Relevant bibliographies by topics / Complex systems and knowledge

Contents

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

Academic literature on the topic 'Complex systems and knowledge'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Complex systems and knowledge"

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Grenander, Ulf, and Michael I. Miller. "Representations of Knowledge in Complex Systems." Journal of the Royal Statistical Society: Series B (Methodological) 56, no. 4 (1994): 549–81. http://dx.doi.org/10.1111/j.2517-6161.1994.tb02000.x.

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Hansmann, Ralf, Harald A. Mieg, Helmut W. Crott, and Roland W. Scholz. "Shifting students’ to experts’ complex systems knowledge." International Journal of Sustainability in Higher Education 4, no. 2 (2003): 151–68. http://dx.doi.org/10.1108/14676370310467168.

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This paper includes three analyses concerning: expert support in the selection of impact variables for scientific models relevant to environmental planning, the quality of students’ individual estimates of corresponding impacts before and after a group discussion, and the accuracy of artificially‐aggregated judgments of independent groups. Participants were students of environmental sciences at ETH Zurich. The first analysis revealed that during participation in an environmental case study, students’ individual estimates of impacts of variables which have been suggested by experts increased, a
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Palagin, Olehander, and Denys Symonov. "Knowledge-oriented management systems for complex objects." International Scientific Technical Journal "Problems of Control and Informatics" 69, no. 5 (2024): 84–95. http://dx.doi.org/10.34229/1028-0979-2024-5-7.

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The article examines the issue of improving the efficiency of complex systems management through the use of knowledge-based methods and technologies. The article emphasizes the need to revise traditional approaches to scientific research and knowledge management by introducing a transdisciplinary paradigm and artificial intelligence to achieve sustainable development and knowledge evolution. The authors try to solve the problem of management in the face of uncertainty and incomplete information, which is typical for such systems. The methods of integrating knowledge from different fields to cr
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Rangachari, Pavani. "Knowledge sharing networks in professional complex systems." Journal of Knowledge Management 13, no. 3 (2009): 132–45. http://dx.doi.org/10.1108/13673270910962923.

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Lyons, Michael. "Knowledge and the modelling of complex systems." Futures 37, no. 7 (2005): 711–19. http://dx.doi.org/10.1016/j.futures.2004.11.009.

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Frâncu, Victoria. "Ontologies as the most complex knowledge organization systems." Revista Română de Biblioteconomie și Știința Informării = Romanian Journal of Library and Information Science 17, no. 1 (2021): 25–34. http://dx.doi.org/10.26660/rrbsi.2021.17.1.25.

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Allen, Peter M. "Knowledge, ignorance and the evolution of complex systems." World Futures 55, no. 1 (2000): 37–70. http://dx.doi.org/10.1080/02604027.2000.9972769.

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Williams, D. O., and J.-M. Boyle. "Knowledge-based support systems for uncertain complex tasks." Intelligent Systems Engineering 1, no. 2 (1992): 87. http://dx.doi.org/10.1049/ise.1992.0010.

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Foster, John. "Energy, aesthetics and knowledge in complex economic systems." Journal of Economic Behavior & Organization 80, no. 1 (2011): 88–100. http://dx.doi.org/10.1016/j.jebo.2011.02.013.

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Usó-Domenech, Jose-Luis, Josué Antonio Nescolarde-Selva, and Miguel Lloret-Climent. "Causality in complex systems." Kybernetes 46, no. 4 (2017): 590–602. http://dx.doi.org/10.1108/k-08-2016-0195.

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Purpose The purpose of this paper is the study of the causal relationship. The concept called “naive” causality can be stated more generally as the belief (or knowledge) that results follow actions, and that these results are not random, but are consistently linked with causes. The authors have thus formed a very general and precarious concept of causality, but one that appropriately reflects the meaning of causality at the level of common sense. Design/methodology/approach Mathematical and logical development of the causality in complex systems. Findings There are three aspects of rationality
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Dissertations / Theses on the topic "Complex systems and knowledge"

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Xu, Yuan Ming. "Knowledge based fault monitoring for large complex systems." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316461.

