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Journal articles on the topic 'Computational emergence'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Humphreys, Paul. "Computational and Conceptual Emergence." Philosophy of Science 75, no. 5 (2008): 584–94. http://dx.doi.org/10.1086/596776.

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2

Han, Kyoungseok, Tam W. Nguyen, and Kanghyun Nam. "Battery Energy Management of Autonomous Electric Vehicles Using Computationally Inexpensive Model Predictive Control." Electronics 9, no. 8 (2020): 1277. http://dx.doi.org/10.3390/electronics9081277.

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With the emergence of vehicle-communication technologies, many researchers have strongly focused their interest in vehicle energy-efficiency control using this connectivity. For instance, the exploitation of preview traffic enables the vehicle to plan its speed and position trajectories given a prediction horizon so that energy consumption is minimized. To handle the strong uncertainties in the traffic model in the future, a constrained controller is generally employed in the existing researches. However, its expensive computational feature largely prevents its commercialization. This paper ad

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3

Hummon, Norman P., and Thomas J. Fararo. "The emergence of computational sociology." Journal of Mathematical Sociology 20, no. 2-3 (1995): 79–87. http://dx.doi.org/10.1080/0022250x.1995.9990155.

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4

Leiser, D. "Computational emergence and develop-mental emergence : a sobering survey." Intellectica. Revue de l'Association pour la Recherche Cognitive 22, no. 1 (1996): 203–20. http://dx.doi.org/10.3406/intel.1996.1524.

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5

Salgado, Mauricio, and Nigel Gilbert. "Emergence and Communication in Computational Sociology." Journal for the Theory of Social Behaviour 43, no. 1 (2012): 87–110. http://dx.doi.org/10.1111/jtsb.12004.

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6

Knight, Terry. "Computing with Emergence." Environment and Planning B: Planning and Design 30, no. 1 (2003): 125–55. http://dx.doi.org/10.1068/b12914.

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The concept of emergence has its roots in 19th-century philosophy. Today it is central to many computational systems which retain the hallmarks of emergence laid out much earlier. The role of emergence in creative design and its unique embodiment in shape grammars have been emphasized by March, Stiny, and others. Shape grammars generate emergent shapes—shapes not predefined in a grammar. Emergent shapes are not only the output of a shape grammar computation; they can be the input for further computation. The history of emergence and its characterization in shape grammars are discussed here. Di

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7

Wagner, Hermann, and Dirk Kautz. "Evolutionary conservation and ontogenetic emergence of neural algorithms." Behavioral and Brain Sciences 21, no. 2 (1998): 285–86. http://dx.doi.org/10.1017/s0140525x98521176.

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Neural algorithms are conserved during evolution. Neurons with different shapes and using different molecular mechanisms can perform the same computation. However, evolutionary conservation of neural algorithms is not sufficient for claiming the realization of an algorithm for a specific computational problem. A plausible scheme for ontogenetic emergence of the structure of the algorithm must also be provided.

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8

Magnani, Lorenzo. "Eccentric Computational Embodiments: Cognitive Domestication of External Entities." Proceedings 47, no. 1 (2020): 36. http://dx.doi.org/10.3390/proceedings2020047036.

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Eco-cognitive computationalism sees computation in context, adopting the intellectual visions advanced by the cognitive science perspectives on embodied, situated, and distributed cognition. It is in this framework that we can fruitfully study the relevance in recent computer science devoted to the simplification of cognitive and motor tasks generated in organic entities by the morphological aspects. Ignorant bodies can be cognitively “domesticated” to become useful “mimetic bodies'', which originate eccentric new computational embodiments capable of rendering an involved computation simpler a

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9

Magnani, Lorenzo. "Eccentric Computational Embodiments: Cognitive Domestication of External Entities." Proceedings 47, no. 1 (2020): 36. http://dx.doi.org/10.3390/proceedings47010036.

