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Articles de revues sur le sujet « Emergent model »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 16 février 2022

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1

Wu, Yu, Jie Su, Hong Tang et Huaglory Tianfield. « Analysis of the Emergence in Swarm Model Based on Largest Lyapunov Exponent ». Mathematical Problems in Engineering 2011 (2011) : 1–21. http://dx.doi.org/10.1155/2011/745257.

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Emergent behaviors of collective intelligence systems, exemplified by swarm model, have attracted broad interests in recent years. However, current research mostly stops at observational interpretations and qualitative descriptions of emergent phenomena and is essentially short of quantitative analysis and evaluation. In this paper, we conduct a quantitative study on the emergence of swarm model by using chaos analysis of complex dynamic systems. This helps to achieve a more exact understanding of emergent phenomena. In particular, we evaluate the emergent behaviors of swarm model quantitatively by using the chaos and stability analysis of swarm model based on largest Lyapunov exponent. It is concluded that swarm model is at the edge of chaos when emergence occurs, and whether chaotic or stable at the beginning, swarm model will converge to stability with the elapse of time along with interactions among agents.
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Rohde, Leigh. « The Comprehensive Emergent Literacy Model ». SAGE Open 5, no 1 (20 mars 2015) : 215824401557766. http://dx.doi.org/10.1177/2158244015577664.

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Al-Refaie, Abbas, Heba Al-Shalaldeh et Natalija Lepkova. « PROPOSED PROCEDURE FOR OPTIMAL MAINTENANCE SCHEDULING UNDER EMERGENT FAILURES ». JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no 4 (21 avril 2020) : 396–409. http://dx.doi.org/10.3846/jcem.2020.12315.

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Production lines are usually subjected to emergent machine failures. Such emergent failures disrupt pre-established maintenance schedules, which challenge maintenance engineers to react to those failures in real time. This research proposes an optimization procedure for optimizing scheduling repairs of emergent failures. Three optimization models are developed. Model I schedules failures in newly idle repair shops with the objective of maximizing the number of scheduled repairs. Model II maximizes the number of assigned repairs to untapped ranges. Model III maximizes both the number of assigned failure repairs and satisfaction on regular and emergency repairs by resequencing regular and emergent failures in the shop that contains the largest free margin. A real case study is provided to illustrate the proposed optimization procedure. Results reveal that the proposed models efficiently scheduled and sequenced emergent failures in the idle maintenance shops, the untapped ranges between repairs of regular failures, and in the maintenance shop with the largest free margin. In conclusions, the proposed models can greatly support maintenance engineers in planning repairs under unexpected failures.
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Chen, Bin, Yuanzheng Ge, Laobing Zhang, Yongzheng Zhang, Ziming Zhong et Xiaocheng Liu. « A Modeling and Experiment Framework for the Emergency Management in AHC Transmission ». Computational and Mathematical Methods in Medicine 2014 (2014) : 1–18. http://dx.doi.org/10.1155/2014/897532.

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Emergency management is crucial to finding effective ways to minimize or even eliminate the damage of emergent events, but there still exists no quantified method to study the events by computation. Statistical algorithms, such as susceptible-infected-recovered (SIR) models on epidemic transmission, ignore many details, thus always influencing the spread of emergent events. In this paper, we first propose an agent-based modeling and experiment framework to model the real world with the emergent events. The model of the real world is called artificial society, which is composed of agent model, agent activity model, and environment model, and it employs finite state automata (FSA) as its modeling paradigm. An artificial campus, on which a series of experiments are done to analyze the key factors of the acute hemorrhagic conjunctivitis (AHC) transmission, is then constructed to illustrate how our method works on the emergency management. Intervention measures and optional configurations (such as the isolation period) of them for the emergency management are also given through the evaluations in these experiments.
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Manolitsis, George. « Ο αναδυόμενος γραμματισμός στην προσχολική εκπαίδευση : Νέα ζητήματα και εκπαιδευτικές προτάσεις ». Preschool and Primary Education 4, no 1 (30 mai 2016) : 3. http://dx.doi.org/10.12681/ppej.9970.

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The present study aims to describe a theoretical perspective of emergent literacy, based on a detailed literature review of previous theoretical models, and on contemporary research findings on the structure of emergent literacy. A triangular model is suggested to explain the construct of emergent literacy. A prominent role is given to the continuous interaction of various contextual experiences with the components of emergent literacy. The construct of emergent literacy consists of three major components which are considered critical for literacy acquisition. These major components are the knowledge of literacy concepts, literacy skills and literacy behaviours. The knowledge components include concepts about print and letter knowledge; the literacy skills include oral language (vocabulary, listening comprehension, and narrative skills) and metalinguistic (phonological, syntactic and morphological awareness) skills; literacy behaviour includes emergent reading and emergent writing. According to this triangular model, the components of literacy knowledge and literacy skills are intercorrelated, while both components influence the emergence of literacy behaviours such as emergent reading and writing. However, beyond the direct links of each major component to each other, there are also indirect links among them through the effects of the experiences children get from the contexts they live in. These experiences originate from home and school contexts. Educational implications for optimal literacy acquisition from an early age are discussed based on the suggestions of this triangular model.
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Debnath, P. S., et B. C. Paul. « Emergent universe model with dissipative effects ». Modern Physics Letters A 32, no 39 (21 décembre 2017) : 1750216. http://dx.doi.org/10.1142/s0217732317502169.

