Готові списки джерел за темами / Musée intelligent

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Добірка наукової літератури з теми "Musée intelligent"

Автор: Grafiati

Опубліковано: 30 листопада 2023

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Статті в журналах з теми "Musée intelligent"

Mizushima, Eiji. "Qu'est-ce qu'un Le point de vue d'un Japonais »musée intelligent«?" Museum International (Edition Francaise) 41, no. 4 (April 24, 2009): 240. http://dx.doi.org/10.1111/j.1755-5825.1989.tb01223.x.

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Helzerman, R. A., and M. P. Harper. "MUSE CSP: An Extension to the Constraint Satisfaction Problem." Journal of Artificial Intelligence Research 5 (November 1, 1996): 239–88. http://dx.doi.org/10.1613/jair.298.

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This paper describes an extension to the constraint satisfaction problem (CSP) called MUSE CSP (MUltiply SEgmented Constraint Satisfaction Problem). This extension is especially useful for those problems which segment into multiple sets of partially shared variables. Such problems arise naturally in signal processing applications including computer vision, speech processing, and handwriting recognition. For these applications, it is often difficult to segment the data in only one way given the low-level information utilized by the segmentation algorithms. MUSE CSP can be used to compactly represent several similar instances of the constraint satisfaction problem. If multiple instances of a CSP have some common variables which have the same domains and constraints, then they can be combined into a single instance of a MUSE CSP, reducing the work required to apply the constraints. We introduce the concepts of MUSE node consistency, MUSE arc consistency, and MUSE path consistency. We then demonstrate how MUSE CSP can be used to compactly represent lexically ambiguous sentences and the multiple sentence hypotheses that are often generated by speech recognition algorithms so that grammar constraints can be used to provide parses for all syntactically correct sentences. Algorithms for MUSE arc and path consistency are provided. Finally, we discuss how to create a MUSE CSP from a set of CSPs which are labeled to indicate when the same variable is shared by more than a single CSP.

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Phunaploy, Sathiya, Prachyanun Nilsook, and Jarumon Nookhong. "Effects of AL-MIAP-based Learning Management to Promote Digital Intelligence for Undergraduate." Multidisciplinary Journal for Education, Social and Technological Sciences 8, no. 1 (April 1, 2021): 13. http://dx.doi.org/10.4995/muse.2021.14048.

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This paper has two main aims: the first is to study pre- and post- leaning achievement utilizing AL MIAP to promote copyright digital intelligence for Suan Suan Sunandha Rajabhat University undergraduate students; and the three is to investigate the appropriateness of leaning management adopting an AL MIAP leaning model to promote the students’ digital intelligence. An AL MIAP learning model was utilized in the processes to promote five digital intelligence skills, i.e. respecting copyright, prevention, checking before sharing, threat awareness and using safely. Fifty-eight Suan Sunandha Rajabhat University undergraduate students in the three year enrolled in the introduction to digital economy course and were selected in a sample group. The tools were: Kahoot!, Google Forms, content network chart, pre- and post-test, digital media copyright test and the AL MIAP learning model. Percentage, mean, S.D, and T-test were applied in the research. The study revealed that the post-learning achievement was better that the pre-learning achievement with statistical significance at 0.01; the students gained total scores of 17.06, which was 7.16 points higher than the pre-learning scores, signifying that their digital intelligence skills were better. As for AL MIAP leaning model, it revealed that this model was appropriate at the highest level.

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Nkambou, Roger, Janie Brisson, Ange Tato, and 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, no. 13 (June 26, 2023): 15930–37. http://dx.doi.org/10.1609/aaai.v37i13.26891.

