Relevant bibliographies by topics / Diagramme de causalité

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Diagramme de causalité'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Diagramme de causalité"

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Junglas, Peter. "Causality of System Dynamics Diagrams." SNE Simulation Notes Europe 26, no. 3 (2016): 147–54. http://dx.doi.org/10.11128/sne.26.tn.10343.

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BOUAZIZ, Yosra Jlaiel, and Daniel THIEL. "Enquête sur les mécanismes de pilotage des compétences dans le cadre de la mise en oeuvre de projets ERP en tunisie." Revue Française de Gestion Industrielle 32, no. 2 (2013): 63–84. http://dx.doi.org/10.53102/2013.32.02.696.

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Cette recherche s'intéresse aux décisions de pilotage des compétences dans le cadre de mise en oeuvre de projets ERP. Après une revue de littérature et une pré-enquête sur le terrain, nous avons lancé une enquête auprès de 31 chefs de projets en Tunisie. Cet échantillon représente 30% de la population totale visée, à savoir les entreprises ayant récemment implanté un ERP composé d'au moins trois modules. Une analyse statistique des données a été réalisée à partir de 651 décisions observées. Ces décisions ont également été formalisées qualitativement à l'aide de diagrammes de causalité permetta
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Zhang, Qin. "Probabilistic reasoning based on dynamic causality trees/diagrams." Reliability Engineering & System Safety 46, no. 3 (1994): 209–20. http://dx.doi.org/10.1016/0951-8320(94)90114-7.

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Wu, Bing, Luyao Kou, and Qi Ma. "Research on HFACS Based on Accident Causality Diagram." Open Journal of Safety Science and Technology 07, no. 02 (2017): 77–85. http://dx.doi.org/10.4236/ojsst.2017.72007.

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Wang, Hongchun. "A Fuzzy Reasoning Algorithm in Hybrid Causality Diagram." Journal of Algorithms & Computational Technology 6, no. 4 (2012): 623–38. http://dx.doi.org/10.1260/1748-3018.6.4.623.

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Eichler, Michael. "Granger causality and path diagrams for multivariate time series." Journal of Econometrics 137, no. 2 (2007): 334–53. http://dx.doi.org/10.1016/j.jeconom.2005.06.032.

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Jin, Feng, Jun Zhao, Chunyang Sheng, and Wei Wang. "Causality diagram-based scheduling approach for blast furnace gas system." IEEE/CAA Journal of Automatica Sinica 5, no. 2 (2018): 587–94. http://dx.doi.org/10.1109/jas.2017.7510715.

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Perdicoúlis, Anastássios, and Jake Piper. "Network and system diagrams revisited: Satisfying CEA requirements for causality analysis." Environmental Impact Assessment Review 28, no. 7 (2008): 455–68. http://dx.doi.org/10.1016/j.eiar.2007.08.004.

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Zhang, Chun You, and Xiao Qiang Wu. "Intrusion Scenario Dynamic Correlation Algorithm Based on Single Value Causality Diagram." Advanced Materials Research 926-930 (May 2014): 3063–67. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3063.

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In order to obtain the effective network intrusion alarm information, and reveal the intention of attackers, an intrusion scenario dynamic correlation algorithm is proposed based on single value causality diagram. According to the composition principle of single value causality diagram, the key factors of the cause and effect diagram are defined. By relating the alarm information of intrusion detection system, attack scenarios are constructed based on cause and effect diagram, and dynamic correction is conduct. Based on the MIT Lincoln laboratory data sets, the correlation test is done using t
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Zhou, Zu Xu. "Research on the Preventive Measures of Sports Injury Based on Causality Diagram and Analytic Hierarchy Process." Applied Mechanics and Materials 380-384 (August 2013): 1838–42. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1838.

