Academic literature on the topic 'Cognitive learning'
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Journal articles on the topic "Cognitive learning"
Pimple, Omkar, Umesh Saravane, and Neha Gavankar. "Cognitive Learning Using Distributed Artificial Intelligence." International Journal of Machine Learning and Computing 5, no. 1 (February 2015): 7–11. http://dx.doi.org/10.7763/ijmlc.2015.v5.474.
Full textG. B., Najimova, and Kartbaeva N. "Cognitive Linguistics In Language Learning Process." American Journal of Social Science and Education Innovations 02, no. 12 (December 31, 2020): 407–12. http://dx.doi.org/10.37547/tajssei/volume02issue12-70.
Full textBuechel, Séverine D., Annika Boussard, Alexander Kotrschal, Wouter van der Bijl, and Niclas Kolm. "Brain size affects performance in a reversal-learning test." Proceedings of the Royal Society B: Biological Sciences 285, no. 1871 (January 24, 2018): 20172031. http://dx.doi.org/10.1098/rspb.2017.2031.
Full textCardona, Mario. "Apprendere le lingue nella terza età è possibile ed è salutare. Il cervello ci dice perchè." Revista Italiano UERJ 12, no. 2 (July 13, 2022): 21. http://dx.doi.org/10.12957/italianouerj.2021.67581.
Full textJacobson, Wayne. "Learning, Culture, and Learning Culture." Adult Education Quarterly 47, no. 1 (November 1996): 15–28. http://dx.doi.org/10.1177/074171369604700102.
Full textShi, Zhongzhi. "Cognitive Machine Learning." International Journal of Intelligence Science 09, no. 04 (2019): 111–21. http://dx.doi.org/10.4236/ijis.2019.94007.
Full textParadis, Rosemary D., Jinhong K. Guo, John Olden-Stahl, and Jack Moulton. "Cognitive Category Learning." Procedia Computer Science 12 (2012): 188–93. http://dx.doi.org/10.1016/j.procs.2012.09.052.
Full textChiriacescu, Vlad, Leen-Kiat Soh, and Duane F. Shell. "Understanding Human Learning Using a Multi-agent Simulation of the Unified Learning Model." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 4 (October 2013): 1–25. http://dx.doi.org/10.4018/ijcini.2013100101.
Full textChoi, Soonri, Soomin Kang, Kyungmin Lee, Hongjoo Ju, and Jihoon Song. "The effect of an agent tutor’s integration of cognitive and emotional gestures on cognitive load, motivation, and achievement." Contemporary Educational Technology 16, no. 1 (January 5, 2024): ep491. http://dx.doi.org/10.30935/cedtech/14101.
Full textKurniawati, Destriana, Ahmad Fauzi, Rini Budiharti, and Fairusy F. Haryani. "Experimental Discovery Learning Model and TPACK-based Problem-Based Learning Supported Media Moodle Reviewed from Student Process Science Skills." Jurnal Penelitian Pendidikan IPA 9, no. 10 (October 25, 2023): 8526–32. http://dx.doi.org/10.29303/jppipa.v9i10.5107.
Full textDissertations / Theses on the topic "Cognitive learning"
Fonooni, Benjamin. "Cognitive Interactive Robot Learning." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97422.
Full textAtt bygga autonoma robotar som passar ett stort antal olika användardefinierade applikationer kräver ett språng från dagens specialiserade maskiner till mer flexibla lösningar. För att nå detta mål, bör man övergå från traditionella förprogrammerade robotar till robotar som själva kan lära sig nya färdigheter. Learning from Demonstration (LfD) och Imitation Learning (IL), där roboten lär sig genom att observera en människa eller en annan robot, är bland de mest populära inlärningsteknikerna. Att visa roboten hur den ska utföra en uppgift är ofta mer naturligt och intuitivt än att modifiera ett komplicerat styrprogram. Men att lära robotar nya färdigheter så att de kan reproducera dem under nya yttre förhållanden, på rätt tid och på ett lämpligt sätt, kräver god förståelse för alla utmaningar inom området. Studier av LfD och IL hos människor och djur visar att flera kognitiva förmågor är inblandade för att lära sig nya färdigheter på rätt sätt. De mest anmärkningsvärda är förmågan att rikta uppmärksamheten på de relevanta aspekterna i en demonstration, och förmågan att anpassa observerade rörelser till robotens egen kropp. Dessutom är det viktigt att ha en klar förståelse av lärarens avsikter, och att ha förmågan att kunna generalisera dem till nya situationer. När en inlärningsfas är slutförd kan stimuli trigga det kognitiva systemet att utföra de nya färdigheter som blivit en del av robotens repertoar. Målet med denna avhandling är att utveckla metoder för LfD som huvudsakligen fokuserar på att förstå lärarens intentioner, och vilka delar av en demonstration som ska ha robotens uppmärksamhet. Den föreslagna arkitekturen innehåller de kognitiva funktioner som behövs för lärande och återgivning av högnivåaspekter av demonstrationer. Flera inlärningsmetoder för att rikta robotens uppmärksamhet och identifiera relevant information föreslås. Arkitekturen integrerar motorkommandon med begrepp, föremål och omgivningens tillstånd för att säkerställa korrekt återgivning av beteenden. Ett annat huvudresultat i denna avhandling rör metoder för att lösa tvetydigheter i demonstrationer, där lärarens intentioner inte är klart uttryckta och flera demonstrationer är nödvändiga för att kunna förutsäga intentioner på ett korrekt sätt. De utvecklade lösningarna är inspirerade av modeller av människors minne, och en primingmekanism används för att ge roboten ledtrådar som kan öka sannolikheten för att intentioner förutsägs på ett korrekt sätt. De utvecklade teknikerna har, i tillägg till robotinlärning, använts i ett halvautomatiskt system (shared control) baserat på visuellt guidade beteenden och primingmekanismer. Arkitekturen och inlärningsteknikerna tillämpas och utvärderas i flera verkliga scenarion som kräver en tydlig förståelse av mänskliga intentioner i demonstrationerna. Slutligen jämförs de utvecklade inlärningsmetoderna, och deras applicerbarhet under olika förhållanden diskuteras.
