Literatura científica selecionada sobre o tema "Cognition Mathematical models"
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Artigos de revistas sobre o assunto "Cognition Mathematical models":
Wang, Yingxu. "On the Mathematical Theories and Cognitive Foundations of Information". International Journal of Cognitive Informatics and Natural Intelligence 9, n.º 3 (julho de 2015): 42–64. http://dx.doi.org/10.4018/ijcini.2015070103.
Sommer, Friedrich T., e Pentti Kanerva. "Can neural models of cognition benefit from the advantages of connectionism?" Behavioral and Brain Sciences 29, n.º 1 (fevereiro de 2006): 86–87. http://dx.doi.org/10.1017/s0140525x06379022.
Frischkorn, Gidon, e Anna-Lena Schubert. "Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application". Journal of Intelligence 6, n.º 3 (17 de julho de 2018): 34. http://dx.doi.org/10.3390/jintelligence6030034.
Moustafa, Ahmed A., Angela Porter e Ahmed M. Megreya. "Mathematics anxiety and cognition: an integrated neural network model". Reviews in the Neurosciences 31, n.º 3 (28 de abril de 2020): 287–96. http://dx.doi.org/10.1515/revneuro-2019-0068.
Wagner, Roy. "Cognitive stories and the image of mathematics". THEORIA. An International Journal for Theory, History and Foundations of Science 33, n.º 2 (20 de junho de 2018): 305. http://dx.doi.org/10.1387/theoria.17917.
Аникеева, Ольга, e Olga Anikyeyeva. "Development of Socio-Historical Models as a Cognitive Process: A Cross-Disciplinary Analysis". Servis Plus 8, n.º 2 (3 de junho de 2014): 4–9. http://dx.doi.org/10.12737/3886.
RAY, ASOK, SHASHI PHOHA e SOUMIK SARKAR. "BEHAVIOR PREDICTION FOR DECISION AND CONTROL IN COGNITIVE AUTONOMOUS SYSTEMS". New Mathematics and Natural Computation 09, n.º 03 (3 de outubro de 2013): 263–71. http://dx.doi.org/10.1142/s1793005713400061.
Broekaert, Jan, Irina Basieva, Pawel Blasiak e Emmanuel M. Pothos. "Quantum-like dynamics applied to cognition: a consideration of available options". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, n.º 2106 (2 de outubro de 2017): 20160387. http://dx.doi.org/10.1098/rsta.2016.0387.
GOPISETTI, NAGA-SAI-RAM, MARIA LEONILDE ROCHA VARELA e JOSE MACHADO. "HUMAN COGNITION INSPIRED PROCEDURES FOR PART FAMILY FORMATION BASED ON NOVEL INSPECTION BASED CLUSTERING APPROACH". DYNA 96, n.º 5 (1 de setembro de 2021): 546–52. http://dx.doi.org/10.6036/9997.
Reihenova, Austra. "MODELLING OF MATHEMATICAL PROCESSES AS A SCIENTIFIC COGNITION IN HIGH SCHOOL". SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (20 de maio de 2020): 516. http://dx.doi.org/10.17770/sie2020vol3.5016.
Teses / dissertações sobre o assunto "Cognition Mathematical models":
Wong, Pauline P. "Mathematical models of cognitive recovery and impairment profile after severe traumatic brain injury". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0003/NQ43457.pdf.
Navarro, Daniel. "Representing stimulus similarity". Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phn322.pdf.
Izquierdo, Ángel Cabrera. "A functional analysis of categorization". Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/30522.
Cuppini, Cristiano <1977>. "Mathematical models of cognitive processes". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1690/.
Stone, Jason C. "The Formation of Self-Constructed Identity as Advanced Mathematical Thinker Among Some Female PhD Holders in Mathematics and the Relationship to the "Three-Worlds" Cognitive Model of Advanced Mathematical Thinking". Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1436975429.
Nefdt, Ryan Mark. "The foundations of linguistics : mathematics, models, and structures". Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/9584.