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Because of the frequent occurrence of injury accident in the sports curriculum, the security of physical education cannot be ignored. So, this paper analyzes the factors of injury accident in physical education teaching process and proposes prevention measures. The establishment of security system in physical education is an urgent problem. This paper studies the causes and countermeasures of sports injury accidents based on two methods: causality diagram and analytic hierarchy process. The first section introduces the principles of causality diagram and hierarchical analysis in detail. The se
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Dissertations / Theses on the topic "Diagramme de causalité"

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Pressat-Laffouilhère, Thibaut. "Modèle ontologique formel, un appui à la sélection des variables pour la construction des modèles multivariés." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR104.

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Répondre à une question de recherche causale dans un contexte d’étude observationnelle nécessite desélectionner des variables de confusion. Leur intégration dans un modèle multivarié en tant que co-variablespermet de diminuer le biais dans l’estimation de l'effet causal de l'exposition sur le critère de jugement. Leuridentification est réalisée grâce à des diagrammes causaux (DCs) ou des graphes orientés acycliques. Cesreprésentations, composées de noeuds et d'arcs orientés, permettent d’éviter la sélection de variables quiaugmenteraient le biais, comme les variables de médiation et de collisi
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Ben, Taleb Romain. "Modélisation et optimisation des actifs pour l'aide à la prise de décision stratégique dans les entreprises." Electronic Thesis or Diss., Ecole nationale des Mines d'Albi-Carmaux, 2024. http://www.theses.fr/2024EMAC0001.

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Les outils et méthodes d'aide à la décision stratégique, notamment utilisés dans les PME, font face à plusieurs limites. On note qu'ils sont essentiellement déterministes, basés sur des données passées, et sont cadrés par une approche quasi exclusivement comptable et financière. Pourtant, les décisions stratégiques en entreprise sont des activités tournées vers le futur, fortement soumis à incertitude qui visent à maximiser la valeur générée de l'entreprise qu'elle soit financière ou non. Dans ce contexte, la question de recherche adressée dans cette thèse est comment aider les dirigeants d'en
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Laurenti, Rafael. "The Karma of Products : Exploring the Causality of Environmental Pressure with Causal Loop Diagram and Environmental Footprint." Doctoral thesis, KTH, Industriell ekologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-184223.

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Environmental pressures from consumer products and mechanisms of predetermination were examined in this thesis using causal loop diagram (CLD) and life cycle assessment (LCA) footprinting to respectively illustrate and provide some indicators about these mechanisms. Theoretical arguments and their practical implications were subjected to qualitative and quantitative analysis, using secondary and primary data. A study integrating theories from various research fields indicated that combining product-service system offerings and environmental policy instruments can be a salient aspect of the sys
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Ziebart, Brian D. "Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/17.

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Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings where relevant information is sequentially revealed over time. This approach guarantees decision-theoretic performance by matching purposeful measures of behavior (Abbeel & Ng, 2004), and/or enforces game-theoretic rationality constraints (Aumann, 1974), while otherwise being as uncertain as possible, which
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McLucas, Alan Charles Civil Engineering Australian Defence Force Academy UNSW. "An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Civil Engineering, 2001. http://handle.unsw.edu.au/1959.4/38744.

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System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human co
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Books on the topic "Diagramme de causalité"

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Coecke, Bob, and Aleks Kissinger. Categorical Quantum Mechanics I: Causal Quantum Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0012.

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We derive the category-theoretic backbone of quantum theory from a process ontology. More specifically, we treat quantum theory as a theory of systems, processes, and their interactions. We first present a general theory of diagrams, and in particular, of string diagrams, and discuss why diagrams are a very natural starting point for developing scientific theories. Then we define process theories, and define a very general notion of quantum type. We show how our process ontology enables us to assert causality, that is, compatibility of quantum theory and relativity theory, prove the no-signall
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Chruściel, Piotr T. Geometry of Black Holes. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855415.001.0001.

