@BOOK { Rsds4454,
title = {Transactions on Computational Science II},
booktitle = {Theoretical Computer Science and General Issues},
conference = {Rough Sets and Current Trends in Computing},
series = = {Lecture Notes in Artificial Intelligence},
volume = 5150,
publisher = {Springer-Verlag},
address = {Heidelberg - Berlin, Germany},
year = 2008,
editor = {Gavrilova, Marina and Tan, Wang and Yao, Yiyu and Wang, Guoying and Wang, Guoying},
url = {http://www.springer.com/computer/programming/book/978-3-540-87562-8},
isbn = {978-3-540-87562-8},
abstract = {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. Written for: Researchers and professionals},
keywords = {ai, rtpa, approximate reasoning, artificial intelligence, autonomic computing, brain models, cognitive informatics, cognitive models, cognitive psychology, cognitive science, computational intelligence, concept algebra, cybernetics, decision grids, decision making, deductive reasoning, deductive semantics, descriptive mathematics, differential equations, dynamic reconfiguration, embedded relations, formal methods, fuzzy sets, game theory, granular computing, inference systems, knowledge engineering, machine cognition, modeling, natural intelligence, neural informatics, neuropsychology, process algebra, process models, reduction, resolution reasoning, rough sets, software engineering, statistical independence, system algebra, transformation model, uncertainty, },
}