Letteratura scientifica selezionata sul tema "Algorithme cognitif"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Consulta la lista di attuali articoli, libri, tesi, atti di convegni e altre fonti scientifiche attinenti al tema "Algorithme cognitif".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Articoli di riviste sul tema "Algorithme cognitif":
Jalenques, I. "SMP – Diagnostic et traitement personnalisés : un paradigme d’avenir dans les troubles schizophréniques". European Psychiatry 29, S3 (novembre 2014): 591–92. http://dx.doi.org/10.1016/j.eurpsy.2014.09.315.
Diederichs, Elmar. "Reinforcement Learning - A Technical Introduction". Journal of Autonomous Intelligence 2, n. 2 (19 agosto 2019): 25. http://dx.doi.org/10.32629/jai.v2i2.45.
Anderson, John R. "Methodologies for studying human knowledge". Behavioral and Brain Sciences 10, n. 3 (settembre 1987): 467–77. http://dx.doi.org/10.1017/s0140525x00023554.
Foley, J. M., M. J. Wright, A. L. Gooding, M. Ettenhofer, M. Kim, M. Choi, S. A. Castellon et al. "Operationalization of the updated diagnostic algorithm for classifying HIV-related cognitive impairment and dementia". International Psychogeriatrics 23, n. 5 (19 novembre 2010): 835–43. http://dx.doi.org/10.1017/s1041610210002085.
Gonda, Dalibor, Viliam Ďuriš, Anna Tirpáková e Gabriela Pavlovičová. "Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students". Mathematics 10, n. 20 (18 ottobre 2022): 3857. http://dx.doi.org/10.3390/math10203857.
Lee, Won Hee. "The Choice of Machine Learning Algorithms Impacts the Association between Brain-Predicted Age Difference and Cognitive Function". Mathematics 11, n. 5 (2 marzo 2023): 1229. http://dx.doi.org/10.3390/math11051229.
Wahn, Basil, Laura Schmitz, Frauke Nora Gerster e Matthias Weiss. "Offloading under cognitive load: Humans are willing to offload parts of an attentionally demanding task to an algorithm". PLOS ONE 18, n. 5 (19 maggio 2023): e0286102. http://dx.doi.org/10.1371/journal.pone.0286102.
Amoore, Louise, e Rita Raley. "Securing with algorithms: Knowledge, decision, sovereignty". Security Dialogue 48, n. 1 (12 dicembre 2016): 3–10. http://dx.doi.org/10.1177/0967010616680753.
Dangi, Siddharth, Amy L. Orsborn, Helene G. Moorman e Jose M. Carmena. "Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces". Neural Computation 25, n. 7 (luglio 2013): 1693–731. http://dx.doi.org/10.1162/neco_a_00460.
Ionescu, Claudiu Gabriel, e Monica Licu. "Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review". Social Sciences 12, n. 8 (21 agosto 2023): 465. http://dx.doi.org/10.3390/socsci12080465.
Tesi sul tema "Algorithme cognitif":
Calandra, Joséphine. "L'algorithmie cognitive et ses applications musicales". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUL148.
This thesis presents the formalization and development of a music analysis software called "Multiscale Oracle Representations For Organized Sounds" (MORFOS). This software aims to implement a multi-scale model of musical form based on Jean-Marc Chouvel's Cognitive Algorithm. The work in this thesis is part of the cognitive analysis in musicology, aimed at understanding the cognitive processes involved in listening to music. We study a hierarchical representation of music and explore the influence of this hierarchy on the organization of musical events over time and on musical comprehension. We formalize the concepts of material, object, and formal diagram, and introduce the Multi-scale Formal Diagram, which describes musical structure at different temporal scales and levels of analysis. This comprises three planes, which we introduce: form, structure, and organization. MORFOS has been implemented in Python and accepts audio, symbolic, and vector representations. This software features a modular architecture integrating different modules for audio processing, classification, and segmentation: we present different measures implemented in the form of a set of rules and discuss the constraints associated with the study of classification and segmentation based on an audio representation. We also introduce the notion of Agenda, which corresponds to the user's choice of a set of rules to represent a "listening" model for the software's analysis of a musical work. The thesis also explores the question of the complexity of the musical structure: we propose the expression of a cost associated with the description of the acquired musical object depending on its context, according to Kolmogorov's definition. We also seek to compare the behavior of MORFOS software with attentional phenomena and cognitive load during musical listening. An experiment designed to measure cognitive load during the musical segmentation task has thus been devised. This thesis also presents reflections on the visualization of multi-scale formal diagrams. To this end, we have developed an interface to make the software accessible to all users. Finally, examples of musical analyses carried out with MORFOS are presented, on a pop music database and a corpus of classical works
Li, Jun. "Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Comparative Cognition". Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/7.
Ginhac, Dominique. "Adéquation Algorithme architecture : Aspects logiciels, matériels et cognitifs". Habilitation à diriger des recherches, Université de Bourgogne, 2008. http://tel.archives-ouvertes.fr/tel-00646480.
El-Nainay, Mustafa Y. "Island Genetic Algorithm-based Cognitive Networks". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28297.