Hassler, Ryan Scott. "Mathematical comprehension facilitated by situation models: Learning opportunities for inverse relations in elementary school". Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/410935.
Ph.D.
The Common Core State Standards call for more rigorous, focused, and coherent curriculum and instruction, has resulted in students being faced with more cognitively high-demanding tasks which involve forming connections within and between fundamental mathematical concepts. Because mathematical comprehension generally relates back to one’s ability to form connections to prior knowledge, this study sought to examine the extent to which current learning environments expose students to connection-making opportunities that may help facilitate mathematical understanding of elementary multiplicative inverses. As part of an embedded mixed-methods design, I analyzed curriculum materials, classroom instruction, and student assessments from four elementary mathematics teachers’ classrooms. A situation model perspective of comprehension was used for analysis. The aim of this study was thus to determine how instructional tasks, representations, and deep questions are used for connection-making, which is the foundation of a situation model that can be used for inference-making. Results suggest that student comprehension depends more on connection-making opportunities afforded by classroom teachers, rather than on learning opportunities found solely within a curriculum. This included instruction that focused on deeply unpacking side-by-side comparison type examples, situated examples in personal concrete contexts, used semi-concrete representations to illustrate structural relationships, promoted efficiency through the sequence of presented representations, and posed deep questions which supported students’ sense-making and emphasized the interconnectedness of mathematics. By analyzing these key aspects, this study contributes to research on mathematical understanding and provides a foundation for helping students facilitate transfer of prior knowledge into novel mathematical situation.
Temple University--Theses
Hollmann, Claudia. "A cognitive human behaviour model for pedestrian behaviour simulation". Thesis, University of Greenwich, 2015. http://gala.gre.ac.uk/13831/.
Warrick, Pamela Dianne. "Investigation of the PASS model (planning, attention, simultaneous, successive) of cognitive processing and mathematics achievement /". The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487676261010362.
Tolar, Tammy Daun. "A Cognitive Model of Algebra Achievement among Undergraduate College Students". Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/epse_diss/47.
Livros sobre o assunto "Cognition Mathematical models":
Cruz, Luis O. Introduction to projective cognition: A mathematical approach. New York: Philosophical Library, 1986.
Busemeyer, Jerome R. Quantum models of cognition and decision. Cambridge: Cambridge University Press, 2012.
Busemeyer, Jerome R. Quantum models of cognition and decision. Cambridge: Cambridge University Press, 2012.
Cavallini, Graziano. Psicologia matematica: Spunti per una modellistica formale dei processi cognitivi. Roma: Aracne, 2006.
Schmajuk, Nestor A. Computational models of conditioning. New York: Cambridge University Press, 2010.
Giunti, Marco. Computation, dynamics, and cognition. New York: Oxford University Press, 1997.
Nowakowska, Maria. Cognitive sciences: Basic problems, new perspectives and implications for artificial intelligence. Orlando: Academic Press, 1986.
Stern, August. Quantum theoretic machines: What is thought from the point of view of physics. Amsterdam: Elsevier, 2000.
Carroll, John Bissell. Human cognitive abilities: A survey of factor-analytic studies. Cambridge: Cambridge University Press, 1993.
Haken, H. Principles of brain functioning: A synergetic approach to brain activity, behavior, and cognition. Berlin: Springer, 1996.
Capítulos de livros sobre o assunto "Cognition Mathematical models":
Poulsgaard, Kåre Stokholm, e Lambros Malafouris. "Models, Mathematics and Materials in Digital Architecture". In Cognition Beyond the Brain, 283–304. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49115-8_14.
Matos, José Manuel. "Cognitive Models in Geometry Learning". In Mathematical Problem Solving and New Information Technologies, 93–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58142-7_7.
Guhe, Markus, Alan Smaill e Alison Pease. "A Formal Cognitive Model of Mathematical Metaphors". In KI 2009: Advances in Artificial Intelligence, 323–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04617-9_41.
Jacobs, Cassandra L. "Quantifying Context With and Without Statistical Language Models". In Handbook of Cognitive Mathematics, 1–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44982-7_17-1.
