Gotowa bibliografia na temat „Musée intelligent”
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Artykuły w czasopismach na temat "Musée intelligent"
Mizushima, Eiji. "Qu'est-ce qu'un Le point de vue d'un Japonais »musée intelligent«?" Museum International (Edition Francaise) 41, nr 4 (24.04.2009): 240. http://dx.doi.org/10.1111/j.1755-5825.1989.tb01223.x.
Pełny tekst źródłaHelzerman, R. A., i M. P. Harper. "MUSE CSP: An Extension to the Constraint Satisfaction Problem". Journal of Artificial Intelligence Research 5 (1.11.1996): 239–88. http://dx.doi.org/10.1613/jair.298.
Pełny tekst źródłaPhunaploy, Sathiya, Prachyanun Nilsook i Jarumon Nookhong. "Effects of AL-MIAP-based Learning Management to Promote Digital Intelligence for Undergraduate". Multidisciplinary Journal for Education, Social and Technological Sciences 8, nr 1 (1.04.2021): 13. http://dx.doi.org/10.4995/muse.2021.14048.
Pełny tekst źródłaNkambou, Roger, Janie Brisson, Ange Tato i Serge Robert. "Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 13 (26.06.2023): 15930–37. http://dx.doi.org/10.1609/aaai.v37i13.26891.
Pełny tekst źródłaLi, Boning, Jinsha Liu i Jianting Cao. "Robotic Motion Control via P300-based Brain-Computer Interface System". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 23 (6.11.2023): 105–15. http://dx.doi.org/10.24297/ijct.v23i.9538.
Pełny tekst źródłaSánchez-Sordo, José Manuel. "Data mining techniques for the study of online learning from an extended approach". Multidisciplinary Journal for Education, Social and Technological Sciences 6, nr 1 (20.05.2019): 1. http://dx.doi.org/10.4995/muse.2019.11482.
Pełny tekst źródłaKhasawneh, Mohamad. "The level of psychological and docial adjustment among a sample of persons with learning disabilities in Asir Region in light of some variables". Multidisciplinary Journal for Education, Social and Technological Sciences 7, nr 2 (6.10.2020): 61. http://dx.doi.org/10.4995/muse.2020.14111.
Pełny tekst źródłaDieber, Jürgen, i Sabrina Kirrane. "A novel model usability evaluation framework (MUsE) for explainable artificial intelligence". Information Fusion 81 (maj 2022): 143–53. http://dx.doi.org/10.1016/j.inffus.2021.11.017.
Pełny tekst źródłaTakadama, Keiki. "Selected Papers from i-SAIRAS 2010". Journal of Advanced Computational Intelligence and Intelligent Informatics 15, nr 8 (20.10.2011): 1139. http://dx.doi.org/10.20965/jaciii.2011.p1139.
Pełny tekst źródłaChurch, Kenneth Ward. "Benchmarks and goals". Natural Language Engineering 26, nr 5 (10.08.2020): 579–92. http://dx.doi.org/10.1017/s1351324920000418.
Pełny tekst źródłaRozprawy doktorskie na temat "Musée intelligent"
Moualla, Aliaa. "Un robot au Musée : Apprentissage cognitif et conduite esthétique". Thesis, CY Cergy Paris Université, 2020. http://www.theses.fr/2020CYUN1002.
Pełny tekst źródłaIn my thesis I treat the subject of autonomous learning based on social referencing in a real environment, "the museum". I am interested in adding and analyzing the mechanisms necessary for a robot to pursue such a type of learning. I am also interested in the impact of a specific and individual learning to each robot on the whole of a group of robots confronted with a known situation or on the contrary new, more precisely:In the first chapter, we will discuss in a didactic way the tools needed to understand the models and methods that we will use throughout our work. We will discuss the basics of neural formalism, conditioning learning, categorization, and dynamic neural fields.In the second chapter, we will briefly present the biological visual system then we will review a state of the art of different models dealing with visual perception and object recognition. As part of a bio-inspired approach, we will then present the model of the visual system of the "Berenson" robot, the sensorimotor architecture allowing to associate an emotional value with an observed object. Then we study the performances of the visual system with and without space competition mechanism.In the third chapter we will move to the level of human-machine interactions, we will show that the interest of visitors to the robot does not only depend on its shape, but on its behavior and more specifically its ability to interact on an emotional level. (here facial expressions). We first analyze the impact of the visual system on the low level control of robot actions. We show that the low level of the spatial competition between the values associated with the zones of interest of the image is important for the recognition of objects and thus affects the coherence of the behavior of the robot and therefore the legibility of this behavior. . We then introduce modifications on the control of eye, head and body movements inspired by biological processes (change of the frame of reference). In the end, we analyze the tests performed in the museum to assess the readability of the behavior of the robot (its movements and facial expressions).In the fourth chapter, our work continues with the addition of inspired bio-based neural mechanisms that allow the emergence of important joint attention capacity to achieve more "natural" interactions with visitors to the museum but also to discuss a point from a theoretical point of view the emergence of the notion of agency. Berenson represents today a form of experimentation unique in the social sciences as in development robotics.In the fifth chapter, we will focus on evaluating the effect of the emergence of aesthetic preferences on a whole population of robots (in simulation). We argue that the variability of learning offered by special environments such as a museum leads to the individuation of robots. We also question the interest of teaching artificial systems using a single large database in order to improve their performance. Avoiding a uniform response to an unknown situation in a population of individuals increases its chances of success
Richard, Jérémy. "De la capture de trajectoires de visiteurs vers l’analyse interactive de comportement après enrichissement sémantique". Electronic Thesis or Diss., La Rochelle, 2023. http://www.theses.fr/2023LAROS012.