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Nygate, Yossi Aharon. "ASPEN: Structuring design of complex knowledge-based systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057860014.

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Pezdirc, Marjetka. "The terrorism complex." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/19149.

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Discussing, defining and engaging with ‘terrorism’ has long been limited to the narrowly framed situations in which parties to an asymmetric conflict resort to the use of force and to the legitimacy they have in doing so. The problem with the limited understanding of ‘terrorism’ and ‘counterterrorism’ as ‘facts of objective reality’ is the lack of attention to the role of the extreme asymmetry of power in conflicts involving ‘terrorism’ that does not lend itself to analysis readily. This thesis introduces a new theoretical concept, the Terrorism Complex that signifies the complexity of power/k
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Haddad, Marc George. "Knowledge integration for problem solving in the development of complex aerospace systems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43853.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.<br>Includes bibliographical references (p. 238-248).<br>The development of complex products requires widespread knowledge interactions among a significant number of individuals and teams designing numerous interrelated components. Increasing product complexity typically leads to a corresponding increase in the types and sources of knowledge that need to be tapped during development, and a common strategy for managing product complexity is to outsource parts and components to external suppliers. As a res
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Goode, Natassia. "Determinants of the control of dynamic systems: The role of structural knowledge." Thesis, The University of Sydney, 2011. http://hdl.handle.net/2123/8967.

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In educational and organisational settings it has become common practice to use computer-based complex problems that represent dynamic systems for assessment and training purposes. In the interpretation of performance scores and the design of training programs, it is often assumed that the capacity to effectively control the outcomes of a dynamic system depends on the acquisition of structural knowledge. Control performance scores are generally interpreted as evidence of individual differences in the capacity to acquire and utilise structural knowledge and training programs typically try to im
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Lemmens, Yves Claude Jean. "Modelling and analysis of engineering changes in complex systems." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/5071.

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Complex products are comprised of a large number of tightly integrated components, assemblies and systems resulting in extensive logical and physical interdependences between the constituent parts. Thus a change to one item of a system is highly likely to lead to a change to another item, which in turn can propagate further. The aim of this research therefore is to investigate dependency models that can be used to identify the impact and trace thepropagation of changes in different information domains, such as requirements, physical product architecture or organisation. Cont/d.
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Wikberg, Per. "Eliciting Knowledge from Experts in Modeling of Complex Systems : Managing Variation and Interactions." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10111.

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Mariani, Stefano <1987&gt. "Coordination Issues in Complex Socio-technical Systems: Self-organisation of Knowledge in MoK." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7553/1/mariani_stefano_tesi.pdf.

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The thesis proposes the Molecules of Knowledge (MoK) model for self-organisation of knowledge in knowledge-intensive socio-technical systems. The main contribution is the conception, definition, design, and implementation of the MoK model. The model is based on a chemical metaphor for self-organising coordination, in which coordination laws are interpreted as artificial chemical reactions ruling evolution of the molecules of knowledge living in the system (the information chunks), indirectly coordinating the users working with them. In turn, users may implicitly affect system behaviour with
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Mariani, Stefano <1987&gt. "Coordination Issues in Complex Socio-technical Systems: Self-organisation of Knowledge in MoK." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7553/.

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The thesis proposes the Molecules of Knowledge (MoK) model for self-organisation of knowledge in knowledge-intensive socio-technical systems. The main contribution is the conception, definition, design, and implementation of the MoK model. The model is based on a chemical metaphor for self-organising coordination, in which coordination laws are interpreted as artificial chemical reactions ruling evolution of the molecules of knowledge living in the system (the information chunks), indirectly coordinating the users working with them. In turn, users may implicitly affect system behaviour with
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Jia, Tao. "Geospatial Knowledge Discovery using Volunteered Geographic Information : a Complex System Perspective." Doctoral thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104783.

