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.
The fifth volume of the Transactions on Computational Science
journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to
the subject of cognitive knowledge representation. This field of
study focuses on the internal knowledge representation mechanisms
of the brain and how these can be applied to computer science and
engineering. The issue includes the latest research results in
internal knowledge representation at the logical, functional,
physiological, and biological levels and describes their impacts on
computing, artificial intelligence, and computational
intelligence.
General
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