001452860 000__ 05447cam\a2200505\i\4500
001452860 001__ 1452860
001452860 003__ OCoLC
001452860 005__ 20230314003322.0
001452860 006__ m\\\\\o\\d\\\\\\\\
001452860 007__ cr\cn\nnnunnun
001452860 008__ 220826s2023\\\\sz\a\\\\o\\\\\001\0\eng\d
001452860 019__ $$a1341986201$$a1342501018
001452860 020__ $$a9783031079801$$q(electronic bk.)
001452860 020__ $$a3031079809$$q(electronic bk.)
001452860 020__ $$z9783031079795
001452860 020__ $$z3031079795
001452860 0247_ $$a10.1007/978-3-031-07980-1$$2doi
001452860 035__ $$aSP(OCoLC)1342255142
001452860 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dOCLCQ
001452860 049__ $$aISEA
001452860 050_4 $$aQA691
001452860 08204 $$a620.001516158$$223/eng/20220826
001452860 1001_ $$aIordache, Octavian,$$eauthor.$$1https://isni.org/isni/000000007144630X
001452860 24510 $$aRoads to higher dimensional polytopic projects :$$breference architectures /$$cOctavian Iordache.
001452860 264_1 $$aCham :$$bSpringer,$$c[2023].
001452860 300__ $$a1 online resource (1 volume) :$$billustrations (black and white).
001452860 336__ $$atext$$btxt$$2rdacontent
001452860 337__ $$acomputer$$bc$$2rdamedia
001452860 338__ $$aonline resource$$bcr$$2rdacarrier
001452860 4901_ $$aStudies in systems, decision and control ;$$vvolume 215
001452860 5050_ $$aRoadmap to 4D and beyond -- Cognitive Systems -- Conceptual Systems -- Prospective -- Index.
001452860 506__ $$aAccess limited to authorized users.
001452860 520__ $$aHigh dimensional reference architectures presented here allows confronting and prevailing over the growing complexity of polytopic projects implementations. Such projects should be envisaged giving that conventional systems operations, equipments, methodologies or organizations will reach their limits for self-evolvability in high complexity conditions. Self-evolvable high complexity systems are based on high dimensional polytopic reference architectures. Polytope is the general term of the sequence: point, line, polygon, polyhedron and so on. The polytopic projects are targeting the artificiality, not only for materials where it is well known and applied, but also for biological, cognitive, intelligent and mathematical systems. The book highlights the polytopic projects basic similarity despite the noticeable difference as domains of application. The roads to follow and the algebra of changing roads are emphasized. The book is divided in 9 chapters. Chapter 1 introduces the Polytopic Roadmap to 4D and beyond. The role for the dialogue of processes in duality of the non-Aristotelian Logic of Contradiction and of Included Middle is emphasized for different domains. Chapter 2 refers to chemical systems. Supramolecular chemistry, metal organic frameworks, MOF, and reaction networks, are the examples considered in the frame of polytopic chemistry. Chapter 3 refers to biological systems. Biological dynamical hierarchies and quasi-species are the considered case studies. Technological and scientific projects targeting artificiality for cells and viruses are considered. Chapter 4 refers to cognitive systems. Developmental stages, formal and relational concepts analysis, and neural coding are considered here. The roles of the 4D systems of systems of systems and of conceptual 4D-cube are emphasized. Artificiality for cognitive systems is the object of study. Chapter 5 refers to mathematical systems. Modeling levels and the 4D digital twins are discussed. Hopf monoids as tools for the study of combinations and separations, dual graded graphs and V-models are informally presented. Chapter 6 refers to application of formal concept analysis, FCA, for high dimensional separations, nesting and drug delivery. Chapter 7 refers to polytopic engineering systems as multiscale transfer, distributors-collectors, cyclic operations, middle vessel columns, mixing, assembly and designs. Equipments have been characterized using Polytopic Roadmaps and classified by Periodic Tables. Chapter 8 introduces polytopic industry, economy, society and sustainability. Chapter 9 outlines new domains of interest as arts and architecture, transdisciplinarity, complex systems and unity of sciences and engineering. Polytopic Roadmaps are proposed as Method for experts from various fields to synthesize their thinking and capabilities into new projects implementation to face and surpass high complexity. A repetitive finding of this book is that self-evolvability observed in physical systems is based on the same directed sequence of reference architectures as the self-evolvability of concepts in our mind. Continuing to develop the field of self-evolvable systems and presenting the polytopic roadmaps for 4D and beyond advances in ever growing complexity domains, the book will be useful to engineers, researchers, entrepreneurs and students in different branches of production, complex systems sciences and engineering, ecology and applied mathematics.
001452860 588__ $$aDescription based on print version record.
001452860 650_0 $$aPolytopes.
001452860 650_0 $$aEngineering mathematics.
001452860 655_0 $$aElectronic books.
001452860 77608 $$iPrint version:$$aIordache, Octavian.$$tRoads to higher dimensional polytopic projects.$$dCham : Springer, 2022$$z9783031079795$$w(OCoLC)1338660794
001452860 830_0 $$aStudies in systems, decision and control ;$$vv. 215.
001452860 852__ $$bebk
001452860 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07980-1$$zOnline Access$$91397441.1
001452860 909CO $$ooai:library.usi.edu:1452860$$pGLOBAL_SET
001452860 980__ $$aBIB
001452860 980__ $$aEBOOK
001452860 982__ $$aEbook
001452860 983__ $$aOnline
001452860 994__ $$a92$$bISE