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The continuous progression of urbanization has resulted in an increasing number of people living in cities or towns. In parallel, advancements in technologies, such as the Internet, telecommunications, and transportation, have allowed for better connectivity among people. This has engendered drastic changes in urban systems during the recent decades. From a social geographic perspective, the changes in urban systems are primarily characterized by intensive contacts among people and their interactions with the surrounding urban environment, which further leads to subsequent challenging problems
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Books on the topic "Complex systems and knowledge"

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Liu, Kecheng, Keiichi Nakata, Weizi Li, and Daniel Galarreta, eds. Information and Knowledge Management in Complex Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16274-4.

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Maria, Burguete, and Lam Lui, eds. Science matters: Humanities as complex systems. World Scientific Pub. Co., 2008.

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Savić, Miloš, Mirjana Ivanović, and Lakhmi C. Jain. Complex Networks in Software, Knowledge, and Social Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91196-0.

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Vauthey, Barbara. Complex reasoning using a large knowledge base. Institute of Informatics, University of Fribourg, 1993.

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F, Chipman Susan, and Meyrowitz Alan L, eds. Foundations of knowledge acquisition: Cognitive models of complex learning. Kluwer Academic, 1993.

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Tolk, Andreas, and Lakhmi C. Jain, eds. Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88075-2.

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C, Jain L., Tolk Andreas, and SpringerLink (Online service), eds. Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Springer Berlin Heidelberg, 2009.

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Lucardie, George Larry. Functional object-types as a foundation of complex knowledge-based systems. G.L. Lucardie, 1994.

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Saitta, Lorenza. Abstraction in Artificial Intelligence and Complex Systems. Springer New York, 2013.

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Kluge, Annette. The Acquisition of Knowledge and Skills for Taskwork and Teamwork to Control Complex Technical Systems. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-5049-4.

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Book chapters on the topic "Complex systems and knowledge"

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Cao, Longbing. "Complex Systems." In Advanced Information and Knowledge Processing. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6551-4_1.

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Ye, Fred Y. "Measuring Knowledge: A Quantitative Approach to Knowledge Theory." In Understanding Complex Systems. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5936-0_13.

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Wang, Zhongtuo, and Jiangning Wu. "Knowledge Systems Engineering: A Complex System View." In Knowledge Synthesis. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55218-5_7.

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Reiber, Hansotto. "Knowledge Base: Complex Systems." In essentials. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68840-3_6.

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Mobus, George E., and Michael C. Kalton. "Information, Meaning, Knowledge, and Communications." In Understanding Complex Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1920-8_7.

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Ahrweiler, Petra, Andreas Pyka, and Nigel Gilbert. "Simulating Knowledge Dynamics in Innovation Networks: An Introduction." In Understanding Complex Systems. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43508-3_1.

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Mandl, Heinz, Hans Gruber, and Alexander Renkl. "Knowledge Application in Complex Systems." In Technology-Based Learning Environments. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79149-9_6.

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Ghosh, J. K., Devanjan Bhattacharya, and Swej Kumar Sharma. "Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility." In Understanding Complex Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29329-0_2.

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Vitanov, Nikolay K., and Marcel R. Ausloos. "Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion." In Understanding Complex Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23068-4_3.

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Jörg, Ton. "Solving the Crisis of Knowledge in the Age of Complexity." In Understanding Complex Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90409-8_4.

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Conference papers on the topic "Complex systems and knowledge"

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Singh, Paolo J., and Ralucca Gera. "Designing a Dynamic Network of Knowledge of Micro-learning Content." In 2024 World Conference on Complex Systems (WCCS). IEEE, 2024. https://doi.org/10.1109/wccs62745.2024.10765575.

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Singh, Jaibir, Suman Rani, and Garaga Srilakshmi. "Towards Explainable AI: Interpretable Models for Complex Decision-making." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616500.

