Academic literature on the topic 'Evolution of principles'
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Journal articles on the topic "Evolution of principles"
Boesch, Christophe. "Principles of human evolution." Journal of Evolutionary Biology 12, no. 1 (January 1999): 198. http://dx.doi.org/10.1046/j.1420-9101.1999.0002i.x.
Full textXue, Y. "Principles of human evolution." Heredity 94, no. 2 (January 27, 2005): 271. http://dx.doi.org/10.1038/sj.hdy.6800579.
Full textBehera, Narayan. "Variational principles in evolution." Bulletin of Mathematical Biology 58, no. 1 (January 1996): 175–202. http://dx.doi.org/10.1007/bf02458287.
Full textStoll, Claude. "Principles of Human Evolution." Annales de Génétique 47, no. 1 (January 2004): 104. http://dx.doi.org/10.1016/j.anngen.2004.02.002.
Full textBehera, N. "Variational principles in evolution." Bulletin of Mathematical Biology 58, no. 1 (January 1996): 175–202. http://dx.doi.org/10.1016/0092-8240(95)00316-9.
Full textCrow, James F. "Some optimality principles in evolution." Behavioral and Brain Sciences 14, no. 2 (June 1991): 218–19. http://dx.doi.org/10.1017/s0140525x00066206.
Full textPrud'homme, B., N. Gompel, and S. B. Carroll. "Emerging principles of regulatory evolution." Proceedings of the National Academy of Sciences 104, Supplement 1 (May 9, 2007): 8605–12. http://dx.doi.org/10.1073/pnas.0700488104.
Full textWilson, Peter J., and C. R. Hallpike. "The Principles of Social Evolution." Man 23, no. 3 (September 1988): 584. http://dx.doi.org/10.2307/2803296.
Full textWichert, Andrzej. "Principles of Quantum-like Evolution." Open Systems & Information Dynamics 26, no. 02 (June 2019): 1950007. http://dx.doi.org/10.1142/s1230161219500070.
Full textSimmons, Jack, Duong Vo, and Gene Mesco. "The Universal Principles of Evolution." World Futures 70, no. 7 (October 3, 2014): 426–41. http://dx.doi.org/10.1080/02604027.2014.977644.
Full textDissertations / Theses on the topic "Evolution of principles"
Kerce, James Clayton. "Geometric problems relating evolution equations and variational principles." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/28739.
Full textKouvaris, Konstantinos. "How evolution learns to evolve : principles of induction in the evolution of adaptive potential." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/423467/.
Full textShen, Yanfen. "A formal ontology for data mining : principles, design, and evolution." Thèse, Trois-Rivières : Université du Québec à Trois-Rivières, 2007. http://www.uqtr.ca/biblio/notice/resume/30004656R.pdf.
Full textElderfield, James Alexander David. "Using epidemiological principles and mathematical models to understand fungicide resistance evolution." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275061.
Full textBinder, Bernd. "Design principles and control mechanisms of signal transduction networks." Doctoral thesis, [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975655868.
Full textYesilyurt, Yasar. "Evolution of total quality management principles and their implementation in high schools." Master's thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/5447.
Full textDibartolomeo, Theresa. "The evolution of U.S. generally accepted accounting principles and its current and future status /." Staten Island, N.Y. : [s.n.], 2005. http://library.wagner.edu/theses/business/2005/thesis_bus_2005_dibar_evolu.pdf.
Full textManuse, Jennifer E. "The strategic evolution of systems : principles and framework with applications to space communication networks." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54603.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. [369]-377).
Complex systems in operation are constrained by legacy; in other words, the existing properties, structure, components, protocols, software, people and etc. that are inherited over time. This inheritance heavily influences the type and timing of feasible and available changes to the system, the effectiveness and desirability of their impact while accounting for uncertainty, and the future constraints imposed as a result. This thesis introduces the Strategic Evolution of Systems, a novel framework for evolving complex systems that directly addresses legacy challenges during system operation within the context of space communication networks. The framework - perspective, position, plan and pattern - is based on Mintzberg's "emergent" interpretation of strategy. This thesis also presents several unique ideas including the concept of option lock-out, or the tendency to lose access to potentially desirable regions of the architectural space when exercising a transition; an energy analogy to model static architecture value; an entropy-based formulation to evaluate the desirability, or dynamic multidimensional value, of an architecture by considering the structural and temporal space of possible transitions; and the application of the entropy-based formulation to define the overall desirability of an architecture as its position, or current situation (favorable or unfavorable) relative to accessible alternatives, in order to identify the most advantageous immediate transition. A key contribution of this thesis is a method to value legacy in a physical non-market traded system, including a demonstration of its application to a system in which benefits and costs are nonmonetary in nature.
(cont.) Other important contributions include a change exposure tool, referred to as a Strategic Advantage Map, to visualize the near- and long-term impact of immediate transitions relative to legacy. Here, an architecture's position relative to the legacy system can be thought of as the region of entropy space it occupies (evaluated over time and uncertainty). The more dominating this region of position entropy is, the more desirable the architecture. For monetary-based systems, a second change exposure tool includes an "Iceberg Exposure,"which maps the exposure of net present value for each accessible transition option relative to a neutral no-gain-no-loss line, resulting in a graph resembling an iceberg. The visualization tools allow decision makers to quickly evaluate the impact (risk/opportunity) of change, based on their concept of desirability. Case studies include a historical look at the NASA Deep Space Network for insight into legacy and complex system evolution, a demonstration of the Strategic Evolution of Systems framework for a global commercial satellite communication system, and an illustration of the method extended to non-monetary systems for the deployment of communication assets to support manned exploration of Earth's moon. The satellite system case study introduces an extended market model that evaluates the attainable business segments in a global satellite communications system by integrating estimates of the global distribution of market demand, observed traffic statistics, and calculations of the resulting steady-state network performance.