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There exists a large scientific literature on black holes, including many excellent textbooks of various levels of difficulty. However, most of these prefer physical intuition to mathematical rigour. The object of this book is to fill this gap and present a detailed, mathematically oriented, extended introduction to the subject. The first part of the book starts with a presentation, in Chapter 1, of some basic facts about Lorentzian manifolds. Chapter 2 develops those elements of Lorentzian causality theory which are key to the understanding of black-hole spacetimes. We present some applicatio
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Zaanen, Jan. On Time. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780198920793.001.0001.

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Abstract This text revolves around a new and unusual view on the most fundamental puzzle of physics. It focusses on the key aspect that makes the role of the time dimension fundamentally different, dealing on the one hand with general relativity and quantum theory, and on the other hand: causality. The implicit and intuitive way by which causality is usually taken for granted is just made explicit and less self-evident, shedding new light on the gravity–quantum conflict. The case is made that gravity is a necessary condition for a causal universe. But upon turning to the ‘pure’ unitary quantum
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Book chapters on the topic "Diagramme de causalité"

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Cerny, E., B. Berkane, P. Girodias, and K. Khordoc. "Consistency, Causality and Compatibility." In Hierarchical Annotated Action Diagrams. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5615-2_5.

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Sibertin-Blanc, Christophe, Omar Tahir, and Janette Cardoso. "Interpretation of UML Sequence Diagrams as Causality Flows." In Advanced Distributed Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11533962_12.

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Kriz, Sarah. "Understanding Simultaneity and Causality in Static Diagrams versus Animation." In Diagrammatic Representation and Inference. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46037-3_32.

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Fan, Xinghua, Feng Hu, and Simon X. Yang. "A Fault Diagnosis Prototype System Based on Causality Diagram." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_71.

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Lury, Celia, William Viney, and Scott Wark. "Introduction: Figure, Figuring and Configuration." In Figure. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2476-7_1.

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AbstractThis introduction will outline the concept and practice of “figure” and “figuration.” The word “figure” can refer to numbers, characters in text or representations of persons or other entities in images or to a movement or series of movements, a diagram or a short succession of notes. In uses such as prefiguring, configuring, and disfiguring, it can refer to a process, opening questions of ordering, causality, premonition, (retrospective) fulfilment, prophecy, anticipation, redemption and pre-emption. As a noun, configuration can refer to an assemblage or the ways in which technologies
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Simon, Steven H. "Planar Diagrams." In Topological Quantum. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780198886723.003.0012.

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Abstract We return to study planar diagram algebras as in chapters 8 and 9, but now more formally. We define diagrams as being operators that can be "stacked" on top of each other. We pay particular attention to properties of diagrams such as completeness of states and orthonormality of basis vectors, and we again review the use of F-matrices for change of basis. We discuss the implications of causality for these diagrams, and to what extent diagrams can be deformed in the plane. We give explicit detailed rules for evaluating planar diagrams.
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Zaanen, Jan. "Gravity as the cradle of cause and effect." In On Time. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780198920793.003.0002.

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Abstract The case is made that gravity (general relativity) is a necessary physical condition for the existence of a causal nature of time. This is already the case for cosmologies ruled by Newtonian gravity, but it becomes a very deep affair in full general relativity. It is highlighted how this is implied by the Lorentzian signature of space-time: the peculiar fact that the time dimension knows about the square root of minus one. Combining this with Riemann’s non-Euclidean geometry, the ramification is that causality gets hard-wired in the geometry. This is highlighted in the form of the Pen
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Lancaster, Tom, and Stephen J. Blundell. "Causality, infinity, and horizons." In General Relativity for the Gifted Amateur. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780192867407.003.0020.

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Abstract In this final chapter of this part of the book on cosmology, we study some very general ideas that allow us to think about infinity in the context of the geometry of spacetime. The conformal structure of a model universe allows us to treat its infinities as points or surfaces at the edge of spacetime. Penrose diagrams allow us to visualize the conformal structure of a spacetime, revealing particle and event horizons. Singularities can be incorporated into Penrose diagrams: they form boundaries to spacetime that can be separated from an observer by a finite interval.
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Chruściel, Piotr T. "Projection diagrams." In Geometry of Black Holes. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855415.003.0007.

