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Статті в журналах з теми "Intelligence artificielle – Information"
Le Serrec, Annaïch. "Terminologie et intelligence artificielle." Terminology 14, no. 2 (December 12, 2008): 277–82. http://dx.doi.org/10.1075/term.14.2.14ser.
Повний текст джерелаAlaoui, Siham. "Artificial intelligence and records management: what gains? What stakes?" Canadian Journal of Information and Library Science 46, no. 2 (January 10, 2024): 1–20. http://dx.doi.org/10.5206/cjils-rcsib.v46i2.16695.
Повний текст джерелаPardé, Mickaël, Laure Raynaud, and Arnaud Mounier. "La prévision à moyenne échéance de la tempête Ciaràn par intelligence artificielle." La Météorologie, no. 125 (2024): 036. http://dx.doi.org/10.37053/lameteorologie-2024-0034.
Повний текст джерелаBaneyx, Audrey, and Véronique Malaisé. "Terminologie et intelligence artificielle (TIA 2005), University of Rouen, Rouen (France), 4–5 April, 2005." Terminology 11, no. 2 (December 5, 2005): 365–69. http://dx.doi.org/10.1075/term.11.2.18ban.
Повний текст джерелаGUERCHOUH, Lydia, and Mehmet Hakkı Suçin. "Impact de l’intelligence artificielle (la traduction automatique) dans l’apprentissage des langues : cas du Tamazight." ALTRALANG Journal 6, no. 1 (June 30, 2024): 227–35. http://dx.doi.org/10.52919/altralang.v6i1.419.
Повний текст джерелаSusca, Vincenzo. "Le nouveau paradis artificiel." Sociétés 163, no. 1 (April 15, 2024): 85–98. http://dx.doi.org/10.3917/soc.163.0085.
Повний текст джерелаPetitpas, Laurent, and Alain Béry. "L’Orthodontie Interceptive expliquée aux patients par les Intelligences Artificielles (IA) conversationnelles." Revue d'Orthopédie Dento-Faciale 58, no. 1 (February 12, 2024): 106–21. http://dx.doi.org/10.1051/odf/2024011.
Повний текст джерелаMarcoux, Audrey, Marie-Hélène Tessier, Frédéric Grondin, Laetitia Reduron, and Philip L. Jackson. "Perspectives fondamentale, clinique et sociétale de l’utilisation des personnages virtuels en santé mentale." Santé mentale au Québec 46, no. 1 (September 21, 2021): 35–70. http://dx.doi.org/10.7202/1081509ar.
Повний текст джерелаPIECHOWIAK, Sylvain. "Intelligence artificielle et diagnostic." Technologies logicielles Architectures des systèmes, December 2003. http://dx.doi.org/10.51257/a-v1-s7217.
Повний текст джерелаGENTIL, Sylviane. "Intelligence artificielle appliquée à l''automatique." Automatique et ingénierie système, December 1997. http://dx.doi.org/10.51257/a-v2-r7215.
Повний текст джерелаДисертації з теми "Intelligence artificielle – Information"
Vittaut, Jean-Noël. "LeJoueur : un programme de General Game Playing pour les jeux à information incomplète et-ou imparfaite." Thesis, Paris 8, 2017. http://www.theses.fr/2017PA080102.
Повний текст джерелаThis thesis is a contribution to the General Game Playing domain (GGP), a problematic of Artificial Intelligence (AI) aiming at developing autonomous agents that are able to play at a large variety of games called General Games. GGP is different from search algorithms allowing to play with a good level at specific games and opens the possibility to evaluate the efficiency of AI methods without prior knowledge form experts. An important aspect of our work lies on the utilization of an implicit game tree representation as a set of logic rules, an explicit representation being too large to be stored in memory. In this context, we have proposed an efficient method of rule instantiation allowing the computation of a logic circuit. A parallelization of the circuit evaluation allowed us to significantly accelerate the game tree exploration. We have proposed an adaptation of Monte-Carlo Tree Search for GGP and a method using RAVE (Rapid Action Value Estimation) in the beginning of the exploration when few estimations are available
Renoux, Jennifer. "Contribution to multiagent planning for active information gathering." Caen, 2015. https://hal.archives-ouvertes.fr/tel-01206920.