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In our previous works, we presented Logic-Muse as an Intelligent Tutoring System that helps learners improve logical reasoning skills in multiple contexts. Logic-Muse components were validated and argued by experts throughout the designing process (ITS researchers, logicians, and reasoning psychologists). A catalog of reasoning errors (syntactic and semantic) has been established, in addition to an explicit representation of semantic knowledge and the structures and meta-structures underlying conditional reasoning. A Bayesian network with expert validation has been developed and used in a Bayesian Knowledge Tracing (BKT) process that allows the inference of the learner skills. This paper presents an evaluation of the learner-model components in Logic-Muse (a bayesian learner model). We conducted a study and collected data from nearly 300 students who processed 48 reasoning activities. These data were used to develop a psychometric model for initializing the learner's model and validating the structure of the initial Bayesian network. We have also developed a neural architecture on which a model was trained to support a deep knowledge tracing (DKT) process. The proposed neural architecture improves the initial version of DKT by allowing the integration of expert knowledge (through the Bayesian Expert Validation Network) and allowing better generalization of knowledge with few samples. The results show a significant improvement in the predictive power of the learner model. The analysis of the results of the psychometric model also illustrates an excellent potential for improving the Bayesian network's structure and the learner model's initialization process.

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Li, Boning, Jinsha Liu, and Jianting Cao. "Robotic Motion Control via P300-based Brain-Computer Interface System." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 23 (November 6, 2023): 105–15. http://dx.doi.org/10.24297/ijct.v23i.9538.

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BCI have ignited extensive research interest in fields such as neuroscience, artificial intelligence, and biomedical engineering, as they offer an opportunity to interact directly with the external environment brain signals. Despite the immense potential for applications, practical use of BCI still faces several challenges, including equipment cost and operational complexity. This study aims to develop a Brain-Computer Interface system based on P300 visual stimuli, utilizing a low-cost, user-friendly portable Muse EEG equipment for data acquisition. We designed and implemented a P300 visual stimulator in a 3x3 grid pattern, acquire the user's EEG signals using the Muse EEG equipment, and classify the data using a SVM classifier, ultimately realizing control over robot movement. Offline experimental results demonstrated an accuracy of 84.1% for the classifier under offline stage, while online stage achieved a successful execution rate of 81.2%. These findings substantiate the feasibility and potential of using low-cost, portable devices like the Muse EEG equipment for BCI research, opening new avenues in the field.

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Sánchez-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, no. 1 (May 20, 2019): 1. http://dx.doi.org/10.4995/muse.2019.11482.

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In the latest years information technologies have impacted society changing the way human beings learn, and because of that it is necessary to study the intimate relationship between humans and their technological tools. On this path the extended mind thesis posits human cognition as a process that occurs in conjunction between biological and non-biological components, furthermore Connectivism is stated as a learning theory for the digital age. Based on such approaches this work presents a summary of a research whose objective was to know how people extend their cognitive processes with the aim of learning through the internet. Methodologically, an artificial intelligence algorithm for supervised learning (J48) was used to analyze the data of 336 participants with the aim of obtaining classification rules (patterns) of internet use. Finally, the results show that people who report visiting specialized websites, read electronic books and take into account the spelling of the resources they are looking at on the internet are the ones with optimal strategies for learning online.

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Khasawneh, 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, no. 2 (October 6, 2020): 61. http://dx.doi.org/10.4995/muse.2020.14111.

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This study aimed at investigating the level of psychological and social adjustment in relation to the grade and type of learning disability among persons with learning disabilities in the Asir region. The study was applied to a sample of (350) students studying in schools in the Department of Education in Asir. The sample responded to the psychological and social adjustment scale developed as a tool of the study. The results showed that the level of psychological and social adjustment came with a medium degree, as well as the absence of statistically significant differences in the level of psychological and social adjustment students in the basic stage. In light of the results, the researcher recommended preparing awareness programs for teachers of learning disabilities to identify the various indicators that accompany the phenomenon of psychological and social adjustment for persons with learning disabilities. The study also recommends conducting more studies on psychological and social adjustment and its relationship to other variables, such as emotional intelligence.

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Dieber, Jürgen, and Sabrina Kirrane. "A novel model usability evaluation framework (MUsE) for explainable artificial intelligence." Information Fusion 81 (May 2022): 143–53. http://dx.doi.org/10.1016/j.inffus.2021.11.017.

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Takadama, Keiki. "Selected Papers from i-SAIRAS 2010." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (October 20, 2011): 1139. http://dx.doi.org/10.20965/jaciii.2011.p1139.