Calderón, Francisca, e Jorge González. "Polytomous IRT Models Versus IRTree Models for Scoring Non-cognitive Latent Traits". In Springer Proceedings in Mathematics & Statistics, 113–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74772-5_11.
Kohen, Zehavit, e Bracha Kramarski. "Promoting Mathematics Teachers’ Pedagogical Metacognition: A Theoretical-Practical Model and Case Study". In Cognition, Metacognition, and Culture in STEM Education, 279–305. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66659-4_13.
Corbett, Albert, Megan McLaughlin, K. Christine Scarpinatto e William Hadley. "Analyzing and Generating Mathematical Models: An Algebra II Cognitive Tutor Design Study". In Intelligent Tutoring Systems, 314–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45108-0_35.
Acharya, B. D., e S. Joshi*. "Some Reflections on Discrete Mathematical Models in Behavioral, Cognitive and Social Sciences". In Proof, Computation and Agency, 277–307. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0080-2_16.
Focardi, Stefano, e Silvano Toso. "Foraging and Social Behaviour of Ungulates: Proposals for a Mathematical Model". In Cognitive Processes and Spatial Orientation in Animal and Man, 295–304. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3531-0_24.
Lim, Youn Seon, e Fritz Drasgow. "An Joint Maximum Likelihood Estimation Approach to Cognitive Diagnosis Models". In Springer Proceedings in Mathematics & Statistics, 335–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77249-3_28.
Trabalhos de conferências sobre o assunto "Cognition Mathematical models":
Trenado, C., L. Haab, D. J. Strauss, Alberto Cabada, Eduardo Liz e Juan J. Nieto. "Mathematical Modeling of Neural Correlates of Cognition: The Case of Selective Attention and Habituation". In MATHEMATICAL MODELS IN ENGINEERING, BIOLOGY AND MEDICINE: International Conference on Boundary Value Problems: Mathematical Models in Engineering, Biology and Medicine. AIP, 2009. http://dx.doi.org/10.1063/1.3142947.
Kawanishi, Shouki, Emi Matsunaga, Yoshiki Ujiie e Yoshiyuki Matsuoka. "Mathematical Formulation of Macroscopic Feature for Digital Style Design". In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49150.
Yingxu Wang. "Mathematical models and properties of games". In Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005). IEEE, 2005. http://dx.doi.org/10.1109/coginf.2005.1532644.
Tan, Xinming, e Yingxu Wang. "Transforming RTPA Mathematical Models of System Behaviors Into C++". In 2006 5th IEEE International Conference on Cognitive Informatics. IEEE, 2006. http://dx.doi.org/10.1109/coginf.2006.365518.
Matsushima, Masatomo, e Taro Okano. "Mathematical model of depression based on Cognitive theory". In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044130.
Magri, Caterina, Andrew Marantan, L. Mahadevan e Talia Konkle. "A mathematical model of real-world object shape predicts human perceptual judgments". In 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1107-0.
Balagura, Kyrill, Helen Kazakova, Daliant Maximus e Victoria Turygina. "Mathematical models of cognitive interaction identification in the social networks". In CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5114453.
Danyadi, Zs, P. Foldesi e L. T. Koczy. "Fuzzy search space for correction of cognitive biases in constructing mathematical models". In 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2012. http://dx.doi.org/10.1109/coginfocom.2012.6422047.
Han, Qi, Jun Peng, Sk Md Mizanur Rahman, Ahmad Almogran, Atif Alamri, Tengfei Weng e Jin Liu. "A mathematical and simulation model on stability and parameters of multi-equilibrium points in CNNs". In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109767.
Jiang, Y., J. Meng e N. Jaffer. "A Novel Segmentation and Navigation Method for Polyps Detection using Mathematical Morphology and Active Contour Models". In 6th IEEE International Conference on Cognitive Informatics. IEEE, 2007. http://dx.doi.org/10.1109/coginf.2007.4341910.