Повний текст джерелаIn this thesis, we address the problem of performing event exploration. We define event exploration as the process of exploring a topologically known environment to gather information about dynamic events in this environment. Multiagent systems are commonly used for information gathering applications, but bring important challenges such as coordination and communication. This thesis proposes a new fully decentralized model of multiagent planning for information gathering. In this model, called MAPING, the agents use an extended belief state that contains not only their own beliefs but also approximations of other agents' beliefs. With this extended belief state they are able to quantify the relevance of a piece of information for themselves but also for others. They can then decide to explore a specific area or to communicate a specific piece of information according to the action that brings the most information to the system in its totality. The major drawback of this model is its complexity: the size of the belief states space increases exponentially with the number of agents and the size of the environment. To overcome this issue, we also suggest a solving algorithm that uses the well-known adopted assumption of variable independence. Finally we consider the fact that event exploration is usually an open-ended problem. Therefore the agents need to check again their beliefs even after they reached a good belief state. We suggest a smoothing function that enables the agents to forget gradually old observations that can be obsolete
Ebadat, Ali Reza. "Toward robust information extraction models for multimedia documents." Rennes, INSA, 2012. http://www.theses.fr/2012ISAR0022.
Повний текст джерелаDue to the huge amounts of multimedia documents that have been generated, researchers studied approaches to manage them. Our goal is to facilitate this process by extracting information from any text related to such documents. Moreover, we want techniques robust enough to handle noisy and small data. We use simple and nowledge-light techniques as a guarantee of robustness. Indeed, we use statistical analysis of text and some techniques inspired from Information Retrieval. In this thesis, we experimentally show that simple techniques without a priori knowledge can be useful to effectively extract information from text. In our case, such results have indeed been achieved by choosing suited representation for the data instead of requiring complex processings
Aboudib, Ala. "Neuro-inspired Architectures for the Acquisition and Processing of Visual Information." Thesis, Télécom Bretagne, 2016. http://www.theses.fr/2016TELB0419/document.
Повний текст джерелаComputer vision and machine learning are two hot research topics that have witnessed major breakthroughs in recent years. Much of the advances in these domains have been the fruits of many years of research on the visual cortex and brain function. In this thesis, we focus on designing neuro-inspired architectures for processing information along three different stages of the visual cortex. At the lowest stage, we propose a neural model for the acquisition of visual signals. This model is adapted to emulating eye movements and is closely inspired by the function and the architecture of the retina and early layers of the ventral stream. On the highest stage, we address the memory problem. We focus on an existing neuro-inspired associative memory model called the Sparse Clustered Network. We propose a new information retrieval algorithm that offers more flexibility and a better performance over existing ones. Furthermore, we suggest a generic formulation within which all existing retrieval algorithms can fit. It can also be used to guide the design of new retrieval approaches in a modular fashion. On the intermediate stage, we propose a new way for dealing with the image feature correspondence problem using a neural network model. This model deploys the structure of Sparse Clustered Networks, and offers a gain in matching performance over state-of-the-art, and provides a useful insight on how neuro-inspired architectures can serve as a substrate for implementing various vision tasks
Roussel, Stéphanie. "Apports de la logique mathématique pour la modélisation de l'information échangée dans des systèmes multiagents interactifs." Toulouse, ISAE, 2010. http://www.theses.fr/2010ESAE0012.
Повний текст джерелаRybnik, Mariusz. "Contribution to the modelling and the exploitation of hybrid multiple neural networks systems : application to intelligent processing of information." Paris 12, 2004. https://athena.u-pec.fr/primo-explore/search?query=any,exact,990003948290204611&vid=upec.
Повний текст джерелаFor a great number of actually encountered problems (complex processes modelization, pattern recognition, medical diagnosis support, fault detection) data is presented in form of database. The data is next transformed and processed. This work is concentrated on the development of semi-automatic data processing structures. Proposed approach is based on iterative decomposition of an initial problem. The main idea is to decompose initia!ly complex problems in order to obtain simplification simultaneously on structural level and processing level. Thus, the principal idea of present work is con nected to task decomposition techniques called "Divide to Conquer". A key point of our approach is the integration of Complexity Estimation techniques
Rybnik, Mariusz Madani Kurosh. "Contribution to the modelling and the exploitation of hybrid multiple neural networks systems application to intelligent processing of information /." Créteil : Université de Paris-Val-de-Marne, 2007. http://doxa.scd.univ-paris12.fr:8080/theses-npd/th0394829.htm.
Повний текст джерелаVersion électronique uniquement consultable au sein de l'Université Paris 12 (Intranet). Titre provenant de l'écran-titre. Bibliogr. : 116 réf.
Yameogo, Relwende Aristide. "Risques et perspectives du big data et de l'intelligence artificielle : approche éthique et épistémologique." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMLH10.