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This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 - September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart sensors, testing and validation, architectures); (2) mission operations automation (e.g., decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking); (3) design tools and optimization methods, electronic documentation; and (4) AI methods (e.g., automated planning and scheduling, agents model-based reasoning, machine learning and data mining). In the selection process for JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), 13 papers were firstly nominated from 133 oral presentation papers as outstanding AI-related papers by i-SAIRAS International Committee, and 6 papers were finally accepted through the two-stages of pear-reviews. All papers were reviewed by three reviewers. As the brief introduction of these papers, the paper by Mark Johnston and Mark Giuliano presents an architecture called MUSE (Multi-User Scheduling Environment) to integrate multi-objective evolutionary algorithms with existing domain planning and scheduling tools. The second paper by Amdeo Cesta et al. discusses general lessons learned from a series of deployed planning and scheduling systems. The third paper by Alessandro Donati et al. spotlights specific achievements and trends in the area of spacecraft diagnosis and mission planning and scheduling. The fourth paper by Cedric Cocaud and Takashi Kubota proposes the system that provides position and attitude information to a spacecraft during its approach descent and landing phase toward the surface of an asteroid. The firth paper by Tomohiro Harada et al. studies On-Board Computer which evolves computer programs through the bit inversion and analyzes its robustness to the bit inversion. Finally, the last paper by Masayuki Otani et al. explores the distributed control of the multiple robots which may be broken in the assembly of space solar power satellite. The editor hopes that these papers would help for readers to capture the state-of-art of AI technology in space.

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Church, Kenneth Ward. "Benchmarks and goals." Natural Language Engineering 26, no. 5 (August 10, 2020): 579–92. http://dx.doi.org/10.1017/s1351324920000418.

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AbstractBenchmarks can be a useful step toward the goals of the field (when the benchmark is on the critical path), as demonstrated by the GLUE benchmark, and deep nets such as BERT and ERNIE. The case for other benchmarks such as MUSE and WN18RR is less well established. Hopefully, these benchmarks are on a critical path toward progress on bilingual lexicon induction (BLI) and knowledge graph completion (KGC). Many KGC algorithms have been proposed such as Trans[DEHRM], but it remains to be seen how this work improves WordNet coverage. Given how much work is based on these benchmarks, the literature should have more to say than it does about the connection between benchmarks and goals. Is optimizing P@10 on WN18RR likely to produce more complete knowledge graphs? Is MUSE likely to improve Machine Translation?

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Більше джерел

Дисертації з теми "Musée intelligent"

Moualla, Aliaa. "Un robot au Musée : Apprentissage cognitif et conduite esthétique." Thesis, CY Cergy Paris Université, 2020. http://www.theses.fr/2020CYUN1002.