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In this chapter we show that one can usefully represent classes of non-spherically symmetric geometries in terms of two-dimensional diagrams, called projection diagrams, using an auxiliary two-dimensional metric constructed out of the spacetime metric. Whenever such a construction can be carried out, the issues such as stable causality, global hyperbolicity, the existence of event or Cauchy horizons, the causal nature of boundaries, and the existence of conformally smooth infinities become evident by inspection of the diagrams.
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Chruściel, Piotr T. "Extensions, conformal diagrams." In Geometry of Black Holes. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855415.003.0006.

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In this chapter we present a systematic approach to extensions of spacetimes, as needed to construct black-hole spacetimes. On the way we introduce the conformal diagrams, which are a useful tool for visualizing the geometry of the extensions. We focus on extensions of metrics containing a two-by-two stationary Lorentzian block.We discuss causality for such metrics in Section 6.1; the possible building blocs are described in Section 6.2; these building blocs are put together in Section 6.3. The general rules governing the construction are explained in Section 6.4, with the causal aspects of th
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Conference papers on the topic "Diagramme de causalité"

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Kuznetzov, Alexey I., Anastasia V. Moshnina, and Kseniia E. Borodianskaia. "Analysing Crisis Response Strategies Using the Cyclic Causality Diagram." In 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2025. https://doi.org/10.1109/reepe63962.2025.10970877.

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Margetts, Rebecca, and Roger F. Ngwompo. "Comparison of Modeling Techniques for a Landing Gear." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39722.

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A wide range of modeling techniques is available to the engineer. The objective of this paper is to compare some typical modeling techniques for the simulation of a multi-domain mechatronic system. Usual dynamic modeling methods, such as block diagrams and iconic diagrams, can cause problems for the engineer. Differential algebraic equations (DAEs) and algebraic loops can significantly increase simulation times and cause numeric errors. Bond graphs are less common in industry, and are presented here as a method which allows the engineer to easily identify causal loops and elements in different
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Hongchun, Wang. "Update Parameters Dynamic in Causality Diagram." In 2009 International Forum on Information Technology and Applications (IFITA). IEEE, 2009. http://dx.doi.org/10.1109/ifita.2009.67.

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Shi, Qingsi, and Xinyuan Liang. "Dynamic Causality Diagram in Fault Diagnosis." In 2009 International Joint Conference on Computational Sciences and Optimization, CSO. IEEE, 2009. http://dx.doi.org/10.1109/cso.2009.325.

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Xinyuan Liang. "Causality Diagram using Triangular Fuzzy Numbers." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712812.

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Shi Qingxi, Liang Xinyuan, and Zhang Qin. "Causality diagram using normal fuzzy numbers." In 2005 IEEE International Conference on Granular Computing. IEEE, 2005. http://dx.doi.org/10.1109/grc.2005.1547271.

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Hongchun Wang, Qingxi Shi, and Qin Zhang. "Fuzzy reasoning in continuous causality diagram." In Proceedings of International Conference on Information Acquisition. IEEE, 2004. http://dx.doi.org/10.1109/icia.2004.1373318.

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Guo Li, Jianmin Gao, and Fumin Chen. "Construction of causality diagram model for diagnostics." In 2008 Annual Reliability and Maintainability Symposium. IEEE, 2008. http://dx.doi.org/10.1109/rams.2008.4925777.

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Liang, Xinyuan. "Matrix iterative reasoning method of causality diagram." In International conference on Management Innovation and Information Technology. WIT Press, 2014. http://dx.doi.org/10.2495/miit130421.

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Liang Xinyuan, Shi Qingxi, and Zhang Qin. "Correspondence between causality diagram and neural networks." In 2005 IEEE International Conference on Granular Computing. IEEE, 2005. http://dx.doi.org/10.1109/grc.2005.1547263.

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