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Emergent universe model is presented in general theory of relativity with isotropic fluid in addition to viscosity. We obtain cosmological solutions that permit emergent universe scenario in the presence of bulk viscosity that are described by either Eckart theory or Truncated Israel Stewart (TIS) theory. The stability of the solutions are also studied. In this case, the emergent universe (EU) model is analyzed with observational data. In the presence of viscosity, one obtains emergent universe scenario, which however is not permitted in the absence of viscosity. The EU model is compatible with cosmological observations.
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Yadav, Avinash Chand, Kaustubh Manchanda et Ramakrishna Ramaswamy. « Emergent organization in a model market ». Physica A : Statistical Mechanics and its Applications 482 (septembre 2017) : 118–26. http://dx.doi.org/10.1016/j.physa.2017.04.029.

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Mulders, P. J. « Emergent symmetries of the Standard Model ». Physics Letters B 787 (décembre 2018) : 193–97. http://dx.doi.org/10.1016/j.physletb.2018.09.063.

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Hatsuda, Yasuyuki, et Keisuke Okamura. « Emergent classical strings from matrix model ». Journal of High Energy Physics 2007, no 03 (16 mars 2007) : 077. http://dx.doi.org/10.1088/1126-6708/2007/03/077.

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Siebler, Frank. « Emergent Attributes in Person Perception ». Social Psychology 39, no 2 (janvier 2008) : 83–89. http://dx.doi.org/10.1027/1864-9335.39.2.83.

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In person perception, emergent attributes are attributes that people ascribe to members of a rare or novel category combination, although they would not ascribe the same attributes to members of either of the constituent categories. The present paper first describes the processing mechanisms suggested by three theoretical models of attribute emergence. Then, competing response time predictions are derived from the models’ respective mechanisms. An empirical test of these predictions in a laboratory experiment with university students (N = 45) is reported. Results support Hastie, Schroeder, and Weber’s (1990 ) two-stage model, but not Kunda, Miller, and Claire’s (1990 ) impression-formation model or Smith and DeCoster’s (1998 ) connectionist account.
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de Mora, L., M. Butenschön et J. I. Allen. « The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function : a case study with ERSEM ». Geoscientific Model Development 9, no 1 (15 janvier 2016) : 59–76. http://dx.doi.org/10.5194/gmd-9-59-2016.

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Abstract. Ecosystem models are often assessed using quantitative metrics of absolute ecosystem state, but these model–data comparisons are disproportionately vulnerable to discrepancies in the location of important circulation features. An alternative method is to demonstrate the models capacity to represent ecosystem function; the emergence of a coherent natural relationship in a simulation indicates that the model may have an appropriate representation of the ecosystem functions that lead to the emergent relationship. Furthermore, as emergent properties are large-scale properties of the system, model validation with emergent properties is possible even when there is very little or no appropriate data for the region under study, or when the hydrodynamic component of the model differs significantly from that observed in nature at the same location and time.A selection of published meta-analyses are used to establish the validity of a complex marine ecosystem model and to demonstrate the power of validation with emergent properties. These relationships include the phytoplankton community structure, the ratio of carbon to chlorophyll in phytoplankton and particulate organic matter, the ratio of particulate organic carbon to particulate organic nitrogen and the stoichiometric balance of the ecosystem.These metrics can also inform aspects of the marine ecosystem model not available from traditional quantitative and qualitative methods. For instance, these emergent properties can be used to validate the design decisions of the model, such as the range of phytoplankton functional types and their behaviour, the stoichiometric flexibility with regards to each nutrient, and the choice of fixed or variable carbon to nitrogen ratios.
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de Mora, L., M. Butenschön et J. I. Allen. « The role of ecosystem function and emergent relationships in the assessment of global marine ecosystem models : a case study with ERSEM ». Geoscientific Model Development Discussions 8, no 8 (5 août 2015) : 6095–141. http://dx.doi.org/10.5194/gmdd-8-6095-2015.

