Publications
  • 摘要:Nonmonotonic reasoning is intended to apply specifically in situation where the initial information is incomplete. The most important property of traditional system is monotonicity, i.e. addition of new facts to the database or to the theory does not result in any previous fact being retracted. There does not exist any inconsistency between the old statements and newly added statements and is assume that situation do not change. But in real world problem situation changes and so many new assumptions are generated. A monotonic reasoning system cannot work efficiently in real life environments because information available is always incomplete. These problem can be solved using nonmonotonic reasoning.
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