Ph. D.
Butterfield, Aaron S. "Using Synthetic Cognits and The Combined Cumulative Squared Deviation as Tools to Quantify the Performance of Cognitive Radar Algorithms". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461242979.
Béler, Cédrick. "Modélisation générique d'un retour d'expérience cognitif : application à la prévention des risques". Phd thesis, Toulouse, INPT, 2008. http://oatao.univ-toulouse.fr/7249/1/beler.pdf.
Mäkeläinen, M. (Marko). "Algorithms for opportunistic load balancing cognitive engine". Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201303011071.
Yhä tehokkaampien älykkäiden langattomien päätelaitteiden nopea lisääntyminen johtaa niukan radiospektrin yhä kiihtyvään käyttöön. Eräs menetelmä radiospektrin lisääntyvän kysynnän tyydyttämiseen on hyödyntää innovatiivista ja joustavaa resurssin käytönjakoa kuten spektrin jakamista. Spektrinjakamismalli mahdollistaa useiden käyttäjien ja/tai järjestelmien yhtäaikaisen käytön samalla taajuuskaistalla hyödyntämällä sovittua käytäntöä resurssien jakamisesta. Radiospektrin jakaminen on tänä päivänä yleisesti suositeltu toteuttamaan hyödyntämällä kognitiivista radioteknologiaa. Tässä työssä suunnittellaan ja toteutetaan kognitiivinen päätöksentekokone, joka jakaa radiospektriresursseja käyttäjille älykkäästi ja dynaamisesti. Kognitiivista päätöksentekokonetta radioresurssien jakamisessa hyödynnetään kahdessa skenaariossa. Ensimmäisessä skenaariossa radioverkolla on yksinomainen pääsy taajuuskaistalle, jonka käyttöä kognitiivinen päätöksentekokone säätelee joko hyväksymällä tai hylkäämällä verkkoon liittyviä käyttäjiä. Kognitiivinen päätöksentekokoneen päätökset perustuu algoritmiin, joka ottaa huomioon käyttäjien määritetyn tärkeyden ja käyttäjän vaatiman kaistanleveyden. Seuraavassa skenaariossa radioverkko voi oman yksinomaisen taajuuskaistan lisäksi hyödyntää opportunisesti toisen radioverkon taajuuskaistaa silloin, kun siellä ei ole liikennettä. Tätä skenaariota varten suunnitteltiin kognitiivinen päätöksentekokone, jolla on kaksi päätehtävää: 1) hyväksyä tai hylätä verkkoon liittyviä käyttäjiä edellämainitun tärkeysperusteisen algoritmin avulla; ja 2) jakaa käyttäjien liikennettä kahden tarjolla olevan verkon välillä samalla ottaen huomioon opportunistisen resurssin pääkäyttäjien liikenteen jaetulla taajuuskaistalla. Tässä työssä esitellään toteutettu kuormantasausalgoritmi, jonka suorituskykyä tarkastellaan erilaisissa pääkäyttäjien ja toissijaisien käyttäjien liikenneskenaarioissa. Simulaatiotulokset osoittavat, että esitellyn kuormanjakoalgoritmin hyödyntäminen kognitiivisessa päätöksentekokoneessa parantaa verkon keskimääräistä siirtonopeutta, sekä vähentää keskimääräistä käyttäjien hylkäysastetta verkossa. Algoritmimme parantaa opportunistisen taajuuskaistan käyttöastetta. Algoritmimme ottaa myös huomioon käyttäjille asetetut prioriteetit ja parantaa korkeampi prioriteettisten käyttäjien asemaa verkossa. Tämä tulee ilmi muun muassa korkeampi prioriteettisten käyttäjien pienemmässä hylkäysasteessa
Mariani, Andrea <1984>. "Spectrum Sensing Algorithms for Cognitive Radio Applications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5615/2/Mariani_Andrea_SpectrumSensingforCognitiveRadio.pdf.
Mariani, Andrea <1984>. "Spectrum Sensing Algorithms for Cognitive Radio Applications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5615/.
Reje, Franzén Fanny, e Saga Gardelin. "Hide and seek with algorithm : En intervjustudie av cosplay-kreatörers "folk" teorier i förhållande till TikToks algoritm". Thesis, Linnéuniversitetet, Institutionen för medier och journalistik (MJ), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104833.
Libri sul tema "Algorithme cognitif":
Foster, C. L. Algorithms, abstraction, and implementation: Levels of detail in cognitive science. London: Academic Press, 1992.
Perlovsky, Leonid, Ross Deming e Roman Ilin. Emotional Cognitive Neural Algorithms with Engineering Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22830-8.
Robbins, Trevor W., Peter M. Todd e Thomas Trenholm Hills. Cognitive search: Evolution, algorithms, and the brain. Cambridge, MA: MIT Press, 2012.
Esposito, Anna, Amir Hussain, Maria Marinaro e Raffaele Martone, a cura di. Multimodal Signals: Cognitive and Algorithmic Issues. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00525-1.