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Eco-cognitive computationalism sees computation in context, adopting the intellectual visions advanced by the cognitive science perspectives on embodied, situated, and distributed cognition. It is in this framework that we can fruitfully study the relevance in recent computer science devoted to the simplification of cognitive and motor tasks generated in organic entities by the morphological aspects. Ignorant bodies can be cognitively “domesticated” to become useful “mimetic bodies'', which originate eccentric new computational embodiments capable of rendering an involved computation simpler a

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10

ZHANG, Chen, Yun TANG, Jie LI, QiuPeng PENG, and KeJia LI. "Computational systems toxicology: Emergence, development and application." Chinese Science Bulletin 60, no. 19 (2015): 1751–60. http://dx.doi.org/10.1360/n972014-01400.

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11

Barhen, Jacob, Vladimir Protopopescu, Sarit Barhen, and Jack Wells. "Asynchronous Computing and Emergence of Computational Chaos." IFAC Proceedings Volumes 36, no. 6 (2003): 93–98. http://dx.doi.org/10.1016/s1474-6670(17)36413-3.

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12

Huneman, Philippe. "Emergence Made Ontological? Computational versus Combinatorial Approaches." Philosophy of Science 75, no. 5 (2008): 595–607. http://dx.doi.org/10.1086/596777.

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13

Kirchner, Jan H., and Julijana Gjorgjieva. "Emergence of synaptic organization and computation in dendrites." Neuroforum 28, no. 1 (2021): 21–30. http://dx.doi.org/10.1515/nf-2021-0031.

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Abstract Single neurons in the brain exhibit astounding computational capabilities, which gradually emerge throughout development and enable them to become integrated into complex neural circuits. These capabilities derive in part from the precise arrangement of synaptic inputs on the neurons’ dendrites. While the full computational benefits of this arrangement are still unknown, a picture emerges in which synapses organize according to their functional properties across multiple spatial scales. In particular, on the local scale (tens of microns), excitatory synaptic inputs tend to form cluste

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14

Magnani, Lorenzo. "Conceptualizing Machines in an Eco-Cognitive Perspective." Philosophies 7, no. 5 (2022): 94. http://dx.doi.org/10.3390/philosophies7050094.

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Eco-cognitive computationalism explores computing in context, adhering to some of the key ideas presented by modern cognitive science perspectives on embodied, situated, and distributed cognition. First of all, when physical computation is seen from the perspective of the ecology of cognition it is possible to clearly understand the role Turing assigned to the process of “education” of the machine, paralleling it to the education of human brains, in the invention of the Logical Universal Machine. It is this Turing’s emphasis on education that furnishes the justification of the conceptualizatio

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15

Bartczak, Witold M., and Jerzy Kroh. "Computational radiation chemistry: The emergence of a new field." International Journal of Radiation Applications and Instrumentation. Part C. Radiation Physics and Chemistry 37, no. 4 (1991): 551–54. http://dx.doi.org/10.1016/1359-0197(91)90173-y.

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16

Rigoutsos, Isidore, Aris Floratos, Laxmi Parida, Yuan Gao, and Daniel Platt. "The Emergence of Pattern Discovery Techniques in Computational Biology." Metabolic Engineering 2, no. 3 (2000): 159–77. http://dx.doi.org/10.1006/mben.2000.0151.

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17

Little, Hannah, Heikki Rasilo, Sabine van der Ham, and Kerem Eryılmaz. "Empirical approaches for investigating the origins of structure in speech." Interaction Studies 18, no. 3 (2017): 330–51. http://dx.doi.org/10.1075/is.18.3.03lit.

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In language evolution research, the use of computational and experimental methods to investigate the emergence of structure in language is exploding. In this review, we look exclusively at work exploring the emergence of structure in speech, on both a categorical level (what drives the emergence of an inventory of individual speech sounds), and a combinatorial level (how these individual speech sounds emerge and are reused as part of larger structures). We show that computational and experimental methods for investigating population-level processes can be effectively used to explore and measur

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18

Pedrycz, Witold. "Computational Intelligence: Retrospection and Future." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 1 (2017): 9–12. http://dx.doi.org/10.20965/jaciii.2017.p0009.