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Abstract. Ecosystem models are often assessed using quantitative metrics of absolute ecosystem state, but these model-data comparisons are disproportionately vulnerable to discrepancies in the location of important circulation features. An alternative method is to demonstrate the models capacity to represent ecosystem function; the emergence of a coherent natural relationship in a simulation is a strong indication that the model has a appropriate representation of the ecosystem functions that lead to the emergent relationship. Furthermore, as emergent properties are large scale properties of the system, model validation with emergent properties is possible even when there is very little or no appropriate data for the region under study, or when the hydrodynamic component of the model differs significantly from that observed in nature at the same location and time. A selection of published meta-analyses are used to establish the validity of a complex marine ecosystem model and to demonstrate the power of validation with emergent properties. These relationships include the phytoplankton community structure, the ratio of carbon to chlorophyll in phytoplankton and particulate organic matter, the ratio of particulate organic carbon to particulate organic nitrogen and the stoichiometric balance of the ecosystem. These metrics can also inform aspects of the marine ecosystem model not available from traditional quantitative and qualitative methods. For instance, these emergent properties can be used to validate the design decisions of the model, such as the range of phytoplankton functional types and their behaviour, the stoichiometric flexibility with regards to each nutrient, and the choice of fixed or variable carbon to nitrogen ratios.
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Spivak, Eduardo D. « The crab Neohelice (=Chasmagnathus) granulata : an emergent animal model from emergent countries ». Helgoland Marine Research 64, no 3 (4 avril 2010) : 149–54. http://dx.doi.org/10.1007/s10152-010-0198-z.

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O’Connor, Peter J., et Chris J. Jackson. « Applying a Psychobiological Model of Personality to the Study of Leadership ». Journal of Individual Differences 31, no 4 (janvier 2010) : 185–97. http://dx.doi.org/10.1027/1614-0001/a000027.

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Cloninger’s psychobiological model of temperament and character is a general model of personality that has been widely used in clinical psychology, but has seldom been applied in other domains. In this research we apply Cloninger’s model to the study of leadership. Our study comprised 81 participants who took part in a diverse range of small group tasks. Participants rotated through tasks and groups and rated each other on “emergent leadership.” As hypothesized, leader emergence tended to be consistent regardless of the specific tasks and groups. It was found that personality factors from Cloninger, Svrakic, and Przybeck’s (1993) model could explain trait-based variance in emergent leadership. Results also highlight the role of “cooperativeness” in the prediction of leadership emergence. Implications are discussed in terms of our theoretical understanding of trait-based leadership, and more generally in terms of the utility of Cloninger’s model in leadership research.
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Beer, Michael. « Revitalizing Organizations : Change Process and Emergent Model ». Academy of Management Perspectives 1, no 1 (février 1987) : 51–55. http://dx.doi.org/10.5465/ame.1987.4275901.

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Lifang Ge, Xingyou Li et Hongchun Qu. « Incorporating Emergent Growth into Plants Simulation Model ». International Journal of Digital Content Technology and its Applications 6, no 15 (31 août 2012) : 182–90. http://dx.doi.org/10.4156/jdcta.vol6.issue15.22.

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Debnath, Ujjal. « Emergent universe and the phantom tachyon model ». Classical and Quantum Gravity 25, no 20 (30 septembre 2008) : 205019. http://dx.doi.org/10.1088/0264-9381/25/20/205019.

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P. D. Schreuders, I. B. Tawney et P. Ganeshan. « Emergent Biofilm Growth Model Utilizing Autonomous Agents ». Transactions of the ASABE 50, no 6 (2007) : 2355–60. http://dx.doi.org/10.13031/2013.24070.

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Herbert, Sandra, et Robyn Pierce. « An ‘Emergent Model’ for Rate of Change ». International Journal of Computers for Mathematical Learning 13, no 3 (25 novembre 2008) : 231–49. http://dx.doi.org/10.1007/s10758-008-9140-8.

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Zhang, Kaituo, Puxun Wu et Hongwei Yu. « Emergent universe in spatially flat cosmological model ». Journal of Cosmology and Astroparticle Physics 2014, no 01 (29 janvier 2014) : 048. http://dx.doi.org/10.1088/1475-7516/2014/01/048.

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Garraway, B. M., et S. Stenholm. « Emergent randomness in the Jaynes–Cummings model ». Journal of Physics A : Mathematical and Theoretical 41, no 7 (5 février 2008) : 075304. http://dx.doi.org/10.1088/1751-8113/41/7/075304.

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Powell, Justin J. W., Nadine Bernhard et Lukas Graf. « The Emergent European Model in Skill Formation ». Sociology of Education 85, no 3 (3 janvier 2012) : 240–58. http://dx.doi.org/10.1177/0038040711427313.

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Nepf, H. M., J. A. Sullivan et R. A. Zavistoski. « A model for diffusion within emergent vegetation ». Limnology and Oceanography 42, no 8 (décembre 1997) : 1735–45. http://dx.doi.org/10.4319/lo.1997.42.8.1735.

