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World Futures
The Journal of New Paradigm Research
Volume 64, 2008 - Issue 5-7: Postformal Thought and Hierarchical Complexity
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THEORETICAL FOUNDATIONS

Presenting the Formal Theory of Hierarchical Complexity

Michael Lamport Commons Department of Psychiatry, Harvard Medical School, Cambridge, Massachusetts, USA
&
Alexander Pekker University of Texas at Austin, Austin, Texas, USA
Pages 375-382 | Published online: 05 Nov 2008

Citations (14)

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Rita Barros Neves, Sofia Ferreira Leite, António Ramos Silva & José Hugo Mesquita Vasconcelos. (2023) Development of a Virtual System to Analyze the Learning of 3D Shapes. World Futures 79:7-8, pages 776-793.
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Kristian Stålne, Sofia Kjellström & Jukka Utriainen. (2016) Assessing complexity in learning outcomes – a comparison between the SOLO taxonomy and the model of hierarchical complexity. Assessment & Evaluation in Higher Education 41:7, pages 1033-1048.
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Hudson F. Golino & Cristiano M. A. Gomes. (2016) Random forest as an imputation method for education and psychology research: its impact on item fit and difficulty of the Rasch model. International Journal of Research & Method in Education 39:4, pages 401-421.
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Cornelia Geller, Knut Neumann, William J. Boone & Hans E. Fischer. (2014) What Makes the Finnish Different in Science? Assessing and Comparing Students' Science Learning in Three Countries. International Journal of Science Education 36:18, pages 3042-3066.
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Articles from other publishers (10)

Sofia Leite, Bruno Mota, António Ramos Silva, Michael Lamport Commons, Patrice Marie Miller & Pedro Pereira Rodrigues. (2023) Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. PLOS ONE 18:8, pages e0290743.
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Morten Bastian & Andreas Mühling. (2022) Comparing estimates of difficulty of programming constructs. Comparing estimates of difficulty of programming constructs.
Rutger Goekoop & Roy de Kleijn. (2021) How higher goals are constructed and collapse under stress: A hierarchical Bayesian control systems perspective. Neuroscience & Biobehavioral Reviews 123, pages 257-285.
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P.M. Miller. (2019) Understanding impulsivity scientifically: Some of the variables that affect the steepness of delay discounting and may affect suicide. Ethics, Medicine and Public Health 8, pages 132-140.
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Rodrigo Duran, Juha Sorva & Sofia Leite. (2018) Towards an Analysis of Program Complexity From a Cognitive Perspective. Towards an Analysis of Program Complexity From a Cognitive Perspective.
Hudson F. Golino & Sacha Epskamp. (2017) Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLOS ONE 12:6, pages e0174035.
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Tom Murray. (2015) Coordinating the Complexity of Tools, Tasks, and Users: On Theory-based Approaches to Authoring Tool Usability. International Journal of Artificial Intelligence in Education 26:1, pages 37-71.
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Hudson F. Golino, Cristiano Mauro Assis Gomes & Diego Andrade. (2014) Predicting Academic Achievement of High-School Students Using Machine Learning. Psychology 05:18, pages 2046-2057.
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Sofia Kjellström & Sara Nora Ross. (2011) Older Persons' Reasoning about Responsibility for Health: Variations and Predictions. The International Journal of Aging and Human Development 73:2, pages 99-124.
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Michael Lamport Commons & Patrice Marie Miller. (2011) Folk Psychology and Criminal Law: Why We Need to Replace Folk Psychology with Behavioral Science. The Journal of Psychiatry & Law 39:3, pages 493-516.
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