Pinna, Simone. Extended Cognition and the Dynamics of Algorithmic Skills. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51841-1.
Talvitie, Vesa. Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Talvitie, Vesa. Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Perlovsky, Leonid. Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: FromVague to Crisp. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Günthner, W. Enhancing cognitive assistance systems with inertial measurement units. Berlin: Springer, 2008.
Esposito, Anna. Multimodal signals: Cognitive and algorithmic issues : COST Action 2102 and euCognition International School Vietri Sul Mare, Italy, April 21-26, 2008 : revised selected and invited papers. Berlin: Springer, 2009.
Capitoli di libri sul tema "Algorithme cognitif":
Hausser, Roland. "Algorithm". In Computational Cognition, 21–36. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37499-9_2.
Frühwirth, Thom, e Slim Abdennadher. "Algorithm = Logic + Control". In Cognitive Technologies, 7–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05138-2_2.
Kaur, Kiranjit, e Vijay Laxmi. "A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Machine Learning". In Cognitive Computing in Human Cognition, 49–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48118-6_5.
Der, Ralf, e Georg Martius. "Algorithmic Implementation". In Cognitive Systems Monographs, 261–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20253-7_15.
Kaindl, H. "Tree Searching Algorithms". In Computers, Chess, and Cognition, 133–58. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-9080-0_8.
Leiser, David, e Christiane Gillièron. "The Extraction Algorithm beneath the Basic Algorithm". In Cognitive Science and Genetic Epistemology, 79–97. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-5649-3_5.
Fetzer, James H. "Mental Algorithms". In Computers and Cognition: Why Minds are not Machines, 101–29. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0973-7_5.
Conrardy, Céline, Roland de Guio e Bruno Zuber. "Facetwise Study of Modelling Activities in the Algorithm for Inventive Problem Solving ARIZ and Evolutionary Algorithms". In Design Computing and Cognition ’10, 189–207. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0510-4_11.
Palestro, James J., Per B. Sederberg, Adam F. Osth, Trisha Van Zandt e Brandon M. Turner. "Likelihood-Free Algorithms". In Likelihood-Free Methods for Cognitive Science, 13–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72425-6_2.
Zenil, Hector, Fernando Soler Toscano e Nicolas Gauvrit. "Algorithmic Complexity in Cognition". In Methods and Applications of Algorithmic Complexity, 191–256. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64985-5_9.
Atti di convegni sul tema "Algorithme cognitif":
Carpenter, Steven, Xinming Yu, Melih Altun, James Graham, J. Jim Zhu e Janusz Starzyk. "Vision Guided Motion Control of a Biomimetic Quadruped Robot: RoboCat". In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63805.
Huang, Shan, Haiyan Wang, Chengqi Xue e Shuang Xia. "Icon Similarity Algorithm Based on Skeleton Comparison". In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100963.
Amanna, Ashwin, Matthew J. Price, Soumava Bera, Manik Gadhiok e Jeffrey H. Reed. "Cognitive Engine Architecture for Railway Communications". In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42011.
Gilg, Marc, Yaser Yousef e Pascal Lorenz. "Using Image Processing Algorithms for Energy Efficient Routing Algorithm in Sensor Networks". In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.98.
Guo, Yan, e Ning Li. "Cognitive beamforming algorithm". In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057249.
Saidala, Ravi Kumar, e Nagaraju Devarakonda. "The tornadogenesis optimization algorithm". In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109777.
Teng, Zhiqiang, Haodong Chen, Qitao Hou, Wanbing Song, Chenchen Gu e Ping Zhao. "Design of a Cognitive Rehabilitation System Based on Gesture Recognition". In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23579.
Paul, Padma Polash, e Marina Gavrilova. "Novel multimodal template generation algorithm". In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622228.
Ren, Qingchun, e Qilian Liang. "Performance Analysis of Energy Detection for Cognitive RadioWireless Networks". In 2007 International Conference on Wireless Algorithms, Systems and Applications. IEEE, 2007. http://dx.doi.org/10.1109/wasa.2007.17.
Abbass, Hussein. "On the Role of Modelling and Simulation for Artificial Intelligence". In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0005.
Rapporti di organizzazioni sul tema "Algorithme cognitif":
Perlovsky, Leonid I. Cognitive Algorithms for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, marzo 2011. http://dx.doi.org/10.21236/ada546287.
Anandkumar, Animashree, Nithin Michael, Ao K. Tang e Ananthram Swami. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. Fort Belvoir, VA: Defense Technical Information Center, giugno 2010. http://dx.doi.org/10.21236/ada524660.
Oleksiuk, Vasyl P., e Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], novembre 2020. http://dx.doi.org/10.31812/123456789/4404.
Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olesia O. Prokofieva, Olha V. Kovalova e Arnold E. Kiv. Features of implementation of modern AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders. [б. в.], novembre 2020. http://dx.doi.org/10.31812/123456789/4413.
Petrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka e Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, luglio 2021. http://dx.doi.org/10.31812/123456789/4635.
Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev e Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, luglio 2020. http://dx.doi.org/10.31812/123456789/4633.