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Li, Jialong, Qi Li, Zhonghua Guo, and Xiaojun Li. "Intelligent Diagnosis and Treatment System Based on Medical Knowledge Graph." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704376.

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Ren, Shan, Ming Wang, Jiankai Zhang, and Zhiguo Ma. "A Knowledge Graph Construction Method for Complex Products Improvement Design." In 2024 20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2024. http://dx.doi.org/10.1109/icnc-fskd64080.2024.10702222.

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Lil, Huiting, and Yaochu Jin. "A Multi-objective Bayesian Optimization Algorithm with Online Knowledge Transfer." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704382.

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Lin, Guo-Yun, Zong-Gan Chen, Jian-Yu Li, Yuncheng Jiang, and Zhi-Hui Zhan. "A Knowledge Archive-Based Framework for Multitask Multimodal Optimization Problems." In 2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC). IEEE, 2024. https://doi.org/10.1109/csis-iac63491.2024.10919280.

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Zhao, Shulin, Xingxing Hao, Li Chen, and Yahui Feng. "Multi-Population Constrained Multi-Objective Evolutionary Algorithm Based on Knowledge Transfer." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704519.

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P, Blessy Paul, and Cini Kurian. "Generation of Bloom’s taxonomy-based complex-level questions using knowledge graph." In 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2024. https://doi.org/10.1109/spices62143.2024.10779773.

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Mascari, Jean-FranCois. "Complex Autonomic Knowledge Systems." In 2005 First International Conference on Semantics, Knowledge and Grid. IEEE, 2005. http://dx.doi.org/10.1109/skg.2005.50.

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Katarzyna, Grzybowska, and Lupicka Anna. "Knowledge Acquisition in Complex Systems." In 2016 International Conference on Economics and Management Innovations. Atlantis Press, 2016. http://dx.doi.org/10.2991/icemi-16.2016.5.

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Reports on the topic "Complex systems and knowledge"

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Coleman, Sarah, and Mike Bourne. Project leadership: skills, behaviours, knowledge and values. Association for Project Management, 2018. http://dx.doi.org/10.61175/wwes1121.

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This research has sought to draw out project leadership competences from the perspective of practising project leaders, aspiring project leaders, heads of profession, project sponsors and clients. The aim of this research report is to help focus, develop and refine our understanding of project leadership so we can support continued capability building for project professionals and their organisations. To compile this report, the authors Sarah Coleman and Professor Mike Bourne conducted in-depth interviews with 38 individuals across five multinational organisations (BAE Systems, IQVIA, Jacobs,
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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The pur
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Asfaw, Etenesh. Global Practices in Agriculture Knowledge and Innovation System: Lessons for Uzbekistan’s AKIS. TOSHKENT SHAHRIDAGI XALQARO VESTMINSTER UNIVERSITETI, 2020. https://doi.org/10.70735/mlda5770.

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Coordination and facilitation of multiple and diverse AKIS stakeholders is vital for increased efficiency and better agriculture performance. The decision to decentralize the administration and management of AKIS to local structures needs to be realistic. Public financing in AKIS for enhanced capacities of the sub-systems ensures inclusive service delivery and increased agriculture productivity. Participation of all groups of clients in AKIS decision-makings and implementation, through participatory tools, ensures responsive and relevant goods, services, and policy. Continuous professional dev
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Panta, Manisha, Padam Thapa, Md Hoque, et al. Application of deep learning for segmenting seepages in levee systems. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49453.

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Seepage is a typical hydraulic factor that can initiate the breaching process in a levee system. If not identified and treated on time, seepages can be a severe problem for levees, weakening the levee structure and eventually leading to collapse. Therefore, it is essential always to be vigilant with regular monitoring procedures to identify seepages throughout these levee systems and perform adequate repairs to limit potential threats from unforeseen levee failures. This paper introduces a fully convolutional neural network to identify and segment seepage from the image in levee systems. To th
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Bukreiev, Dmitriy, Pavlo Chornyi, Evgeniy Kupchak, and Andrey Sender. Features of the development of an automated educational and control complex for checking the quality of students. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4426.