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This study is aimed at a brief, carefully focused retrospective view at the Computational Intelligence – a paradigm supporting the analysis and synthesis of intelligent systems. We stress the reason behind the emergence of this discipline and identify its main features. We highlight the synergistic aspects of Computational Intelligence arising from an interaction and collaboration of fuzzy sets, neural networks, and evolutionary optimization. Some promising directions of future fundamental and applied research are also identified.

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19

MAKIGUCHI, Motohiro, and Jun-ichi INOUE. "Emergence of Anisotropy in Flock Simulations and Its Computational Analysis." Transactions of the Society of Instrument and Control Engineers 46, no. 11 (2010): 666–75. http://dx.doi.org/10.9746/sicetr.46.666.

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20

ten Bosch, Louis, Lou Boves, Hugo Van Hamme, and Roger K. Moore. "A Computational Model of Language Acquisition: the Emergence of Words." Fundamenta Informaticae 90, no. 3 (2009): 229–49. http://dx.doi.org/10.3233/fi-2009-0016.

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21

Mahdi, Surya, and Keith Pavitt. "Key National Factors in the Emergence of Computational Chemistry Firms." International Journal of Innovation Management 01, no. 04 (1997): 355–86. http://dx.doi.org/10.1142/s1363919697000188.

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Using information compiled from the Internet, we find that the number of computational chemistry firms in each of the 10 OECD countries (The United States, the United Kingdom, Germany, Japan, France, the Netherlands, Canada, Switzerland, Sweden and Australia) is: (i) strongly correlated with the country's strength in computational chemistry science and with the extent of the national scientific networks; (ii) is weakly correlated with the size of the domestic markets; and (iii) not correlated with the extent of the infrastructure as measured by the number of supercomputers installed. These res

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22

Johnson, Mark, and Andrew Oliver. "Computational modelling of the emergence of representations within cerebral cortex." Infant Behavior and Development 19 (April 1996): 180. http://dx.doi.org/10.1016/s0163-6383(96)90235-0.

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23

Ono, Naoaki. "Computational studies on conditions of the emergence of autopoietic protocells." Biosystems 81, no. 3 (2005): 223–33. http://dx.doi.org/10.1016/j.biosystems.2005.04.005.

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24

Huneman, Philippe. "Determinism, predictability and open-ended evolution: lessons from computational emergence." Synthese 185, no. 2 (2010): 195–214. http://dx.doi.org/10.1007/s11229-010-9721-7.

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25

Moyal, Roy, Tomer Fekete, and Shimon Edelman. "Dynamical Emergence Theory (DET): A Computational Account of Phenomenal Consciousness." Minds and Machines 30, no. 1 (2020): 1–21. http://dx.doi.org/10.1007/s11023-020-09516-9.

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26

Kampouridis, Stylianos, and Theodore Arabatzis. "Bytes as Test Tubes." Historical Studies in the Natural Sciences 55, no. 3 (2025): 251–86. https://doi.org/10.1525/hsns.2025.55.3.251.

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We trace the emergence of computational methods in quantum chemistry, from their introduction in the late 1950s until their acceptance and use as a primary exploratory tool in the 1980s. We argue for the following theses: First, to strengthen the independence of computational models from experiments, quantum chemists used rhetorical strategies that tended to overstate the relation of their models with theory and understate the way they were guided by experiment. Second, alliances with organic chemists were crucial for disseminating computations. Third, pictorial representations facilitated the

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27

Suharto, Hari. "Systematic Literature Review (SLR) Computational Thinking Learning Science in the Period 2012 - 2021." Journal of Educational Technology and Instruction 1, no. 1 (2022): 1–13. http://dx.doi.org/10.70290/jeti.v1i1.1.

