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Artykuły w czasopismach na temat „Complexity theory”

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Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 maja 2024

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1

Bürgisser, Peter, Oded Goldreich, Madhu Sudan i Salil Vadhan. "Complexity Theory". Oberwolfach Reports 9, nr 4 (2012): 3267–304. http://dx.doi.org/10.4171/owr/2012/54.

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2

Bürgisser, Peter, Oded Goldreich, Madhu Sudan i Salil Vadhan. "Complexity Theory". Oberwolfach Reports 12, nr 4 (2015): 3049–99. http://dx.doi.org/10.4171/owr/2015/54.

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3

Bürgisser, Peter, Irit Dinur, Oded Goldreich i Salil Vadhan. "Complexity Theory". Oberwolfach Reports 15, nr 4 (16.12.2019): 3025–80. http://dx.doi.org/10.4171/owr/2018/51.

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4

Hemaspaandra, Lane A. "Complexity theory". ACM SIGACT News 32, nr 3 (wrzesień 2001): 40–52. http://dx.doi.org/10.1145/500559.500560.

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Bürgisser, Peter, Irit Dinur i Salil Vadhan. "Complexity Theory". Oberwolfach Reports 18, nr 4 (25.11.2022): 2955–3005. http://dx.doi.org/10.4171/owr/2021/54.

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6

Čenek, E. W. "Computability and complexity theory and the complexity theory companion". ACM SIGACT News 33, nr 3 (wrzesień 2002): 17–19. http://dx.doi.org/10.1145/582475.582480.

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7

Sow, D. M., i A. Eleftheriadis. "Complexity distortion theory". IEEE Transactions on Information Theory 49, nr 3 (marzec 2003): 604–8. http://dx.doi.org/10.1109/tit.2002.808135.

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Bläser, Markus, i Bodo Manthey. "Smoothed Complexity Theory". ACM Transactions on Computation Theory 7, nr 2 (11.05.2015): 1–21. http://dx.doi.org/10.1145/2656210.

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9

Gathen, J. V. Z. "Algebraic Complexity Theory". Annual Review of Computer Science 3, nr 1 (czerwiec 1988): 317–48. http://dx.doi.org/10.1146/annurev.cs.03.060188.001533.

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10

Loui, Michael C. "Computational complexity theory". ACM Computing Surveys 28, nr 1 (marzec 1996): 47–49. http://dx.doi.org/10.1145/234313.234337.

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Bernstein, Ethan, i Umesh Vazirani. "Quantum Complexity Theory". SIAM Journal on Computing 26, nr 5 (październik 1997): 1411–73. http://dx.doi.org/10.1137/s0097539796300921.

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12

Fenner, Stephen A., Lance J. Fortnow i William J. Gasarch. "Complexity Theory Newsflash". ACM SIGACT News 27, nr 3 (wrzesień 1996): 126. http://dx.doi.org/10.1145/235666.571629.

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13

Díaz, Josep, i Carme Torras. "Turing’s algorithmic lens: From computability to complexity theory". Arbor 189, nr 764 (30.12.2013): a080. http://dx.doi.org/10.3989/arbor.2013.764n6003.

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14

Manson, Steven M. "Simplifying complexity: a review of complexity theory". Geoforum 32, nr 3 (sierpień 2001): 405–14. http://dx.doi.org/10.1016/s0016-7185(00)00035-x.

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15

Farnsworth, Rodney. "Romanticism Through Complexity Theory". Essays in Romanticism 15, nr 1 (styczeń 2007): 85–111. http://dx.doi.org/10.3828/eir.15.1.4.

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16

Czapla, Alina. "COMPLEXITY THEORY IN MANAGEMENT". Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 20, nr 4 (31.12.2019): 321–30. http://dx.doi.org/10.5604/01.3001.0014.0326.