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Yoder, Ryan J. "Learning Cognitive Feedback Specificity during Training and the Effect on Learning for Cognitive Tasks." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256155902.
Full textYoder, Ryan J. "Learning cognitive feedback specificity during training and the effect of learning for cognitive tasks." Ohio : Ohio University, 2009. http://www.ohiolink.edu/etd/view.cgi?ohiou1256155902.
Full text任春華 and Chun-wa Yum. "Learning strategies and cognitive engagement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41717053.
Full textYum, Chun-wa. "Learning strategies and cognitive engagement." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41717053.
Full textReeder, Sarah. "Relationships in Aging, Cognitive Processes, and Contingency Learning." TopSCHOLAR®, 2006. http://digitalcommons.wku.edu/theses/259.
Full textWong, Pik-ha. "Cognitive obstacles in learning the laws of indices." [Hong Kong : University of Hong Kong], 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13834216.
Full textStrehler, Anne. "The relationship between cognitive load, cognitive style and multimedia learning." Thesis, Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-10282008-120644/.
Full textLeboe, Jason P. Milliken Bruce. "The inferential basis of perceptual performance /." *McMaster only, 2002.
Find full textEleftheriou, Georgie. "Cognitive reinforcement learning across the lifespan." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616939.
Full textBooks on the topic "Cognitive learning"
Stephen, Rayner, ed. Cognitive styles and learning strategies: Understanding style differences in learning and behaviour. London: D. Fulton Publishers, 1998.
Find full textSpeelman, Craig P. Beyond the learning curve. New York: Oxford University Press, 2005.
Find full textKommers, Piet A. M., David H. Jonassen, J. Terry Mayes, and Alcindo Ferreira, eds. Cognitive Tools for Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77222-1.
Full textEccles, John. Neurobiology of Cognitive Learning. Wiesbaden: VS Verlag für Sozialwissenschaften, 1992. http://dx.doi.org/10.1007/978-3-322-90053-1.
Full textKommers, Piet A. M. Cognitive Tools for Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.
Find full textM, Kommers Piet A., Jonassen David H. 1947-, Mayes J. Terry, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Mindtools: Cognitive Technologies for Modeling Knowledge (1990 : Enschede, Netherlands), eds. Cognitive tools for learning. Berlin: Springer-Verlag, 1992.
Find full textRoss, Brian H., and Jose P. Mestre. The psychology of learning and motivation: Cognition in education. San Diego, Calif: Elsevier, 2011.
Find full textJ, Riding R., and Rayner Stephen, eds. Cognitive styles. Stamford, Conn: Ablex Publishing Corp., 2000.
Find full textJin, Zheng. Exploring implicit cognition: Learning, memory, and social cognitive processes. Hershey, PA: Information Science Reference, an impring of IGI Global, 2015.
Find full text1942-, Flannery Daniele D., ed. Applying cognitive learning theory to adult learning. San Francisco, Calif: Jossey-Bass, 1993.
Find full textBook chapters on the topic "Cognitive learning"
Mayer, Richard E. "Cognitive Learning." In Encyclopedia of the Sciences of Learning, 594–96. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_390.
Full textFürnkranz, Johannes, Dragan Gamberger, and Nada Lavrač. "Beyond Concept Learning." In Cognitive Technologies, 217–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-75197-7_10.
Full textFürnkranz, Johannes, Dragan Gamberger, and Nada Lavrač. "Learning Single Rules." In Cognitive Technologies, 113–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-75197-7_6.
