Transactions on Computational Science II /

Transactions on Computational Science II /

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Bibliographic Details
Imprint:	Berlin ; New York : Springer, ©2008.
Description:	1 online resource (viii, 245 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science ; 5150 LNCS sublibrary. SL 1, Theoretical computer science and general issues Lecture notes in computer science ; 5150. LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Subject:	Science -- Data processing. Research -- Data processing. Numerical calculations -- Data processing. Computer science. Computational complexity. Computational complexity. Computer science. Numerical calculations -- Data processing. Research -- Data processing. Science -- Data processing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11070068

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Other authors / contributors:	Gavrilova, Marina L. Tan, C. J. Kenneth.
ISBN:	9783540875635 3540875638 9783540875628 354087562X
Notes:	Includes bibliographical references and index. Print version record.
Summary:	The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. Transactions on Computational Science II is devoted to the subject of denotational mathematics for computational intelligence. Denotational mathematics, as a counterpart of conventional analytic mathematics, is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, granules, and systems. This volume includes 12 papers covering the following four important areas: foundations and applications of denotational mathematics; rough and fuzzy set theories; granular computing; and knowledge and information modeling.
Other form:	Print version: Transactions on Computational Science II. Berlin ; New York : Springer, ©2008 354087562X 9783540875628
Standard no.:	10.1007/978-3-540-87563-5

Description
Summary:	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 international conferences, namely IEEE ICCI 2006 (on Cognitive Informatics) and RSKT 2006 (on Rough Sets and Knowledge Technology), as well as new contributions. The following four important areas in denotational mathem- ics and its applications are covered: Foundations and applications of denotational mathematics, focusing on: a) c- temporary denotational mathematics for computational intelligence; b) deno- tional mathematical laws of software; c) a comparative study of STOPA and RTPA; and d) a denotational mathematical model of abstract games.
Physical Description:	1 online resource (viii, 245 pages) : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9783540875635 3540875638 9783540875628 354087562X