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Complexity theory is an interesting complement to classic scientific theories. Although this topic is at the center of interest of a large group of researchers, there are only a few publications on this subject that can be found in Polish literature. The aim of this article is to fill this gap partially. Basic assumptions of complexity theory have been discussed. Examples of its applications in social and economic sciences as well as numerous applications in other areas have been analyzed. Particular attention was paid to the possibilities of practical application of elements of this theory in the management of complex business systems. The benefits resulting from the development of complexity theory were also shown
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17

Vieira, Ernesto Jose, i Carlos Alberto Gonçalves. "COMPLEXITY THEORY IN ORGANIZATIONS". Nucleus 14, nr 2 (31.10.2017): 121–38. http://dx.doi.org/10.3738/1982.2278.2795.

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18

Posner, Richard A. "JERVIS ON COMPLEXITY THEORY". Critical Review 24, nr 3 (wrzesień 2012): 367–73. http://dx.doi.org/10.1080/08913811.2012.767046.

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19

Hemaspaandra, Lane A., i Mitsunori Ogihara. "The complexity theory companion". ACM SIGACT News 32, nr 4 (grudzień 2001): 66–68. http://dx.doi.org/10.1145/568425.568436.

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20

Cellucci, Carlo. "Proof theory and complexity". Synthese 62, nr 2 (luty 1985): 173–89. http://dx.doi.org/10.1007/bf00486045.

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21

Best, Steven, i Douglas Kellner. "Kevin Kelly’s Complexity Theory". Organization & Environment 12, nr 2 (czerwiec 1999): 141–62. http://dx.doi.org/10.1177/1086026699122001.

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22

Goldreich, Oded. "Invitation to complexity theory". XRDS: Crossroads, The ACM Magazine for Students 18, nr 3 (marzec 2012): 18–22. http://dx.doi.org/10.1145/2090276.2090285.

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23

Hemaspaandra, Lane A. "Complexity theory column 5". ACM SIGACT News 25, nr 2 (czerwiec 1994): 5–10. http://dx.doi.org/10.1145/181462.181463.

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24

Forbes, Michael A., i Amir Shpilka. "Complexity Theory Column 88". ACM SIGACT News 46, nr 4 (grudzień 2015): 32–49. http://dx.doi.org/10.1145/2852040.2852051.

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25

Rossman, Benjamin, Rocco A. Servedio i Li-Yang Tan. "Complexity Theory Column 89". ACM SIGACT News 46, nr 4 (grudzień 2015): 50–68. http://dx.doi.org/10.1145/2852040.2852052.

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26

Weber, Volker, i Thomas Schwentick. "Dynamic Complexity Theory Revisited". Theory of Computing Systems 40, nr 4 (czerwiec 2007): 355–77. http://dx.doi.org/10.1007/s00224-006-1312-0.

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27

Olthof, Merlijn, Fred Hasselman, Freek Oude Maatman, Anna M. T. Bosman i Anna Lichtwarck-Aschoff. "Complexity theory of psychopathology." Journal of Psychopathology and Clinical Science 132, nr 3 (kwiecień 2023): 314–23. http://dx.doi.org/10.1037/abn0000740.

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28

Joshi, Ravindra V., i handrashekhar N. "PACS.i - A Complexity Theory based Framework for Battle Management". Webology 19, nr 1 (20.01.2022): 3330–47. http://dx.doi.org/10.14704/web/v19i1/web19219.

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A Platform based on Complexity Theory will consist of domain specific framework, dynamics, and systems. PACS.i is a framework through modern combat missions can be conveniently managed. PACS stand for Planner, Analyst, Commander and Soldier. While Planner and Analyst define pre and post battle view, soldier models frog’s view of combat in execution and commander bird’s view of same. These roles should handle Population, Spatial, Temporal and Causal dynamics (with their sub-classes). Also four types of Systems - regular, complex, chaos-based and stochastic can realize these architectures with varied benefits and losses. This paper explores the relation between roles, dynamics, and systems. PACS.i framework is result of synergy between all three of these.
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29

Érdi, Péter. "Complexity underestimated?" Behavioral and Brain Sciences 26, nr 6 (grudzień 2003): 676–77. http://dx.doi.org/10.1017/s0140525x03310155.

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Instead of commenting directly on Foundations of Language: Brain, Meaning, Grammar, Evolution, I provide some remarks from an interdisciplinary view. Language theory is examined from the perspective of the theory of complex systems. The gestural-vocal dichotomy, network theory, evolutionary mechanisms/algorithms, chaos theory, and constructive approach are briefly mentioned.
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30

Sureson, Claude. "Descriptive set theory and Boolean complexity theory". Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 326, nr 2 (styczeń 1998): 255–60. http://dx.doi.org/10.1016/s0764-4442(97)89481-5.