Повний текст джерелаIn the 21st century, the use of big data and AI in the field of health has gradually expanded, although it is accompanied by problems linked to the emergence of practices based on the use of digital traces. The aim of this thesis is to evaluate the use of big data and AI in medical practice, to discover the processes generated by digital tools in the field of health and to highlight the ethical problems they pose.The use of ICTs in medical practice is mainly based on the use of EHR, prescription software and connected objects. These uses raise many problems for physicians who are aware of the risk involved in protecting patients' health data. In this work, we are implementing a method for designing CDSS, the temporal fuzzy vector space. This method allows us to model a new clinical diagnostic score for pulmonary embolism. Through the "Human-trace" paradigm, our research allows us not only to measure the limitation in the use of ICT, but also to highlight the interpretative biases due to the delinking between the individual caught in his complexity as a "Human-trace" and the data circulating about him via digital traces. If big data, coupled with AI can play a major role in the implementation of CDSS, it cannot be limited to this field. We are also studying how to set up big data and AI development processes that respect the deontological and medical ethics rules associated with the appropriation of ICTs by the actors of the health system
Amo, Sandra De. "Contraintes dynamiques et schémas transactionnels." Paris 13, 1995. http://www.theses.fr/1995PA132002.
Повний текст джерелаBayatani, Mohsen. "De la cybernétique aux sciences de la cognition." Lyon 3, 2007. http://www.theses.fr/2007LYO31005.
Повний текст джерелаContrary to what has often been said, cognitive sciences are only secondarily linked to the recent amazing boom of computer technology. They first appeared in the United States along with the cybernetic movement in the 40's. The main objective of this movement was to create a general science of the brain and to build a mind neurology. It finally reaches its goal in 1956 by creating the cognitive sciences, which account for the new brain sciences. In this essay we have highlighted the fact that in living systems, the “relation life” is associated with the “emotional life” which allows the living to identify and recognize real objects through the feelings they generate, hence the adaptative advantages conscient cognition brings to the organism. Therefore contrary to symbolic representation used in computers, conscient representation has a emotional dimension. That is to say that the human thought is not a simple calculation and that the mind cannot be reduced to a small number of logical operations. Then we tried to close in on the philosophical implications of the cybernetic analysis of the living system. Here the living being is considered as a system of communication in its relationship whit the environment and the other organisms. Therefore, the vital phenomenons, such as thought and intelligence are explained cyberneticaly and through the transmission of the sensory information in the neural circuits. Thereby, a new conception of the living and of life is installing and opposes itself to traditional philosophers
Книги з теми "Intelligence artificielle – Information"
Danièle, Bourcier, Hassett Patricia, and Roquilly Christophe, eds. Droit et intelligence artificielle: Une révolution de la connaissance juridique. Paris: Romillat, 2000.
Знайти повний текст джерелаReichgelt, Han. Knowledge representation: An AI perspective. Norwood, N.J: Ablex Pub. Corp., 1991.
Знайти повний текст джерелаN, Kanal Laveen, and Lemmer John F, eds. Uncertainty in artificial intelligence. Amsterdam: North-Holland, 1986.
Знайти повний текст джерелаHancox, Peter J. Keyguide to information sources in artificial intelligence/expert systems. London: Mansell, 1990.
Знайти повний текст джерелаIan, Smith, ed. Artificial intelligence in structural engineering: Information technology for design, collaboration, maintenance, and monitoring. Berlin: Springer, 1998.
Знайти повний текст джерелаFloyd, Cooper Gregory, Moral Serafín 1952-, Shenoy P. P, and Conference on Uncertainty in Artificial Intelligence (14th : 1998 : Madison, Wisconsin), eds. Uncertainty in artificial intelligence: Proceedings of the Fourteenth Conference (1998), July 24-26, 1998, University of Wisconsin, Madison, Wisconsin, USA. San Francisco, Calif: Morgan Kaufmann Publishers, 1998.
Знайти повний текст джерела1944-, Lauer Thomas Wesley, Peacock Eileen, and Graesser Arthur C, eds. Questions and information systems. Hillsdale, N.J: L. Erlbaum, 1992.
Знайти повний текст джерелаInternational Conference on Systems Research, Informatics and Cybernetics (15th 2003 Baden-Baden, Germany). Information systems research and management cybernetics. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2003.
Знайти повний текст джерелаGeorge, F. H. Artificial intelligence: Its philosophy and neural context. New York: Gordon and Breach, 1986.
Знайти повний текст джерела1957-, Clark Andy, and Toribio Josefa, eds. Machine intelligence: Perspectives on the computational model. New York: Garland Pub., 1998.
Знайти повний текст джерелаТези доповідей конференцій з теми "Intelligence artificielle – Information"
Gräßler, Iris, and Alena Tušek. "Case study on the software-supported development of competences in Scenario-Technique." In 6th International Conference on Human Systems Engineering and Design Future Trends and Applications (IHSED 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005548.
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