(cont.) This thesis will show how to use the framework and principles for evaluating a system's current position as well as how to update the evaluation as time progresses. The satellite communication case study will provide one example where the methodology enables identification of the optimal transition path over the system's operational life. It will become evident that the choice of horizon time and the use of debiasing factors can have significant influence on the results. Future study on properly identifying and constructing these variables is strongly recommended. Finally, the ideas and tools presented in this thesis may be used to compare preferred systems to suggested alternatives in order to justify expenditures or to initiate research and development programs.
by Jennifer E. Manuse.
Ph.D.
Nyström, Dag. "The UN mission in Congo and the basic principles of peacekeeping : revolution or evolution?" Thesis, Stockholms universitet, Juridiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-127731.
Full textOrji, Peter. "The evolution of a regulatory framework for e-commerce formation : metamorphosis of traditional contract principles." Thesis, University of Reading, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.567593.
Full textBooks on the topic "Evolution of principles"
Meyer-Ortmanns, Hildegard, and Stefan Thurner, eds. Principles of Evolution. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18137-5.
Full textCabej, Nelson R. Epigenetic Principles of Evolution. Burlington: Elsevier Science, 2011.
Find full textHallpike, C. R. The principles of social evolution. Oxford [England]: Clarendon Press, 1988.
Find full textHallpike, C. R. The principles of social evolution. Oxford [Oxfordshire]: Clarendon Press, 1986.
Find full textBook chapters on the topic "Evolution of principles"
Sherman, Howard J., Michael A. Meeropol, and Paul D. Sherman. "Evolution of Capitalism." In Principles of Macroeconomics, 10–23. Second edition. | Abingdon, Oxon; NewYork, NY: Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781351232111-2.
Full textGhanea-Hercock, Robert. "Principles of Natural Evolution." In Applied Evolutionary Algorithms in Java, 19–26. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21615-7_2.
Full textSchuster, Peter. "Physical Principles of Evolution." In The Frontiers Collection, 45–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18137-5_2.
Full textSpector, Sheila A. "The Foundational Principles." In The Evolution of Blake’s Myth, 84–131. New York : Routledge, 2020. | Series: Routledge studies in romanticism: Routledge, 2020. http://dx.doi.org/10.4324/9781351108430-6.
Full textBlum, Reinhard, and Peter Welzel. "Principles of Economic Policy in the Common Market." In Market Evolution, 317–32. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8428-9_19.
Full textKoonin, Eugene V., and Michael Y. Galperin. "Principles and Methods of Sequence Analysis." In Sequence — Evolution — Function, 111–92. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3783-7_5.
Full textLuo, Liqun. "Evolution of the Nervous System." In Principles of Neurobiology, 547–90. Second edition. | Boca Raton : Garland Science, 2020.: Garland Science, 2020. http://dx.doi.org/10.1201/9781003053972-13.
Full textWitt, Ulrich. "Evolutionary economics: Some principles." In Evolution in Markets and Institutions, 1–16. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-50065-7_1.
Full textVarga, Ervin. "Context, Rules, and Principles." In Unraveling Software Maintenance and Evolution, 17–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71303-8_2.
Full textRatner, Vadim A., Andrey A. Zharkikh, Nikolay Kolchanov, Sergey N. Rodin, Viktor V. Solovyov, and Andrey S. Antonov. "The Principles of the Origin and Evolution of Genomes." In Molecular Evolution, 201–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-12530-4_7.
Full textConference papers on the topic "Evolution of principles"
Aoyama, Mikio, Katsuro Inoue, and Václav Rajlich. "Principles of software evolution." In the 24th international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/581339.581430.
Full text"Laws and principles of evolution." In Proceedings International Conference on Software Maintenance. IEEE, 2002. http://dx.doi.org/10.1109/icsm.2002.1167751.
Full textZheng, Weijie, Guangwen Yang, and Benjamin Doerr. "Working principles of binary differential evolution." In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205455.3205623.
Full text"Proceedings International Symposium on Principles of Software Evolution." In Proceedings International Symposium on Principles of Software Evolution. IEEE, 2000. http://dx.doi.org/10.1109/ispse.2000.913214.
Full textBeyer, Hans-Georg. "Design principles for matrix adaptation evolution strategies." In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3389870.
Full textBirman, Ken. "Evolution of fault tolerance." In SOSP '15: ACM SIGOPS 25th Symposium on Operating Systems Principles. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2830903.2830908.
Full text"7th International Workshop on Principles of Software Evolution." In Proceedings. 7th International Workshop on Principles of Software Evolution. IEEE, 2004. http://dx.doi.org/10.1109/iwpse.2004.1334757.
Full text"7th International Workshop on Principles of Software Evolution." In Proceedings. 7th International Workshop on Principles of Software Evolution, 2004. IEEE, 2004. http://dx.doi.org/10.1109/iwpse.2004.1334755.
Full text"Index of Authors." In Proceedings International Symposium on Principles of Software Evolution. IEEE, 2000. http://dx.doi.org/10.1109/ispse.2000.913255.
Full text"Proceedings. 7th International Workshop on Principles of Software Evolution." In Proceedings. 7th International Workshop on Principles of Software Evolution. IEEE, 2004. http://dx.doi.org/10.1109/iwpse.2004.1334754.
Full textReports on the topic "Evolution of principles"
Roye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021018.
Full textWilli, Joseph, Keith Stakes, Jack Regan, and Robin Zevotek. Evaluation of Ventilation-Controlled Fires in L-Shaped Training Props. UL's Firefighter Safety Research Institute, October 2016. http://dx.doi.org/10.54206/102376/mijj9867.
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