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31

Hoffmann, Matthew J. "Global Complexity". Canadian Journal of Political Science 38, nr 1 (marzec 2005): 261–62. http://dx.doi.org/10.1017/s0008423905410100.

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Global Complexity, John Urry, London: Polity, 2003 pp. xi, 172In Global Complexity, John Urry provides at once relatively familiar discussions of globalization and complexity theory and a series of new insights for how complexity theory can be deployed to understand globalization. In fact Urry's discussion blends the analysis of globalization and complexity theory so thoroughly that he makes a convincing case that globalization is inexplicable without complexity theory. The book is long on big (well-conceived) ideas, description and anecdotal evidence and a bit short on specific applications and direction for proceeding with a complexity research agenda. Taken as a whole, Urry provides a compelling case for complexity and Global Complexity should be considered an important entry in both the globalization and complexity theory literatures.
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32

Lui, Leong Ting, Germán Terrazas, Hector Zenil, Cameron Alexander i Natalio Krasnogor. "Complexity Measurement Based on Information Theory and Kolmogorov Complexity". Artificial Life 21, nr 2 (maj 2015): 205–24. http://dx.doi.org/10.1162/artl_a_00157.

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In the past decades many definitions of complexity have been proposed. Most of these definitions are based either on Shannon's information theory or on Kolmogorov complexity; these two are often compared, but very few studies integrate the two ideas. In this article we introduce a new measure of complexity that builds on both of these theories. As a demonstration of the concept, the technique is applied to elementary cellular automata and simulations of the self-organization of porphyrin molecules.
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33

Hidalgo, César A. "Economic complexity theory and applications". Nature Reviews Physics 3, nr 2 (25.01.2021): 92–113. http://dx.doi.org/10.1038/s42254-020-00275-1.

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34

Huarng, Kun-Huang, i Tiffany Hui-Kuang Yu. "Complexity theory of entrepreneur characteristics". International Entrepreneurship and Management Journal 17, nr 3 (14.01.2021): 1037–48. http://dx.doi.org/10.1007/s11365-020-00718-2.

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35

Mahn, Holbrook, Vera John-Steiner i Mihaly Csikszentmihalyi. "Psychological Uses of Complexity Theory". American Journal of Psychology 109, nr 3 (1996): 465. http://dx.doi.org/10.2307/1423017.

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36

Bustamante-Ubilla, Miguel, i Felipe Arenas-Torres. "Epistemological Foundations of Complexity Theory". Sustainability 14, nr 20 (17.10.2022): 13316. http://dx.doi.org/10.3390/su142013316.

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The present investigation studies the evolution of complexity based on the epistemological analysis of various documentary sources, some related to changes in society as a whole and others with the new concepts that have progressively been shaping and content to the concept of complexity. For this, the multisystemic conformation of society, the relationships and interdependence of its parts or subsystems, and how they operate in interdependence, promoting new spaces for growth, development, and new complexity, were studied. The work makes a systematic approach to the concept of complexity, seeking to achieve an epistemological synthesis that relates the theories that interpret society as an empirical construct and the various theories that seek to explain it, distinguishing those that address the micro-social level from those that refer to the society as a whole. Among the findings, it can be seen that the concept of complexity has evolved, moving from the fundamental concepts of systems theory to those that analyze the origin and behavior of societies. For this, the sources of complexity are identified, some from people, others from subsystems, and finally from society. Conceptually, new terms such as particles, waves, waves, and surges appear, seeking to explain the genesis of complexity and those factors that describe its evolution through attractors that move between order and chaos, generating structures catalytic or dissipative as required by society. Finally, based on complex thinking and available analytical tools, this work contributes significantly to the study of complexity theory.
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37

Pfeifer, Helmut, i Jean-Yves Girard. "Proof Theory and Logical Complexity." Journal of Symbolic Logic 54, nr 4 (grudzień 1989): 1493. http://dx.doi.org/10.2307/2274839.