Pełny tekst źródłaThis thesis focuses on the behavioral study of tourist activity using a generic and interactive analysis approach. The developed analytical process concerns the tourist trajectory in the city and museums as the study field. Experiments were conducted to collect movement data in the tourist city using GPS signals, thus enabling the acquisition of a movement trajectory. However, the study primarily focuses on reconstructing a visitor’s trajectory in museums using indoor positioning equipment, i.e., in a constrained environment. Then, a generic multi-aspect semantic enrichment model is developed to supplement an individual’s trajectory using multiple context data such as the names of neighborhoods the individual passed through in the city, museum rooms, weather outside, and indoor mobile application data. The enriched trajectories, called semantic trajectories, are then analyzed using formal concept analysis and the GALACTIC platform, which enables the analysis of complex and heterogeneous data structures as a hierarchy of subgroups of individuals sharing common behaviors. Finally, attention is paid to the "ReducedContextCompletion" algorithm that allows for interactive navigation in a lattice of concepts, allowing the data analyst to focus on the aspects of the data they wish to explore
Książki na temat "Musée intelligent"
Gelernter, David. The muse in the machine: Computers and creative thought. London: Fourth Estate, 1994.
Znajdź pełny tekst źródłaGelernter, David. The muse in the machine: Computerizing the poetry of human thought. New York: Free Press, 1994.
Znajdź pełny tekst źródłaAlvin, Chin, Helic Denis, Hotho Andreas i SpringerLink (Online service), red. Modeling and Mining Ubiquitous Social Media: International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Znajdź pełny tekst źródłaAtzmueller, Martin. Analysis of Social Media and Ubiquitous Data: International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.
Znajdź pełny tekst źródłaGelernter, David. The Muse in the Machine. HarperCollins Publishers, 1997.
Znajdź pełny tekst źródłaGelernter, David. Muse in the machine: Computers and creative thought. Fourth Estate, 1995.
Znajdź pełny tekst źródłaGelernter, David. Muse in the Machine: Computerizing the Poetry of Human Thought. Free Press, 2010.
Znajdź pełny tekst źródłaGelernter, David. The Muse in the Machine: Computerizing the Poetry of Human Thought. Free Press, 2002.
Znajdź pełny tekst źródłaAtzmueller, Martin, Alvin Chin, Andreas Hotho i Denis Helic. Modeling and Mining Ubiquitous Social Media: International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers. Springer London, Limited, 2012.
Znajdź pełny tekst źródłaAtzmueller, Martin, Alvin Chin i Denis Helic. Modeling and Mining Ubiquitous Social Media: International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers. Springer, 2012.
Znajdź pełny tekst źródłaCzęści książek na temat "Musée intelligent"
Fischnaller, Franz. "New Media Exhibit at the Musée des Civilisations de L’Europe et de la Méditerranée". W Advances in Intelligent Systems and Computing, 44–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12240-9_6.
Pełny tekst źródłaCarthen, Chase D., Richard Kelley, Cris Ruggieri, Sergiu M. Dascalu, Justice Colby i Frederick C. Harris. "MUSE: A Music Conducting Recognition System". W Advances in Intelligent Systems and Computing, 363–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54978-1_49.
Pełny tekst źródłaBozzano, Michele, Daniela Briola, Diego Leone, Angela Locoro, Lanfranco Marasso i Viviana Mascardi. "MUSE: MUltilinguality and SEmantics for the Citizens of the World". W Intelligent Distributed Computing VI, 97–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32524-3_13.
Pełny tekst źródłaSimões, Delfim, Pedro Henriques Abreu i Daniel Castro Silva. "MusE Central: A Data Aggregation System for Music Events". W Advances in Intelligent Systems and Computing, 187–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05948-8_18.
Pełny tekst źródła"6. Intelligent Design". W The Tainted Muse, 204–42. Yale University Press, 2017. http://dx.doi.org/10.12987/9780300155457-007.
Pełny tekst źródłaSrivastava, S. "Applications of Artificial Intelligence in Polymer Manufacturing". W Materials Research Foundations, 105–22. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902530-5.
Pełny tekst źródła"4. The Evolution of Evolution: Genes, Memes, Intelligent Design, and Nabokov". W The Superstitious Muse, 127–48. Academic Studies Press, 2019. http://dx.doi.org/10.1515/9781618116789-006.
Pełny tekst źródłaHead, Tom. "A COSMIC MUSE". W Series in Machine Perception and Artificial Intelligence, 155–59. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773036_0010.
Pełny tekst źródłaLyons, Sara. "Acting Clever in Henry James". W Assessing Intelligence, 157–86. Edinburgh University Press, 2022. http://dx.doi.org/10.3366/edinburgh/9781474497664.003.0004.
Pełny tekst źródłaStreszczenia konferencji na temat "Musée intelligent"
Wu, Xiaodong, Miguel Abrahantes i Mark Edgington. "MUSSE: A designed multi-ultrasonic-sensor system for echolocation on multiple robots". W 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2016. http://dx.doi.org/10.1109/acirs.2016.7556192.
Pełny tekst źródłaHanten, Richard, Cornelia Schulz, Adrian Zwiener i Andreas Zell. "MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods". W 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. http://dx.doi.org/10.1109/iros40897.2019.8967893.
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