LEADER 02588nam 2200529 450 001 9910540047503321 005 20230809230521.0 010 $a3-11-046921-9 010 $a3-11-046889-1 024 7 $a10.1515/9783110468892 035 $a(CKB)3850000000001211 035 $a(MiAaPQ)EBC4911718 035 $a(DE-B1597)462993 035 $a(OCoLC)987888777 035 $a(DE-B1597)9783110468892 035 $a(Au-PeEL)EBL4911718 035 $a(CaPaEBR)ebr11497547 035 $a(EXLCZ)993850000000001211 100 $a20180206h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aScientific leadership /$fJ. W. Niemantsverdriet, J. P. K. Felderhof 210 1$aBerlin, [Germany] ;$aBoston, [Massachusetts] :$cDe Gruyter,$d2017. 210 4$dİ2017 215 $a1 online resource (188 pages) $cillustrations 225 0 $aDe Gruyter Textbook 300 $aIncludes index. 311 $a3-11-046888-3 327 $tFrontmatter -- $tForeword -- $tAcknowledgments -- $tSpecial foreword -- $tContents -- $t1. Creating success in your own scientific world -- $t2. Leading yourself and others in research -- $t3. Presenting science: talks, publications, posters, and some ideas on conferences -- $t4. Management skills for researchers -- $t5. Planning the road to your future in science: strategy and comprehensive plans -- $t6. Understanding how to build successful teams: creating synergy between people who trust each other -- $t7. On the road to scientific (self) leadership -- $t8. Post scriptum - implementation -- $tWorksheets -- $tIndex 330 $aModern Science is teamwork. But how can young academics go from being a productive member of a scientific team to leading their own? Entry level positions for PhDs in Science often require the infamous "people skills". The authors aim to equip young academics with the right ideas and strategies for their scientific leadership development. Become a successful leader not with tricks, but with an inspiring and straightforward vision and mission, the correct mindset, and effective teamwork. 606 $aLeadership$vCongresses 606 $aLeadership$zGermany 615 0$aLeadership 615 0$aLeadership 676 $a303.34 700 $aNiemantsverdriet$b J. W.$0845795 702 $aFelderhof$b J. P. K. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910540047503321 996 $aScientific leadership$92707568 997 $aUNINA LEADER 03139nam 2200613Ia 450 001 9910437925403321 005 20200520144314.0 010 $a9783642279720 010 $a3642279724 024 7 $a10.1007/978-3-642-27972-0 035 $a(CKB)3390000000030163 035 $a(SSID)ssj0000745972 035 $a(PQKBManifestationID)11412854 035 $a(PQKBTitleCode)TC0000745972 035 $a(PQKBWorkID)10862530 035 $a(PQKB)10416838 035 $a(DE-He213)978-3-642-27972-0 035 $a(MiAaPQ)EBC3071015 035 $a(PPN)168311240 035 $a(EXLCZ)993390000000030163 100 $a20120807d2013 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGeometry of knowledge for intelligent systems /$fGermano Resconi 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cSpringer$dc2013 215 $a1 online resource (X, 282 p.) 225 1 $aStudies in computational intelligence,$x1860-949X ;$v407 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642279713 311 08$a3642279716 320 $aIncludes bibliographical references. 327 $aAn Introduction to the Geometry of Agent Knowledge -- Tensor Calculus and Formal Concepts -- Geometry and Agent Coherence -- Field Theory for Knowledge -- Brain Neurodynamic and Tensor Calculus -- Electrical Circuit as constrain in the multidimensional space of the voltages or currents -- Superposition and Geometry for Evidence and Quantum Mechanics in the Tensor Calculus -- The Logic of Uncertainty and geometry of the worlds. 330 $aThe book is on the geometry of agent knowledge. The important concept studied in this book is the Field and its Geometric Representation. To develop a geometric image of the gravity , Einstein used Tensor Calculus but this is very different from the knowledge instruments used now, as for instance techniques of data mining , neural networks , formal concept analysis ,quantum computer and other topics. The aim of this book is to rebuild the tensor calculus in order to give a geometric representation of agent knowledge. By using a new geometry of knowledge we can unify all the topics that have been studied in recent years to create a bridge between the geometric representation of the physical phenomena and the geometric representation of the individual and subjective knowledge of the agents. 410 0$aStudies in computational intelligence ;$vv. 407. 606 $aCalculus of tensors 606 $aIntelligent agents (Computer software)$xMathematics 606 $aLogic, Symbolic and mathematical 615 0$aCalculus of tensors. 615 0$aIntelligent agents (Computer software)$xMathematics. 615 0$aLogic, Symbolic and mathematical. 676 $a515.63 686 $a004$a510$2sdnb$qDE-101 700 $aResconi$b Germano$0878611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437925403321 996 $aGeometry of Knowledge for Intelligent Systems$92546753 997 $aUNINA