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The study review of the literature systematic displays an overview of research on computational thinking in learning science in the period 2012 to 2021. In the process of selection of data in this study using a flow diagram of a Prism that can show the activity of the inclusion and exclusion of the search results data. The search is performed through the database of Springer to establish some inclusion criteria. The research variables analyzed include the distribution of publications per year, the frequency of the emergence of the term “computational thinking” in the title of the document. The

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28

Shults, F. LeRon, Wesley J. Wildman, Justin E. Lane, Christopher J. Lynch, and Saikou Diallo. "Multiple Axialities: A Computational Model of the Axial Age." Journal of Cognition and Culture 18, no. 5 (2018): 537–64. http://dx.doi.org/10.1163/15685373-12340043.

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AbstractDebates over the causes and consequences of the “Axial Age” – and its relevance for understanding and explaining “modernity” – continue to rage within and across a wide variety of academic disciplines, including anthropology, sociology, archaeology, history, social theory, and cognitive science. We present a computational model that synthesizes three leading theories about the emergence of axial civilizations. Although these theories are often treated as competitors (especially by their proponents), our computational model shows how their most important conceptual insights and empirica

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29

Jin, Zuyi. "Deep Learning-Based Lightweight Target Detection." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 406–10. http://dx.doi.org/10.54097/gxvv0r79.

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With the rapid development of computer vision technology, target detection techniques have also been widely used in various fields. However, traditional target detection methods usually require a large amount of computational resources and complex model structures, which pose challenges to the realization and deployment of target detection. Therefore, lightweight target detection methods arise. Lightweight target detection methods refer to reducing the computational and parametric quantities of the model as much as possible while keeping the detection accuracy unchanged. The emergence of this

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30

Аbdumalikovich, Аlimov Mirzoxid. "METHODOLOGICAL PRINCIPLES OF DEVELOPMENT OF CALCULATION THINKING IN THE EDUCATIONAL PROCESS." CURRENT RESEARCH JOURNAL OF PEDAGOGICS 04, no. 02 (2023): 1–6. http://dx.doi.org/10.37547/pedagogics-crjp-04-02-01.

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This article describes the emergence of the concepts of thinking, computational thinking, knowledge expression and uncovering hidden knowledge, its development prospects and features in science, in the educational process. Also, computational thinking as a bridge between science and technology, methods of thinking applicable to different disciplines are presented.

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31

Nguyen, Hoang Linh, Huynh Quang Linh, Paolo Matteini, Giovanni La Penna та Mai Suan Li. "Emergence of Barrel Motif in Amyloid-β Trimer: A Computational Study". Journal of Physical Chemistry B 124, № 47 (2020): 10617–31. http://dx.doi.org/10.1021/acs.jpcb.0c05508.

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32

Tano, Shun’ichi. "Deep Fusion of Computational and Symbolic Intelligent Processing by Symbol Emergence." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 6 (2000): 443–49. http://dx.doi.org/10.20965/jaciii.2000.p0443.

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Through the development of the intelligent user interface system called THE RVI-desk, we found that it was indispensable to combine symbolic and computational processing in order to realize a software architecture for the next-generation intelligent user interface. Several early works toward the combination of symbolic and computational processing were briefly reviewed but the level of fusion is not deep, high and wide enough. Then two simple models, Model-A and Model-B, are described as the first step toward fusing computational and symbolic processing. Model-B is an extension of Model-A. Eac

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33

Kumar, Vijay. "Computational materials science: The emergence of predictive capabilities of material behaviour." Sadhana 28, no. 3-4 (2003): 815–31. http://dx.doi.org/10.1007/bf02706461.

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34

Inagaki, Kosaku. "The emergence hypothesis and computational universality at the edge of chaos." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 82, no. 11 (1999): 1–8. http://dx.doi.org/10.1002/(sici)1520-6440(199911)82:11<1::aid-ecjc1>3.0.co;2-4.

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35

Cooper, S. Barry. "The machine as data: a computational view of emergence and definability." Synthese 192, no. 7 (2015): 1955–88. http://dx.doi.org/10.1007/s11229-015-0803-4.

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36

KANSAL, A. R., S. TORQUATO, E. A. CHIOCCA, and T. S. DEISBOECK. "Emergence of a Subpopulation in a Computational Model of Tumor Growth." Journal of Theoretical Biology 207, no. 3 (2000): 431–41. http://dx.doi.org/10.1006/jtbi.2000.2186.