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The paper reveals the problematic features of developing an automated system for teaching students. The authors emphasize the need to study the specialized needs of the system before the development process and conduct an in-depth analysis of the needs of the modern educational process in order to identify the needs of the future product. In this paper authors develop a model of knowledge representation in the system and reveal the features of the mathematical apparatus for calculating and automating the processes of obtaining and evaluating students knowledge.
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Lindner, André, Jürgen Stamm, Edeltraud Günther, Mukand Babel, Hasmik Barseghyan, and Kensuke Fukushi Titel. Water security and climate change adaptation as local challenges with global importance – addressing the gap between knowledge generation and best practice application. Technische Universität Dresden, 2022. http://dx.doi.org/10.25368/2023.117.

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The communication of naturally complex issues like climate change, tipping points, socio-ecological systems, and their interaction with the hydrological cycle and water security is equally important as it is challenging. Beyond the complexity, the long-term and often delayed characteristics furthermore do not match with either political election cycles or quarterly business reports. Academic institutions are at the forefront to assess, reveal and understand such complex systems, but certainly more engagement is needed to effectively transfer the most urgent derivations in practice and policy o
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Schell, Laurie. Introduction to Case-making and Systems Change in Arts & Cultural Education. Creative Generation, 2022. http://dx.doi.org/10.51163/creative-gen009.

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Introduction to Case-making and Systems Change in Arts &amp; Cultural Education is an overview of a collaborative project between Creative Generation and ElevateArtsEd undertaken to better understand how practitioners - such as artists, educators, community leaders, and more - can make the case for and also advocate through arts and culture to drive systemic change and address complex challenges. The project seeks to expand the knowledge base of case-making and systems change in the field of arts and cultural education and provide resources to support effective actions for practitioners and yo
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Kaffenberger, Michelle. The Role of Purpose in Education System Outcomes: A Conceptual Framework and Empirical Examples. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/118.

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In many low- and middle-income countries that have achieved significant gains in learning outcomes, higher income and resources and greater knowledge of what to do to achieve learning cannot explain the differences in outcomes relative to lower performing countries. Such cases yield complex questions of “how” and “why” success was achieved. In this paper, I propose a conceptual framework for understanding drivers of education system performance and use it to argue that consensus-based commitment to the purpose of learning is a critical missing link to addressing the learning crisis. I then app
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Blake, Carolyn, Benjamin P. Rigby, Roxanne Armstrong-Moore, et al. Participatory systems mapping for population health research, policy and practice: guidance on method choice and design. University of Glasgow, 2024. http://dx.doi.org/10.36399/gla.pubs.316563.

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What is participatory systems mapping? Participatory systems mapping engages stakeholders with varied knowledge and perspectives in creating a visual representation of a complex system. Its purpose is to explore, and document perceived causal relations between elements in the system. This guidance focuses on six causal systems mapping methods: systems-based theory of change maps; causal loop diagrams; CECAN participatory systems mapping; fuzzy cognitive maps; systems dynamics models; and Bayesian belief networks. What is the purpose of this guidance? This guidance includes a Framework that aid
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Barjum, Daniel. PDIA for Systems Change: Tackling the Learning Crisis in Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-ri_2022/046.

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Indonesia is facing a learning crisis. While schooling has increased dramatically in the last 30 years, the quality of education has remained mediocre (Rosser et al., 2022). Teacher capability is an often cited weakness of the system, along with policies and system governance. Approaches focused primarily on adding resources to education have not yielded expected outcomes of increased quality. “It is a tragedy that in the second decade of the twenty-first century, some children in Indonesia are not completing primary school and are turned out into the workforce as functional illiterates.” (Sur
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