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38

Kwon, Jungmin. "Complexity Theory and Special Education". Special Education Research 8, nr 2 (30.09.2009): 279. http://dx.doi.org/10.18541/ser.2009.09.8.2.279.

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39

Munday, D. F., S. A. Johnson i F. E. Griffiths. "Complexity theory and palliative care". Palliative Medicine 17, nr 4 (czerwiec 2003): 308–9. http://dx.doi.org/10.1191/0269216303pm771oa.

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40

Tredinnick, Luke. "Complexity theory and the web". Journal of Documentation 65, nr 5 (4.09.2009): 797–816. http://dx.doi.org/10.1108/00220410910983119.

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41

Hemaspaandra, Lane A., i Alan L. Selman. "Writing and editing complexity theory". ACM SIGACT News 29, nr 4 (grudzień 1998): 20–27. http://dx.doi.org/10.1145/306198.306201.

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42

Gare, Arran. "Systems Theory and Complexity: Introduction". Democracy & Nature 6, nr 3 (listopad 2000): 327–39. http://dx.doi.org/10.1080/10855660020020221.

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43

Battiston, S., J. D. Farmer, A. Flache, D. Garlaschelli, A. G. Haldane, H. Heesterbeek, C. Hommes, C. Jaeger, R. May i M. Scheffer. "Complexity theory and financial regulation". Science 351, nr 6275 (18.02.2016): 818–19. http://dx.doi.org/10.1126/science.aad0299.

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44

Siu, Wanda. "Complexity Theory and School Reform". NASSP Bulletin 92, nr 2 (czerwiec 2008): 154–64. http://dx.doi.org/10.1177/0192636508320890.

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45

Smale, Steve. "Complexity theory and numerical analysis". Acta Numerica 6 (styczeń 1997): 523–51. http://dx.doi.org/10.1017/s0962492900002774.

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46

Greiner, Russell. "The complexity of theory revision". Artificial Intelligence 107, nr 2 (luty 1999): 175–217. http://dx.doi.org/10.1016/s0004-3702(98)00107-6.

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47

Lohmann, Adolf W. "Array illuminators and complexity theory". Optics Communications 89, nr 2-4 (maj 1992): 167–72. http://dx.doi.org/10.1016/0030-4018(92)90153-i.

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48

Ames, W. F., i C. Brezinski. "Complexity theory of real functions". Mathematics and Computers in Simulation 34, nr 2 (sierpień 1992): 186. http://dx.doi.org/10.1016/0378-4754(92)90059-p.

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49

D'Angelo, John P., i Ming Xiao. "Symmetries in CR complexity theory". Advances in Mathematics 313 (czerwiec 2017): 590–627. http://dx.doi.org/10.1016/j.aim.2017.04.014.

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50

Ortman, Scott G., José Lobo i Michael E. Smith. "Cities: Complexity, theory and history". PLOS ONE 15, nr 12 (8.12.2020): e0243621. http://dx.doi.org/10.1371/journal.pone.0243621.

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In recent decades researchers in a variety of disciplines have developed a new “urban science,” the central goal of which is to build general theory regarding the social processes underlying urbanization. Much work in urban science is animated by the notion that cities are complex systems. What does it mean to make this claim? Here we adopt the view that complex systems entail both variation and structure, and that their properties vary with system size and with respect to where and how they are measured. Given this, a general framework regarding the social processes behind urbanization needs to account for empirical regularities that are common to both contemporary cities and past settlements known through archaeology and history. Only by adopting an explicitly historical perspective can such fundamental structure be revealed. The identification of shared properties in past and present systems has been facilitated by research traditions that define cities (and settlements more broadly) as networks of social interaction embedded in physical space. Settlement Scaling Theory (SST) builds from these insights to generate predictions regarding how measurable properties of cities and settlements are related to their population size. Here, we focus on relationships between population and area across past settlement systems and present-day world cities. We show that both patterns and variations in these measures are explicable in terms of SST, and that the framework identifies baseline infrastructural area as an important system-level property of urban systems that warrants further study. We also show that predictive theory is helpful even in cases where the data do not conform to model predictions.
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