| 书目名称 | Transactions on Computational Science II | | 编辑 | Marina L. Gavrilova,C. J. Kenneth Tan,Guoyin Wang | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | The denotational and expressive needs in cognitive informatics, computational intelligence, software engineering, and knowledge engineering have led to the development of new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of mathematical structures that formalize rigorous expressions and long-chain inferences of system compositions and behaviors with abstract concepts, complex relations, and dynamic processes. Typical paradigms of denotational mathematics are concept algebra, system algebra, Real-Time Process Algebra (RTPA), Visual Semantic Algebra (VSA), fuzzy logic, and rough sets. A wide range of applications of denotational mathematics have been identified in many modern science and engineering disciplines that deal with complex and intricate mathematical entities and structures beyond numbers, Boolean variables, and traditional sets. This issue of Springer’s Transactions on Computational Science on Denotational Mathematics for Computational Intelligence presents a snapshot of current research on denotational mathematics and its engineering applications. The volume includes selected and extended papers from two intern | | 出版日期 | Book 2008 | | 关键词 | approximate reasoning; artificial intelligence; autonomic computing; brain models; cognitive models; cogn | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-87563-5 | | isbn_softcover | 978-3-540-87562-8 | | isbn_ebook | 978-3-540-87563-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
The information of publication is updating
|
|
发表于 2025-3-21 19:00:23
