Transactions on Computational Science V Special Issue on Cognitive Knowledge Representation /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gavrilova, Marina L. (Editor), Tan, C. J. Kenneth (Editor), Wang, Yingxu (Editor), Chan, Keith C. C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Lecture Notes in Computer Science, 5540
• Subjects: Computer science.; Programming languages (Electronic computers).; Mathematical logic.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Database Management.; Programming Languages, Compilers, Interpreters.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Artificial Intelligence (incl. Robotics).; Mathematical Logic and Formal Languages.

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-qual...

Table of Contents:

• Toward a Formal Knowledge System Theory and Its Cognitive Informatics Foundations
• On Temporal Properties of Knowledge Base Inconsistency
• Images as Symbols: An Associative Neurotransmitter-Field Model of the Brodmann Areas
• Knowledge Reduction of Covering Approximation Space
• Formal Description of the Cognitive Process of Memorization
• Intelligent Processing of an Unrestricted Text in First Order String Calculus
• Knowledge Reduction in Concept Lattices Based on Irreducible Elements
• A Knowledge Representation Tool for Autonomous Machine Learning Based on Concept Algebra
• Dyna: A Tool for Dynamic Knowledge Modeling
• Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts
• Hybrid Evolutionary Algorithm for the Graph Coloring Register Allocation Problem for Embedded Systems
• Extended Pawlak’s Flow Graphs and Information Theory.