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Un robot au Musée: Apprentissage cognitif et conduite esthétique.Dans ma thèse je traite le sujet d'un apprentissage autonome basé sur la référenciation sociale dans un environnement réel, "le musée". Je m'intéresse à l’ajout et l'analyse de mécanismes nécessaires pour qu'un robot puisse poursuivre un tel type d'apprentissage. Je m'intéresse également à l'impact d'un apprentissage spécifique et individuel à chaque robot sur l'ensemble d'un groupe de robots confronté à une situation connue ou au contraire nouvelle, plus précisément :Dans le premier chapitre, nous aborderons de manière didactique les outils nécessaires à la compréhension des modèles et des méthodes que nous utiliserons tout au long de nos travaux. Nous aborderons les bases du formalisme neuronal, de l’apprentissage par conditionnement, de la catégorisation, et des champs de neurones dynamiques.Dans le deuxième chapitre, nous présenterons brièvement le système visuel biologique puis nous passerons en revue un état de l’art des différents modèles traitant la perception visuelle et la reconnaissance d'objet. Dans le cadre d’une approche bio-inspirée, nous présenterons ensuite le modèle du système visuel du robot "Berenson", l’architecture sensori-motrice permettant d’associer une valeur émotionnelle à un objet observé. Puis nous étudions les performances du système visuel avec et sans mécanisme de compétition spatiale.Dans le troisième chapitre nous passerons au niveau des interactions Homme-Machine, nous montrerons que l’intérêt des visiteurs porté au robot ne dépend pas que de sa forme, mais de son comportement et plus précisément de sa capacité à interagir aussi sur un registre émotionnel (ici des expressions faciales). Nous analysons tout d'abord l'impact du système visuel sur le contrôle bas niveau des actions du robot. Nous montrons que le bas niveau de la compétition spatiale entre les valeurs associées aux zones d’intérêt de l’image est important pour la reconnaissance d'objets et affecte donc la cohérence du comportement du robot et donc par la suite la lisibilité de ce comportement. Nous introduisons ensuite des modifications sur le contrôle des mouvements des yeux, de la tête et du corps en s'inspirant de processus biologiques (changement du cadre de référence). À la fin, nous analysons les tests effectués dans le musée afin d’évaluer la lisibilité du comportement du robot (ses mouvements et ses expressions faciales).Dans le quatrième chapitre nos travaux se poursuivent par l’ajout de mécanismes neuronaux élémentaires bio inspirés permettant l’émergence de capacité d’attention conjointe importante pour obtenir des interactions plus " naturelles " avec les visiteurs du musée mais aussi pour discuter d’un point de vue théorique l’émergence de la notion d’agentivité. Berenson représente donc aujourd’hui une forme d’expérimentation unique dans les sciences sociales comme en robotique du développement.Dans le cinquième chapitre, nous intéresserons à l’évaluation de l’effet de l’émergence de préférences esthétiques sur toute une population de robots (en simulation). Nous soutenons que la variabilité de l'apprentissage offerte par des environnements spéciaux tels qu'un musée conduit à l'individuation des robots. Nous nous interrogeons également sur l’intérêt d’enseigner des systèmes artificiels utilisant une seule grande base de données dans le but d’améliorer leurs performances. Éviter une réponse uniforme à une situation inconnue dans une population d'individus augmente ses chances de réussite
In 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

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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.

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Cette thèse porte sur l’étude comportementale de l’activité touristique en utilisant une approche d’analyse générique et interactive. Le processus d’analyse développé concerne la trajectoire touristique dans la ville et dans les musées en tant que terrain d’étude. Des expérimentations ont été menées pour collecter les données de déplacement dans la ville touristique en utilisant des signaux GPS, permettant ainsi l’obtention d’une trajectoire de déplacement. Toutefois, l’étude se focalise en premier lieu sur la reconstruction de la trajectoire d’un visiteur dans les musées à l’aide d’un équipement de positionnement intérieur, c’est-à-dire dans un environnement contraint. Ensuite, un modèle d’enrichissement sémantique multi-aspects générique est développé pour compléter la trajectoire d’un individu en utilisant plusieurs données de contexte telles que les noms des quartiers traversés par l’individu dans la ville, les salles des musées, la météo à l’extérieur et des données d’application mobile à l’intérieur. Les trajectoires enrichies, appelées trajectoires sémantiques, sont ensuite analysées à l’aide de l’analyse formelle de concept et de la plateforme GALACTIC, qui permet l’analyse de structures de données complexes et hétérogènes sous la forme d’une hiérarchie de sous-groupes d’individus partageant des comportements communs. Enfin, l’attention est portée sur l’algorithme "ReducedContextCompletion" qui permet la navigation interactive dans un treillis de concepts, ce qui permet à l’analyste de données de se concentrer sur les aspects de la donnée qu’il souhaite explorer
This 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

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Книги з теми "Musée intelligent"

Gelernter, David. The muse in the machine: Computers and creative thought. London: Fourth Estate, 1994.

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Gelernter, David. The muse in the machine: Computerizing the poetry of human thought. New York: Free Press, 1994.

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Alvin, Chin, Helic Denis, Hotho Andreas, and SpringerLink (Online service), eds. 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.

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Atzmueller, 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.

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Gelernter, David. The Muse in the Machine. HarperCollins Publishers, 1997.

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Gelernter, David. Muse in the machine: Computers and creative thought. Fourth Estate, 1995.