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Schlund, Manuel, Axel Lauer, Pierre Gentine, Steven C. Sherwood et Veronika Eyring. « Emergent constraints on equilibrium climate sensitivity in CMIP5 : do they hold for CMIP6 ? » Earth System Dynamics 11, no 4 (21 décembre 2020) : 1233–58. http://dx.doi.org/10.5194/esd-11-1233-2020.

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Abstract. An important metric for temperature projections is the equilibrium climate sensitivity (ECS), which is defined as the global mean surface air temperature change caused by a doubling of the atmospheric CO2 concentration. The range for ECS assessed by the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report is between 1.5 and 4.5 K and has not decreased over the last decades. Among other methods, emergent constraints are potentially promising approaches to reduce the range of ECS by combining observations and output from Earth System Models (ESMs). In this study, we systematically analyze 11 published emergent constraints on ECS that have mostly been derived from models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) project. These emergent constraints are – except for one that is based on temperature variability – all directly or indirectly based on cloud processes, which are the major source of spread in ECS among current models. The focus of the study is on testing if these emergent constraints hold for ESMs participating in the new Phase 6 (CMIP6). Since none of the emergent constraints considered here have been derived using the CMIP6 ensemble, CMIP6 can be used for cross-checking of the emergent constraints on a new model ensemble. The application of the emergent constraints to CMIP6 data shows a decrease in skill and statistical significance of the emergent relationship for nearly all constraints, with this decrease being large in many cases. Consequently, the size of the constrained ECS ranges (66 % confidence intervals) widens by 51 % on average in CMIP6 compared to CMIP5. This is likely because of changes in the representation of cloud processes from CMIP5 to CMIP6, but may in some cases also be due to spurious statistical relationships or a too small number of models in the ensemble that the emergent constraint was originally derived from. The emergently- constrained best estimates of ECS also increased from CMIP5 to CMIP6 by 12 % on average. This can be at least partly explained by the increased number of high-ECS (above 4.5 K) models in CMIP6 without a corresponding change in the constraint predictors, suggesting the emergence of new feedback processes rather than changes in strength of those previously dominant. Our results support previous studies concluding that emergent constraints should be based on an independently verifiable physical mechanism, and that process-based emergent constraints on ECS should rather be thought of as constraints for the process or feedback they are actually targeting.
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Siregar, Juliana, et Rina Anindita. « A MODEL TO MEASURE EMERGENT LEADERSHIP AMONG EMPLOYEES IN INDONESIA ». Jurnal Aplikasi Manajemen 19, no 1 (1 mars 2021) : 55–68. http://dx.doi.org/10.21776/ub.jam.2021.019.01.06.

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The objective of the research is to develop a model to measure emergent leadership among employees in Indonesia. In doing so, this study first developed a theoretical model by identifying the emergent leadership constructs from the literature and identifying the criteria measurement of these constructs from the literature and thirdly was to validate the theoretical model to measure emergent leadership in Indonesia. The theoretical model consists of 6 emergent leadership constructs measured by a total of 60 measuring criteria. The empirical process of the validation employed data collected from 350 respondents who were working with the team working in Jakarta, Banten, and West Java. The validation aimed to validate the variables that were used to measure each of the constructs by determining statistically that the sample number is adequate; using the Keiser-Meier-Olkin and Bartlett’s test to ensure the applicability of the data for multivariate statistical analysis; to validate the measuring criteria as relevant to emergent leadership and to determine the reliability of each of the emergent leadership constructs to the model. The result showed that emergent leadership can be measured by the following indicators: dominant, friendly, egocentric, intelligence, creativity, open mind, experiences, caring, positive vibes, discipline, good planner, conscientiousness, team player, communicative, and performance management for knowledge-skills-attitude. Furthermore, the results of this study found that the variable of the construct performance management from the previous research was in the third dominant value.
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Ghosh, Saumya, et Sunandan Gangopadhyay. « Thermodynamics and emergent universe ». Modern Physics Letters A 32, no 16 (21 avril 2017) : 1750089. http://dx.doi.org/10.1142/s0217732317500894.

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We show that in the isentropic scenario, the first-order thermodynamical particle creation model gives an emergent universe solution even when the chemical potential is nonzero. However, there exists no emergent universe scenario in the second-order non-equilibrium theory for the particle creation model. We then point out a correspondence between the particle creation model with barotropic equation of state and the equation of state giving rise to an emergent universe without particle creation in spatially flat FRW cosmology.
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Wu, Yu, Yuan Yao et Li Wang. « A Novel Emergence Model of Public Opinion Based on Small-World Network ». Key Engineering Materials 474-476 (avril 2011) : 2263–68. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.2263.

