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Journal articles on the topic 'Complexity theory'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

Bürgisser, Peter, Oded Goldreich, Madhu Sudan, and Salil Vadhan. "Complexity Theory." Oberwolfach Reports 9, no. 4 (2012): 3267–304. http://dx.doi.org/10.4171/owr/2012/54.

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2

Bürgisser, Peter, Oded Goldreich, Madhu Sudan, and Salil Vadhan. "Complexity Theory." Oberwolfach Reports 12, no. 4 (2015): 3049–99. http://dx.doi.org/10.4171/owr/2015/54.

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3

Bürgisser, Peter, Irit Dinur, Oded Goldreich, and Salil Vadhan. "Complexity Theory." Oberwolfach Reports 15, no. 4 (December 16, 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, no. 3 (September 2001): 40–52. http://dx.doi.org/10.1145/500559.500560.

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5

Bürgisser, Peter, Irit Dinur, and Salil Vadhan. "Complexity Theory." Oberwolfach Reports 18, no. 4 (November 25, 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, no. 3 (September 2002): 17–19. http://dx.doi.org/10.1145/582475.582480.

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7

Sow, D. M., and A. Eleftheriadis. "Complexity distortion theory." IEEE Transactions on Information Theory 49, no. 3 (March 2003): 604–8. http://dx.doi.org/10.1109/tit.2002.808135.

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8

Bläser, Markus, and Bodo Manthey. "Smoothed Complexity Theory." ACM Transactions on Computation Theory 7, no. 2 (May 11, 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, no. 1 (June 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, no. 1 (March 1996): 47–49. http://dx.doi.org/10.1145/234313.234337.

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11

Bernstein, Ethan, and Umesh Vazirani. "Quantum Complexity Theory." SIAM Journal on Computing 26, no. 5 (October 1997): 1411–73. http://dx.doi.org/10.1137/s0097539796300921.

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12

Fenner, Stephen A., Lance J. Fortnow, and William J. Gasarch. "Complexity Theory Newsflash." ACM SIGACT News 27, no. 3 (September 1996): 126. http://dx.doi.org/10.1145/235666.571629.

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13

Díaz, Josep, and Carme Torras. "Turing’s algorithmic lens: From computability to complexity theory." Arbor 189, no. 764 (December 30, 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, no. 3 (August 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, no. 1 (January 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, no. 4 (December 31, 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, and Carlos Alberto Gonçalves. "COMPLEXITY THEORY IN ORGANIZATIONS." Nucleus 14, no. 2 (October 31, 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, no. 3 (September 2012): 367–73. http://dx.doi.org/10.1080/08913811.2012.767046.

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19

Hemaspaandra, Lane A., and Mitsunori Ogihara. "The complexity theory companion." ACM SIGACT News 32, no. 4 (December 2001): 66–68. http://dx.doi.org/10.1145/568425.568436.

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20

Cellucci, Carlo. "Proof theory and complexity." Synthese 62, no. 2 (February 1985): 173–89. http://dx.doi.org/10.1007/bf00486045.

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21

Best, Steven, and Douglas Kellner. "Kevin Kelly’s Complexity Theory." Organization & Environment 12, no. 2 (June 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, no. 3 (March 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, no. 2 (June 1994): 5–10. http://dx.doi.org/10.1145/181462.181463.

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24

Forbes, Michael A., and Amir Shpilka. "Complexity Theory Column 88." ACM SIGACT News 46, no. 4 (December 2015): 32–49. http://dx.doi.org/10.1145/2852040.2852051.

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25

Rossman, Benjamin, Rocco A. Servedio, and Li-Yang Tan. "Complexity Theory Column 89." ACM SIGACT News 46, no. 4 (December 2015): 50–68. http://dx.doi.org/10.1145/2852040.2852052.

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26

Weber, Volker, and Thomas Schwentick. "Dynamic Complexity Theory Revisited." Theory of Computing Systems 40, no. 4 (June 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, and Anna Lichtwarck-Aschoff. "Complexity theory of psychopathology." Journal of Psychopathology and Clinical Science 132, no. 3 (April 2023): 314–23. http://dx.doi.org/10.1037/abn0000740.

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28

Joshi, Ravindra V., and handrashekhar N. "PACS.i - A Complexity Theory based Framework for Battle Management." Webology 19, no. 1 (January 20, 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, no. 6 (December 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, no. 2 (January 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, no. 1 (March 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, and Natalio Krasnogor. "Complexity Measurement Based on Information Theory and Kolmogorov Complexity." Artificial Life 21, no. 2 (May 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, no. 2 (January 25, 2021): 92–113. http://dx.doi.org/10.1038/s42254-020-00275-1.

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34

Huarng, Kun-Huang, and Tiffany Hui-Kuang Yu. "Complexity theory of entrepreneur characteristics." International Entrepreneurship and Management Journal 17, no. 3 (January 14, 2021): 1037–48. http://dx.doi.org/10.1007/s11365-020-00718-2.

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35

Mahn, Holbrook, Vera John-Steiner, and Mihaly Csikszentmihalyi. "Psychological Uses of Complexity Theory." American Journal of Psychology 109, no. 3 (1996): 465. http://dx.doi.org/10.2307/1423017.

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36

Bustamante-Ubilla, Miguel, and Felipe Arenas-Torres. "Epistemological Foundations of Complexity Theory." Sustainability 14, no. 20 (October 17, 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, and Jean-Yves Girard. "Proof Theory and Logical Complexity." Journal of Symbolic Logic 54, no. 4 (December 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, no. 2 (September 30, 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, and F. E. Griffiths. "Complexity theory and palliative care." Palliative Medicine 17, no. 4 (June 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, no. 5 (September 4, 2009): 797–816. http://dx.doi.org/10.1108/00220410910983119.

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41

Hemaspaandra, Lane A., and Alan L. Selman. "Writing and editing complexity theory." ACM SIGACT News 29, no. 4 (December 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, no. 3 (November 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, and M. Scheffer. "Complexity theory and financial regulation." Science 351, no. 6275 (February 18, 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, no. 2 (June 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 (January 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, no. 2 (February 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, no. 2-4 (May 1992): 167–72. http://dx.doi.org/10.1016/0030-4018(92)90153-i.

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48

Ames, W. F., and C. Brezinski. "Complexity theory of real functions." Mathematics and Computers in Simulation 34, no. 2 (August 1992): 186. http://dx.doi.org/10.1016/0378-4754(92)90059-p.

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49

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

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50

Ortman, Scott G., José Lobo, and Michael E. Smith. "Cities: Complexity, theory and history." PLOS ONE 15, no. 12 (December 8, 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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