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Gelernter, David. Muse in the Machine: Computerizing the Poetry of Human Thought. Free Press, 2010.

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Gelernter, David. The Muse in the Machine: Computerizing the Poetry of Human Thought. Free Press, 2002.

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Atzmueller, Martin, Alvin Chin, Andreas Hotho, and 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.

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Atzmueller, Martin, Alvin Chin, and 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.

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Частини книг з теми "Musée intelligent"

Fischnaller, Franz. "New Media Exhibit at the Musée des Civilisations de L’Europe et de la Méditerranée." In 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.

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Carthen, Chase D., Richard Kelley, Cris Ruggieri, Sergiu M. Dascalu, Justice Colby, and Frederick C. Harris. "MUSE: A Music Conducting Recognition System." In 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.

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Bozzano, Michele, Daniela Briola, Diego Leone, Angela Locoro, Lanfranco Marasso, and Viviana Mascardi. "MUSE: MUltilinguality and SEmantics for the Citizens of the World." In Intelligent Distributed Computing VI, 97–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32524-3_13.

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Simões, Delfim, Pedro Henriques Abreu, and Daniel Castro Silva. "MusE Central: A Data Aggregation System for Music Events." In 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.

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"6. Intelligent Design." In The Tainted Muse, 204–42. Yale University Press, 2017. http://dx.doi.org/10.12987/9780300155457-007.

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Srivastava, S. "Applications of Artificial Intelligence in Polymer Manufacturing." In Materials Research Foundations, 105–22. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902530-5.

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Artificial Intelligence (AI) is creating an everlasting impact on science and benefiting in realizing new and revolutionary sustainable materials. The field of manufacturing polymers has witnessed more exponential growth than ever, and the credit entirely goes to the novel artificially intelligent machine learning strategies. Artificial Intelligence is progressing in the interdisciplinary field of improving the lifestyle and attaining sustainable development goals (SDGs). It may be transforming applications ranging from new materials to personalized medicine and precise sensor developments. Polymer informatics is an interdisciplinary field of research converging polymer science with computer science, information science, and machine learning, serving as a muse to transform the field of polymer manufacturing altogether. With the tremendous upsurge of data in science, data-driven strategies are being utilized in polymer informatics for better and more efficient development, design, and discovery of polymers. We have attempted to discuss the application of artificial intelligence in different sectors such as polymeric designing, the food industry, healthcare, cosmetics, and agricultural sustainable productivity.

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"4. The Evolution of Evolution: Genes, Memes, Intelligent Design, and Nabokov." In The Superstitious Muse, 127–48. Academic Studies Press, 2019. http://dx.doi.org/10.1515/9781618116789-006.

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Head, Tom. "A COSMIC MUSE." In Series in Machine Perception and Artificial Intelligence, 155–59. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773036_0010.

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Lyons, Sara. "Acting Clever in Henry James." In Assessing Intelligence, 157–86. Edinburgh University Press, 2022. http://dx.doi.org/10.3366/edinburgh/9781474497664.003.0004.

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Анотація:

The chapter reads James’s The Tragic Muse (1890)as an intervention in the late nineteenth-century reification of ‘intelligence’ as a singular, mainly innate, and testable phenomenon – in other words, in the emergence of the IQ concept. It highlights how the novel asks us to assess the creative potential and professional ambitions of two protagonists across divides of gender, class, and race. It reads James’s novel as an effort to expose the extent to which aristocratic ideals haunt apparently modern conceptions of talent and merit. It also argues that the novel’s comedy hinges on James’s recognition that intelligence is not a fixed essence but an unstable social performance.

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Тези доповідей конференцій з теми "Musée intelligent"

Wu, Xiaodong, Miguel Abrahantes, and Mark Edgington. "MUSSE: A designed multi-ultrasonic-sensor system for echolocation on multiple robots." In 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2016. http://dx.doi.org/10.1109/acirs.2016.7556192.

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Hanten, Richard, Cornelia Schulz, Adrian Zwiener, and Andreas Zell. "MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods." In 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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