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From the view of complex networks and emergent computation, a new emergence model of public opinion is built. It is based on small-world model, and takes Internet users as agents. Then the system parameters and realistic interactions in this model are set. Simulation results show that our model can demonstrate the whole evolution process of formed or unformed public opinion. The formation evolution of public opinion is in accordance with the real network of public opinion. We can get all kinds of public opinion forms via setting different model parameters. By comparing with the existing network model, there is an obvious advantage for the interaction rules and forms in our model, and it is realistic and reasonable. As a new model for the complex system, it can be used as one of the objects for studying the network behaviors and emergent computation.
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Liu, Qiang, Ming He, Daqin Xu, Ning Ding et Yong Wang. « A Mechanism for Recognizing and Suppressing the Emergent Behavior of UAV Swarm ». Mathematical Problems in Engineering 2018 (13 septembre 2018) : 1–14. http://dx.doi.org/10.1155/2018/6734923.

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Similar to social animals in nature, UAV swarm is also a complex system that can produce emergent behavior. The emergent behavior of UAV swarm in specific airspace is undoubtedly the act that the defense side does not expect to see; therefore, recognition and suppression of the emergent behavior of UAVs swarm are needed. Based on the analysis of the UAV swarm emergent behavior mechanism, by adoptingf-divergence method, UAV swarm emergent behavior was quantified, and a rapid recognition mechanism of emergent behavior has been established, thus, making preparation for the suppression of the emergent behavior. In the academic circle, for the first time, in accordance with heuristic rules governing the algorithms of UAV swarm suppression, principle of emergent behavior suppression has been proposed, failure judgment model of UAV swarm control under interference conditions has been constructed, the stability of UAV swarm has been analyzed, and the combat command process of UAV swarm based on OODA loop has been put forward. Through the simulation, the comparison of information entropy andf-divergence based emergence measurement method has been made, andf-divergence based method has some advantages for measuring the emergence of UAV swarm. From the analysis and discussion of the inhibitory effect on swarm flocking behavior under different interference intensity and timing, conclusion has been drawn that comprehensive suppression on the premise of correct recognition of flocking behavior is the best strategy fighting against UAV swarm emergent behavior.
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Rey, E. Santolaya, A. Herrero et J. Puls. « Synthetic line profiles from unified model atmospheres ». Symposium - International Astronomical Union 163 (1995) : 164–65. http://dx.doi.org/10.1017/s0074180900201873.

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Synthetic line-profiles from unified model atmospheres are presented. The main characteristics of the code are also shown concerning both the calculation of NLTE populations (in a consistent way with the radiation field), and the formal solution to obtain emergent profiles. Stark-broadening is considered in this last step. Emergent Hα profiles for a grid of models are shown for Teff = 50 000 K, covering a wide range of stellar radii and mass-loss.
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Ma, Xing Guan, et Xue Ning Liu. « Assessment on Emergent Pollution Emergency of Water Environment of Qinghe River Basin Based on Fuzzy Integrated Evaluation Method ». Advanced Materials Research 1010-1012 (août 2014) : 570–75. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.570.

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For making timely and correct decisions for emergent pollution emergency of the water environment, combined with fuzzy integrated evaluation method, the model for the evaluation of emergency is established. Qinghe river basin is estimated in 3-level fuzzy integrated evaluation from 6 aspects. The results show that the score of emergent pollution emergency of the water environment of Qinghe river assessment is 3.9273,which close to a good level. The capacity of emergency support and emergency response is superior, and the abilities of emergency prevention, emergency decision-making and emergency recovery are relatively general, which should be completed.Emergent pollution emergency of the water environment is affected by many factors, a multi-target integrated evaluation system should be established. At present, the emergent pollution emergency system of water environment in our country still needs to be improved, the construction of which started relatively late, and the evaluation of which is at the exploration stage. To find the existing problems and shortcomings in emergency system of emergent pollution in water environment, the emergency evaluation index system is established, which improve the water environmental pollution emergency system. However, most of the indicators building the index system are qualitative, which has certain fuzziness when being estimated. Meanwhile it exists certain fuzziness when expressing characterizing attributes of the degree of realization and level of most evaluation indicators, and it is difficult to use specific, accurate data for quantitative description, generally it is expressed by fuzzy degree concepts like ‘Excellent, good, medium, qualified, bad’ and so on. Therefore, the emergent pollution of water environment is estimated by fuzzy integrated evaluation method in this paper.
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Mand, Harpreet (Neena), et Satvir Mand. « The Design Collective : An Emergent Model of Collaboration ». International Journal of Design Management and Professional Practice 6, no 3 (2013) : 13–22. http://dx.doi.org/10.18848/2325-162x/cgp/v06i03/38583.

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Ha, Seung-Yeal, et Hansol Park. « Emergent behaviors of the generalized Lohe matrix model ». Discrete & ; Continuous Dynamical Systems - B 22, no 11 (2017) : 0. http://dx.doi.org/10.3934/dcdsb.2020286.