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37

Borenstein, Elhanan, and Eytan Ruppin. "The evolutionary link between mirror neurons and imitation: An evolutionary adaptive agents model." Behavioral and Brain Sciences 28, no. 2 (2005): 127–28. http://dx.doi.org/10.1017/s0140525x05240037.

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This commentary validates the fundamental evolutionary interconnection between the emergence of imitation and the mirror system. We present a novel computational framework for studying the evolutionary origins of imitative behavior and examining the emerging underlying mechanisms. Evolutionary adaptive agents that evolved in this framework demonstrate the emergence of neural “mirror” mechanisms analogous to those found in biological systems.

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38

Li, Bo, Duoyong Sun, Shuquan Guo, and Zihan Lin. "Agent Based Simulation of Group Emotions Evolution and Strategy Intervention in Extreme Events." Discrete Dynamics in Nature and Society 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/464190.

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Agent based simulation method has become a prominent approach in computational modeling and analysis of public emergency management in social science research. The group emotions evolution, information diffusion, and collective behavior selection make extreme incidents studies a complex system problem, which requires new methods for incidents management and strategy evaluation. This paper studies the group emotion evolution and intervention strategy effectiveness using agent based simulation method. By employing a computational experimentation methodology, we construct the group emotion evolut

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39

Haalman, Iris, and Eilon Vaadia. "Emergence of Spatio-Temporal Patterns in Neuronal Activity." Zeitschrift für Naturforschung C 53, no. 7-8 (1998): 657–69. http://dx.doi.org/10.1515/znc-1998-7-818.

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Abstract Neuronal Activity, Emergence of Spatio-Temporal Patterns This paper explores if dynamic modulation of coherent firing serves cortical functions. We recorded neuronal activity in the frontal cortex of behaving monkeys and found that tempo ral coincidences of spikes firing of different neurons can emerge within a fraction of a second in relation to the animal behavior. The temporal patterns of the correlation could not be predicted from the modulations of the neurons firing rate and finally, the patterns of correla tion depend on the distance between neurons. These findings call for a

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40

Knežević, Anamarija, Jurica Novak, Anita Bosak та Marijana Vinković. "Structural isomers of saligenin-based β2-agonists: synthesis and insight into the reaction mechanism". Organic & Biomolecular Chemistry 18, № 47 (2020): 9675–88. http://dx.doi.org/10.1039/d0ob02095h.

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41

Kuznetsov, Andrew V. "Emergence in Interactive Embedded Art." International Journal of Art, Culture and Design Technologies 8, no. 2 (2019): 1–19. http://dx.doi.org/10.4018/ijacdt.2019070101.

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This article is devoted to the problem of novelty in embedded art. Exciting possibilities of microelectronics for visual art are considered. Implementations of available microcontrollers, sensors and actuators are given. A new kind of interactions between spectators and artworks with embedded electronics was investigated. Special attention is paid to the effect of emergence, which is generated by this interaction. Computational artwork is being considered in a new unconventional context. An aesthetic difference between the deterministic and nondeterministic algorithms was shown. The combinatio

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42

Xu, Xiaoya, Weijie Zhu, Xiufeng Fu, et al. "Hybrid Trust Model for Node-Centric Misbehavior Detection in Dynamic Behavior-Homogeneous Clusters." Applied Sciences 15, no. 4 (2025): 2020. https://doi.org/10.3390/app15042020.

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In vehicular ad hoc networks (VANETs), the presence of untrustworthy nodes poses a significant threat, impacting the network’s reliability. This has led to the emergence of node-centric misbehavior detection as a crucial aspect of VANET security, focusing on the behavior of vehicles rather than the content of their interactions. While the trust model is a popular approach, the computational complexity of trust computations and management in VANETs is attributed to the intricate relationships among vehicles and the dynamic autonomous movement of nodes. To tackle these challenges, we developed a

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43

Varghese, Sindhu, and Ashok Palaniappan. "Computational Pharmacogenetics of P-Glycoprotein Mediated Antiepileptic Drug Resistance." Open Bioinformatics Journal 11, no. 1 (2018): 197–207. http://dx.doi.org/10.2174/1875036201811010197.

