LEADER 01168nam--2200349---450- 001 990003629200203316 005 20120224111701.0 035 $a000362920 035 $aUSA01000362920 035 $a(ALEPH)000362920USA01 035 $a000362920 100 $a20120224d1947----km-y0itay50------ba 101 $alat 102 $aCS 105 $a||||||||001yy 200 1 $aDe re metrica poetarum graecorum et romanorum$eaccedit de solutae orationis apud graecos et romanos eurhythmia appendix$fAntonius Kolįr 210 $aPragae$cMinisteriis Informationum, Scholarum eruditionisque publicae, Consilio Cechoslovaco exploratorio adiuvantibus editum est a scriptore$d1947 215 $a383 p.$d26 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aMetrica$2BNCF 676 $a416 700 1$aKOLĮR,$bAntonius$0562623 801 0$aIT$bsalbc$gISBD 912 $a990003629200203316 951 $aSP 17 (c/o Dipartimento di Scienze dell'Antichitą)$b49283 L.M. 959 $aBK 969 $aDSA 979 $aDSA$b90$c20120224$lUSA01$h1117 996 $aDe re metrica poetarum graecorum et romanorum$91138235 997 $aUNISA LEADER 04332nam 2200589Ia 450 001 9910484119103321 005 20200520144314.0 010 $a3-642-02097-6 024 7 $a10.1007/978-3-642-02097-1 035 $a(CKB)1000000000753999 035 $a(SSID)ssj0000320460 035 $a(PQKBManifestationID)11213044 035 $a(PQKBTitleCode)TC0000320460 035 $a(PQKBWorkID)10247637 035 $a(PQKB)10516389 035 $a(DE-He213)978-3-642-02097-1 035 $a(MiAaPQ)EBC3064286 035 $a(PPN)136306551 035 $a(EXLCZ)991000000000753999 100 $a20090522d2009 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aTransactions on computational science V $especial issue on cognitive knowledge representation /$fMarina L. Gavrilova, C.J. Kenneth Tan, Yingxu Wang, Keith C.C. Chan (eds.) 205 $a1st ed. 2009. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2009 215 $a1 online resource (XV, 237 p.) 225 1 $aLecture notes in computer science ;$v5540 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-02096-8 320 $aIncludes bibliographical references and index. 327 $aToward 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. 330 $aThe LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. The fifth volume of the Transactions on Computational Science journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to the subject of cognitive knowledge representation. This field of study focuses on the internal knowledge representation mechanisms of the brain and how these can be applied to computer science and engineering. The issue includes the latest research results in internal knowledge representation at the logical, functional, physiological, and biological levels and describes their impacts on computing, artificial intelligence, and computational intelligence. 410 0$aLecture notes in computer science ;$v5540. 606 $aKnowledge representation (Information theory)$vCongresses 606 $aExpert systems (Computer science)$vCongresses 615 0$aKnowledge representation (Information theory) 615 0$aExpert systems (Computer science) 676 $a005.74 701 $aGavrilova$b Marina L$01242240 701 $aTan$b C. J. Kenneth$01242257 701 $aWang$b Yingxu$01763606 701 $aChan$b Keith C. C$01643140 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484119103321 996 $aTransactions on computational science V$94204155 997 $aUNINA