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Perez, Alejandro, Daniel Sudarsky et James D. Bjorken. « A microscopic model for an emergent cosmological constant ». International Journal of Modern Physics D 27, no 14 (octobre 2018) : 1846002. http://dx.doi.org/10.1142/s0218271818460021.

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The value of the cosmological constant is explained in terms of a noisy diffusion of energy from the low energy particle physics degrees of freedom to the fundamental Planckian granularity which is expected from general arguments in quantum gravity. The quantitative success of our phenomenological model is encouraging and provides possibly useful insights about physics at the scale of quantum gravity.
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Webber, Charles, et Jan Robertson. « Boundary Breaking : An Emergent Model for Leadership Development ». education policy analysis archives 6 (10 décembre 1998) : 21. http://dx.doi.org/10.14507/epaa.v6n21.1998.

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We summarize the results of a cross-cultural on-line project for graduate students in educational leadership at the University of Calgary in Canada and the University of Waikato in New Zealand. A conceptual framework for the collaborative Internet project is presented in conjunction with a summary of relevant literature and participant views of the project. Finally, the authors propose a model for on-line graduate learning in educational leadership with the following components: construction of meaning, provision of a forum for discussion, validation of personal knowledge, generative learning, formal and informal leadership, sense of community, and international perspectives.
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Lochan, K., et T. P. Singh. « Trace Dynamics as a model for emergent spacetime ». Journal of Physics : Conference Series 484 (5 mars 2014) : 012065. http://dx.doi.org/10.1088/1742-6596/484/1/012065.

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Ji, Xun, Chunfu Shao et Bobin Wang. « Stochastic Dynamic Traffic Assignment Model under Emergent Incidents ». Procedia Engineering 137 (2016) : 620–29. http://dx.doi.org/10.1016/j.proeng.2016.01.299.

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Wang, Dongshu, Yadong Zhang et Jianbin Xin. « An emergent deep developmental model for auditory learning ». Journal of Experimental & ; Theoretical Artificial Intelligence 32, no 4 (3 octobre 2019) : 665–84. http://dx.doi.org/10.1080/0952813x.2019.1672795.

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Rangan, Aaditya V., et Lai-Sang Young. « Emergent dynamics in a model of visual cortex ». Journal of Computational Neuroscience 35, no 2 (22 mars 2013) : 155–67. http://dx.doi.org/10.1007/s10827-013-0445-9.

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Ha, Seung-Yeal, et Tommaso Ruggeri. « Emergent Dynamics of a Thermodynamically Consistent Particle Model ». Archive for Rational Mechanics and Analysis 223, no 3 (21 novembre 2016) : 1397–425. http://dx.doi.org/10.1007/s00205-016-1062-3.

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Kvassay, Marcel, Peter Krammer, Ladislav Hluchý et Bernhard Schneider. « Causal Analysis of an Agent-Based Model of Human Behaviour ». Complexity 2017 (2017) : 1–18. http://dx.doi.org/10.1155/2017/8381954.

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This article investigates causal relationships leading to emergence in an agent-based model of human behaviour. A new method based on nonlinear structural causality is formulated and practically demonstrated. The method is based on the concept of acausal partitionof a model variable which quantifies the contribution of various factors to its numerical value. Causal partitions make it possible to judge the relative importance of contributing factors over crucial early periods in which the emergent behaviour of a system begins to form. They can also serve as the predictors of emergence. The time-evolution of their predictive power and its distribution among their components hint at the deeper causes of emergence and the possibilities to control it.
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Ramakrishnan, Subramanian, Thomas Laurent, Manish Kumar et Andrea L. Bertozzi. « Spatiotemporal chemotactic model for ant foraging ». Modern Physics Letters B 28, no 30 (10 décembre 2014) : 1450238. http://dx.doi.org/10.1142/s0217984914502388.

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In this paper, we present a generic theoretical chemotactic model that accounts for certain emergent behaviors observed in ant foraging. The model does not have many of the constraints and limitations of existing models for ants colony dynamics and takes into account the distinctly different behaviors exhibited in nature by ant foragers in search of food and food ferrying ants. Numerical simulations based on the model show trail formation in foraging ant colonies to be an emergent phenomenon and, in particular, replicate behavior observed in experiments involving the species P. megacephala. The results have broader implications for the study of randomness in chemotactic models. Potential applications include the developments of novel algorithms for stochastic search in engineered complex systems such as robotic swarms.
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Wu, Zhi Li, et Xiao Liu. « Emergency Strategy of Civic Critical Infrastructure to the Urgent Events ». Advanced Materials Research 317-319 (août 2011) : 2091–96. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.2091.