Full textFürnkranz, Johannes, Dragan Gamberger, and Nada Lavrač. "Learning Rule Sets." In Cognitive Technologies, 171–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-75197-7_8.
Full textTaylor, Sandie, and Lance Workman. "Memory and learning." In Cognitive Psychology, 84–126. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003014355-4.
Full textDer, Ralf, and Georg Martius. "Model Learning." In Cognitive Systems Monographs, 183–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20253-7_9.
Full textLeahey, Thomas Hardy. "Learning." In Fundamentals of Cognitive Science, 91–119. New York: Routledge, 2022. http://dx.doi.org/10.4324/9780429322822-4.
Full textSense, Andrew. "Cognitive Style." In Cultivating Learning within Projects, 66–92. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230591967_4.
Full textGrocott, Lisa. "Cognitive Psychology." In Design for Transformative Learning, 145–61. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429429743-13.
Full textHinkel, Eli. "Cognitive-Code Learning." In Encyclopedia of the Sciences of Learning, 625–26. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_737.
Full textConference papers on the topic "Cognitive learning"
Liu, Xiaotong, Anbang Xu, Zhe Liu, Yufan Guo, and Rama Akkiraju. "Cognitive Learning." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3312844.
Full textRuiz, Natalie, Qian Qian Feng, Ronnie Taib, Tara Handke, and Fang Chen. "Cognitive skills learning." In International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1891903.1891955.
Full textJamalian, A. H., R. Rezvani, and SH Mehrabi. "Learning in proximity." In Cognitive Computing (ICCI-CC). IEEE, 2011. http://dx.doi.org/10.1109/coginf.2011.6016127.
Full textJamalian, Amirhossein, and Shamim Mehrabi. "Emotional Learning Automaton." In 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2022. http://dx.doi.org/10.1109/iccicc57084.2022.10101665.
Full textWong, B. L. William. "Learning Cognitive Task Analysis." In HCI Educators 2009 - playing with our education. BCS Learning & Development, 2009. http://dx.doi.org/10.14236/ewic/hcied2009.6.
Full textN R, Gladiss Merlin, Tamizh Malar S G, Prathiksha K, Nivedha P, and Pavithra K. "Pictoquizezz: Engaging Cognitive Learning." In 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). IEEE, 2023. http://dx.doi.org/10.1109/rmkmate59243.2023.10369158.
Full textChiriacescu, Vlad, Leen-Kiat Soh, and Duane F. Shell. "Understanding human learning using a multi-agent simulation of the unified learning model." In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622237.
Full textTakahata, Kei, and Takao Miura. "Reinforcement Learning using Kalman Filters." In 2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2019. http://dx.doi.org/10.1109/iccicc46617.2019.9146066.
Full textZhang, Du. "Learning through explaining observed inconsistencies." In 2014 IEEE 13th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2014. http://dx.doi.org/10.1109/icci-cc.2014.6921452.
Full textZhang, Du. "Learning through overcoming temporal inconsistencies." In 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2015. http://dx.doi.org/10.1109/icci-cc.2015.7259378.
Full textReports on the topic "Cognitive learning"
Liu, Mingyan. Cognitive Tactical Radios: Cognition Through Learning and Strategy (CLearStrategy). Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada586790.
Full textWhitney, Paul. Learning from Text: A Cognitive Control Perspective. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada251842.
Full textSmith, Shelley. The cognitive learning styles of international students. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5615.
Full textJiang, Zhong-Ping. Cognitive Models for Learning to Control Dynamic Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada487160.
Full textStudak, Cathryn M., and Diana L. Allison. Developing Interdisciplinary Partnerships Based on Cognitive Learning Styles. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1331.
Full textMcGee, Steven, Amanda Durik, and Jess Zimmerman. The Impact of Text Genre on Science Learning in an Authentic Science Learning Environment. The Learning Partnership, April 2015. http://dx.doi.org/10.51420/conf.2015.2.
Full textOhlsson, Stellan. The Cognitive Function of Theoretical Knowledge in Procedural Learning. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada248075.
Full textReiser, Brian J., William A. Copen, Michael Ranney, Adnan Hamid, and Daniel Y. Kimberg. Cognitive and Motivational Consequences of Tutoring and Discovery Learning. Fort Belvoir, VA: Defense Technical Information Center, June 1998. http://dx.doi.org/10.21236/ada347269.
Full textGastelum, Zoe, Laura Matzen, Mallory Stites, Kristin Divis, Breannan Howell, Aaron Jones, and Michael Trumbo. Assessing Cognitive Impacts of Errors from Machine Learning and Deep Learning Models: Final Report. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821527.
Full textGaines, David A. Assessing the Cognitive Abilities of Alternate Learning Classifier System Architectures. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada416405.
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