JA Scott Kelso (2009). Coordination Dynamics. in RA Meyers
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Encyclopedia of Complexity and Systems Science Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and J.A. Scott Kelso (2009). Coordinationengineering. The science dynamics and tools of complexity. In andR.A. systems Meyers science include (ed.) theo- ries of self-organization, complex systems, synergetics, dynamical systems, turbulence, Encyclopedia of complexitycatastrophes, and systems instabilities, nonlinearity, sciences stochastic (pp. processes,1537-1564). chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Examples of near-term Berlin: Springer-Verlag. problems and major unknowns that can be approached through complexity and sys- tems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformat- ics as systems biology; human longevity limits; the limits of computing; sustainabil- ity of life on earth; predictability, dynamics and extent of earthquakes, hurricanes, 2009. LXXX, 10370 p. 4300 illus., 2040 in tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in color. In 11 volumes, not available separately. Hardcover physics, microprocessor design; macromolecular assembly in chemistry and biophysics; brain functions in cognitive neuroscience; climate change; ecosystem... more on http:// !" 3.799,00 € springer.com/978-0-387-75888-6 !" $5,699.00 !" SFr. 6'305.00 !"Assembles the concepts and tools for analyzing complex systems in a wide range of !" £2,860.50 fields !"Edited by renowned encyclopedia editor Robert A. Meyers !"Appeals to Encyclopediaundergraduates, researchers of Complexity and practitioners and!"Reflects Systems the real worldScience by integrating ISBN 978-0-387-75888-6 complexity with the deterministic equations and concepts that define matter, energy, and Encyclopediathe four forces of Complexity identified in and nature Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theo- ries of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Examples of near-term problems and major unknowns that can be approached through complexity and sys- Order Now! tems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformat- ics as systems"Encyclopedia of Complexity and Systems Science" biology; human longevity limits; the limits of computing; sustainabil- Yes, please send me copies ity of life on earth;ISBN 9780387758886 predictability, dynamics and extent of earthquakes, hurricanes, 2009. LXXX, 10370 p. 4300 illus., 2040 in tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in color. 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Yes,Pre-publication please pricing: send Unless me otherwise stated, pre-pub copies prices are valid through the endISBN 9780387758886 of the third month following publication, and therefore are subject to change. Methods of Payment Check/Money Order enclosed AmEx MasterCard VISA Card No. Exp. Date i Meyers: Encyclopedia of Complexity and Systems Science — Entry588 — 2009/3/23 — 17:49 — page 1537 — le-tex i Coordination Dynamics C 1537 ceeding of the Second International Conference on Expert Conceptual Foundations of Coordination Dynamics: Database Systems, pp 333–353 Self-organizing Dynamical Systems 4. Gal A, Minker J (1988) Informative and cooperative answers in Finding Dynamical Laws of Coordination databases using integrity constraints. Natural Language Un- derstanding and Logic Programming, North Holland, pp 277– Empirical Foundations of Coordination Dynamics: 300 Pattern Generation, Stability and Phase Transitions 5. Gaasterland T (1997) Cooperative answering through con- Three Deceptively Simple Experiments trolled query relaxation. IEEE Expert 12(5):48–59 The Theoretical Modeling Strategy of Coordination 6. Gaasterland T, Godfrey P, Minker J (1992) Relaxation as a plat- form for cooperative answering. J Intell Inf Syst 1(3):293–321 Dynamics: Symmetry and Bifurcations 7. Giannotti F, Manco G (2002) Integrating data mining with in- Metastable Coordination Dynamics telligent query answering. Logics in Artificial Intelligence. Lec- Coordination of Multiple Components: ture Notes in Computer Science, vol 2424. Springer, Berlin, From Quadrupeds to Brains pp 517–520 “Collective Minds” 8. Godfrey P (1993) Minimization in cooperative response to fail- ing database queries. Int J Coop Inf Syst 6(2):95–149 Modifying Coordination: Meaningful Information 9. Guarino N (1998) Formal ontology in information systems. IOS A Brief Survey of Applications and Elaborations Press, Amsterdam of Coordination Dynamics 10. Im S, Ras ZW (2007) Protection of sensitive data based on Future Directions and Conclusions: The Complementary reducts in a distributed knowledge discovery system. Proceed- Nature of Coordination Dynamics ings of the International Conference on Multimedia and Ubiq- uitous Engineering (MUE 2007), Seoul. IEEE Computer Society, Acknowledgments pp 762–766 Bibliography 11. Lin TY (1989) Neighborhood systems and approximation in re- lational databases and knowledge bases. Proceedings of the Fourth International Symposium on Methodologies for Intel- Glossary ligent Systems. Poster Session Program, Oak Ridge National Coordination dynamics Coordination Dynamics, de- Laboratory, ORNL/DSRD-24, pp 75–86 12. Muslea I (2004) Machine Learning for Online Query Relaxation. fined broadly as the science of coordination, describes, Proceedings of KDD-2004, Seattle. ACM, pp 246–255 explains and predicts how patterns of coordination 13. Pawlak Z (1981) Information systems – theoretical founda- form, adapt, persist and change in living things. In co- tions. Inf Syst J 6:205–218 ordination dynamics the parts communicate via mu- 14. Ras ZW, Dardzinska A (2004) Ontology based distributed au- tual information exchange and information is mean- tonomous knowledge systems. Inf Syst Int J 29 (1):47–58 15. Ras ZW, Dardzinska A (2006) Solving Failing Queries through ingful and specific to the forms coordination takes. Cooperation and Collaboration, Special Issue on Web Re- Coordination dynamics embraces both spontaneous sources Access. World Wide Web J 9(2):173–186 self-organizing tendencies and the need to guide or 16. Ras ZW, Zhang X, Lewis R (2007) MIRAI: Multi-hierarchical, direct them in specific ways in a single conceptual FS-tree based Music Information Retrieval System. In: framework. Life, brain, mind and behavior are hy- Kryszkiewicz M et al (eds) Proceedings of RSEISP 2007.