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Abstract. Civic critical infrastructure systems have become an inter-connected networked system due to the all kinds of interdependencies. Under the circumstance of emergent events, disruption or failure of one system may lead to the cascading effect on other interdependent systems. We develop a mathematic model based on supply and demand relation of multi-network systems considering the coupling characteristic of critical infrastructures when emergent events happen. The model can offer the emergency strategy to the urgent accident by analyzing events chain after single node fails. The numerical results indicate the approach taken in this research can break through the limit of conventional emergency strategy within single system of dispatching standby products as inventory and to better optimize the total loss of the whole networked system.
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Winkler, Alexander J., Ranga B. Myneni et Victor Brovkin. « Investigating the applicability of emergent constraints ». Earth System Dynamics 10, no 3 (21 août 2019) : 501–23. http://dx.doi.org/10.5194/esd-10-501-2019.

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Abstract. Recent research on emergent constraints (ECs) has delivered promising results in narrowing down uncertainty in climate predictions. The method utilizes a measurable variable (predictor) from the recent historical past to obtain a constrained estimate of change in an entity of interest (predictand) at a potential future CO2 concentration (forcing) from multi-model projections. This procedure first critically depends on an accurate estimation of the predictor from observations and models and second on a robust relationship between inter-model variations in the predictor–predictand space. Here, we investigate issues related to these two themes in a carbon cycle case study using observed vegetation greening sensitivity to CO2 forcing as a predictor of change in photosynthesis (gross primary productivity, GPP) for a doubling of preindustrial CO2 concentration. Greening sensitivity is defined as changes in the annual maximum of green leaf area index (LAImax) per unit CO2 forcing realized through its radiative and fertilization effects. We first address the question of how to realistically characterize the predictor of a large area (e.g., greening sensitivity in the northern high-latitude region) from pixel-level data. This requires an investigation into uncertainties in the observational data source and an evaluation of the spatial and temporal variability in the predictor in both the data and model simulations. Second, the predictor–predictand relationship across the model ensemble depends on a strong coupling between the two variables, i.e., simultaneous changes in GPP and LAImax. This coupling depends in a complex manner on the magnitude (level), time rate of application (scenarios), and effects (radiative and/or fertilization) of CO2 forcing. We investigate how each one of these three aspects of forcing can affect the EC estimate of the predictand (ΔGPP). Our results show that uncertainties in the EC method primarily originate from a lack of predictor comparability between observations and models, the observational data source, and temporal variability of the predictor. The disagreement between models on the mechanistic behavior of the system under intensifying forcing limits the EC applicability. The discussed limitations and sources of uncertainty in the EC method go beyond carbon cycle research and are generally applicable in Earth system sciences.
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Drori, Israel, et Benson Honig. « A Process Model of Internal and External Legitimacy ». Organization Studies 34, no 3 (mars 2013) : 345–76. http://dx.doi.org/10.1177/0170840612467153.

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We report the results of a longitudinal case study depicting the relationship between internal and external legitimacy at Orion, an emergent creative professional firm. We address the following questions: How do different types of legitimacy emerge, and how do they interact to shape organizational evolution? Introducing a staged process model, we demonstrate that organizational legitimacy is a product of action, which is continually reproduced and reconstructed by members of an organization in concert with external legitimation activities. Internal and external legitimacy evolve through a process of emergence, validation, diffusion and consensus, sometimes recursively repeating the cycle when imbalances result in conflict and friction.
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O'Connor, Timothy, et Jonathan D. Jacobs. « Emergent Individuals and the Resurrection ». European Journal for Philosophy of Religion 2, no 2 (23 septembre 2010) : 69–88. http://dx.doi.org/10.24204/ejpr.v2i2.368.

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We present an original emergent individuals view of human persons, on which persons are substantial biological unities that exemplify metaphysically emergent mental states. We argue that this view allows for a coherent model of identity-preserving resurrection from the dead consistent with orthodox Christian doctrine, one that improves upon alternatives accounts recently proposed by a number of authors. Our model is a variant of the “falling elevator” model advanced by Dean Zimmerman that, unlike Zimmerman’s, does not require a closest continuer account of personal identity. We end by raising some remaining theological concerns.
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Sharif, M., et Ayesha Sarwar. « Thermodynamics of anisotropic emergent universe in nonlinear electrodynamics ». Modern Physics Letters A 31, no 22 (14 juillet 2016) : 1650129. http://dx.doi.org/10.1142/s0217732316501297.

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In this paper, we study the emergent universe (EU) with interacting fluids in the background of Bianchi type I (BI) universe model. For this purpose, we consider polytropic equation of state (EoS) which constitutes three non-interacting fluids. In order to check the viability of the cosmological models, we take a two-fluid model interacting with dust fluid and a three-fluid model in which each fluid has nonlinear EoS interacting at [Formula: see text]. It turns out that both models are realistic cosmological viable. We also check the validity of the generalized second law of thermodynamics (GSLT) for EU with interacting fluids. Finally, we study its validity in the framework of nonlinear electrodynamics (NLED) on apparent horizon.
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JOHNS, MICHAEL A., et MICHAEL T. PUTNAM. « Language membership as a gradient emergent feature ». Bilingualism : Language and Cognition 22, no 04 (28 juin 2018) : 701–2. http://dx.doi.org/10.1017/s136672891800072x.