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Background:The treatment of epilepsy using antiepileptogenic drugs is complicated by drug resistance, resulting in treatment failure in more than one-third of cases. Human P-glycoprotein (hPGP;MDR1) is a known epileptogenic mediator.Methods:Given that experimental investigations have suggested a role for pharmacogenetics in this treatment failure, it would be of interest to study hPGP polymorphisms that might contribute to the emergence of drug resistance. Changes in protein functional activity could result from mutations as well as altered abundance. Bioinformatics approaches were used to ass

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44

Cooper, S. Barry. "Emergence as a computability-theoretic phenomenon." Applied Mathematics and Computation 215, no. 4 (2009): 1351–60. http://dx.doi.org/10.1016/j.amc.2009.04.050.

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45

Magnani, Lorenzo. "Disseminated Computation, Cognitive Domestication of New Ignorant Substrates, and Overcomputationalization." Proceedings 47, no. 1 (2020): 29. http://dx.doi.org/10.3390/proceedings2020047029.

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Eco-cognitive computationalism considers computation in the context of following some of the main tenets advanced by the recent cognitive science views on embodied, situated and distributed cognition. It is in the framework of this eco-cognitive perspective that we can usefully analyze the recent attention in computer science devoted to the importance of the simplification of cognitive and motor tasks caused in organic entities by the morphological features: ignorant bodies can be domesticated to become useful “mimetic bodies”, that is to be able to render an intertwined computation simpler, r

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46

Magnani, Lorenzo. "Disseminated Computation, Cognitive Domestication of New Ignorant Substrates, and Overcomputationalization." Proceedings 47, no. 1 (2020): 29. http://dx.doi.org/10.3390/proceedings47010029.

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Abstract:

Eco-cognitive computationalism considers computation in the context of following some of the main tenets advanced by the recent cognitive science views on embodied, situated and distributed cognition. It is in the framework of this eco-cognitive perspective that we can usefully analyze the recent attention in computer science devoted to the importance of the simplification of cognitive and motor tasks caused in organic entities by the morphological features: ignorant bodies can be domesticated to become useful “mimetic bodies”, that is to be able to render an intertwined computation simpler, r

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47

Smarandache, Florentin, Ștefan Vlăduțescu, Ioan Constantin Dima, and Dan Valeriu Voinea. "An Operational View in Computational Construction of Information." Applied Mechanics and Materials 795 (October 2015): 201–8. http://dx.doi.org/10.4028/www.scientific.net/amm.795.201.

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The paper aims to explain the technology of emergence of information. Our research proves that information as communicational product is the result of processing within some operations, actions, mechanisms and strategies of informational material meanings. Are determined eight computational-communicative operations of building information.Information occurs in two communication phases, syncretic and the segregation-synthetic. The syncretic phase consists of four operations: referral of significant field, primary delimitation of information, detection-looking information and an anticipative-dra

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48

Schonbein, Whit. "Can computational simulations of language emergence support a ‘use’ theory of meaning?" Philosophical Psychology 23, no. 1 (2010): 59–74. http://dx.doi.org/10.1080/09515080903532258.

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49

Rasmussen, Steen, Carsten Knudsen, Rasmus Feldberg, and Morten Hindsholm. "The coreworld: Emergence and evolution of cooperative structures in a computational chemistry." Physica D: Nonlinear Phenomena 42, no. 1-3 (1990): 111–34. http://dx.doi.org/10.1016/0167-2789(90)90070-6.

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50

Klüver, Jürgen, Jörn Schmidt, and Christina Stoica. "The Emergence of Social Order by Processes of Typifying: A Computational Model." Journal of Mathematical Sociology 29, no. 2 (2005): 155–76. http://dx.doi.org/10.1080/00222500590920879.

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