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In their keynote article, Dijkstra, Wahl, Buytenhuijs, van Halem, Al-jibouri, de Korte, and Rekké (2018) introduce the Multilink model representing an integrated bi/multilingual lexicon. This proposal builds upon both previous and recent research on an integrated cognitive architecture underlying the language faculty (for a summary, see e.g., Putnam, Carlson & Reitter, 2018). In our view, the adjustments proposed by the authors are an improvement on previous instantiations of similar models such as those discussed in the present article. In our remarks we explicate how the Multilink model may be further enhanced, by making any appeal to language-specific nodes or representations epiphenomenal. To achieve this, we propose a novel approach to representing language membership as the result of gradient emergent principles that builds upon the integrated lexicon underlying the Multilink model.
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Engelseth, Per, Richard Glavee-Geo, Artur Janusz et Enoch Niboi. « The Emergent Nature of Networked Sustainable Procurement ». Sustainability 13, no 1 (25 décembre 2020) : 134. http://dx.doi.org/10.3390/su13010134.

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The complex and networked nature of sustainable procurement is evoked through confronting two conceptual models, the triple bottom line-inspired parallel-type “interlocking circles model” with the more systems-oriented series-type “concentric circles model”. This endeavor is integrated with a developed application of contingency theory rooted in network thinking. Two subcase narratives from Ghana, one in the upstream portion of the supply chain associated with exploration and platform-based production, and the other an oil refinery in the downstream part are provided. Interaction, interdependency, and integration, all associated with value, conceptually ground the analyses. A developed empirically grounded conceptual model depicts sustainability as systemically intertwined with value and networked in an immediate business, network, and wider noncontextual natural and social environment. Sustainable procurement is networked, a value creating managerial process rather than, as the triple bottom line posits, a norm “out there” directing managerial action. Sustainability is inherently complex. Rather than guiding action through deterministic ethical norms, it emerges as emergent practices primarily through purposeful interaction within the supply network that instead may be interpreted and developed in a long-term sense through using the two discussed conceptual models on sustainable production.
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Truszkowska, Agnieszka, Qin Yu, Peter Alex Greaney, T. Matthew Evans et Jamie J. Kruzic. « Developing a Crystal Plasticity Model for Metallic Materials Based on the Discrete Element Method ». MRS Advances 2, no 48 (2017) : 2609–14. http://dx.doi.org/10.1557/adv.2017.430.

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ABSTRACTFailure of metallic materials due to plastic and/or creep deformation occur by the emergence of necking, microvoids, and cracks at heterogeneities in the material microstructure. While many traditional deformation modeling approaches have difficulty capturing these emergent phenomena, the discrete element method (DEM) has proven effective for the simulation of materials whose properties and response vary over multiple spatial scales, e.g., bulk granular materials. The DEM framework inherently provides a mesoscale simulation approach that can be used to model macroscopic response of a microscopically diverse system. DEM naturally captures the heterogeneity and geometric frustration inherent to deformation processes. While DEM has recently been adapted successfully for modeling the fracture of brittle solids, to date it has not been used for simulating metal deformation. In this paper, we present our progress in reformulating DEM to model the key elastic and plastic deformation characteristics of FCC polycrystals to create an entirely new crystal plasticity modeling methodology well-suited for the incorporation of heterogeneities and simulation of emergent phenomena.
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Moss, Robert, Ed Kazmierczak, Michael Kirley et Peter Harris. « A computational model for emergent dynamics in the kidney ». Philosophical Transactions of the Royal Society A : Mathematical, Physical and Engineering Sciences 367, no 1896 (13 juin 2009) : 2125–40. http://dx.doi.org/10.1098/rsta.2008.0313.

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In this paper, concepts from network automata are adapted and extended to model complex biological systems. Specifically, systems of nephrons , the operational units of the kidney, are modelled and the dynamics of such systems are explored. Nephron behaviour can fluctuate widely and, under certain conditions, become chaotic. However, the behaviour of the whole kidney remains remarkably stable and blood solute levels are maintained under a wide range of conditions even when many nephrons are damaged or lost. A network model is used to investigate the stability of systems of nephrons and interactions between nephrons. More sophisticated dynamics are explored including the observed oscillations in single nephron filtration rates and the development of stable ionic and osmotic gradients in the inner medulla which contribute to the countercurrent exchange mechanism. We have used the model to explore the effects of changes in input parameters including hydrostatic and osmotic pressures and concentrations of ions, such as sodium and chloride. The intrinsic nephron control, tubuloglomerular feedback, is included and the effects of coupling between nephrons are explored in two-, eight- and 72-nephron models.
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