Dissertations / Theses on the topic 'Intelligence artificielle'
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Tina, Yvan calvin. "Les théâtres artificiels : mise en scène, biotechnologie, intelligence artificielle." Thesis, Aix-Marseille, 2018. http://theses.univ-amu.fr.lama.univ-amu.fr/180316_TINA_197j265t589t189bgt_TH.pdf.
Full textThe use of artificial intelligence and biotechnology in art has led to a radical reformulation of theater as living performance. These technoscientific practices have displaced the subject of performance and produced various new discourses: In this study, I propose to make use of these discourses to expand the frame of theatricality to the realm of artificial life art. The displacements operated by means of theatricality in the artistic field are taking place both on the level of the artworks and the level of discourse. In light of such operations, we see the potential of transformation relying on the use of these materials in theatrical aesthetics, as well as the obstacles found in them. Taking place between the arts and the technosciences, the study proves that the theatricality of technological works relies on the artifice of language
Lodter, Christiane. "Intelligence artificielle en orthodontie (ODONTEL*)." Toulouse 3, 1990. http://www.theses.fr/1990TOU30206.
Full textBessière, Christian. "Systèmes à contraintes évolutifs en intelligence artificielle." Montpellier 2, 1992. http://www.theses.fr/1992MON20166.
Full textMachrouh, Joseph. "Perception attentive et vision en intelligence artificielle." Paris 11, 2002. http://www.theses.fr/2002PA112301.
Full textThe work presented in this thesis deals with the development of software agents endowed with perceptive capacities. To provide such a system with exploratory capacities supposes the determination of interest points in the scene. In order to be able to move in the image, one will distinguish a low-resolution wide field processing and a high resolution focal processing. One thus separates the exploration phase associated to the search of interest points from the exploitation phase associated to recognition recognition. The selected points consist of energy maxima computed using wavelet filters covering a range of orientations and frequencies. The low frequencies are used to determine the peripheral saliency. Principal Component Analysis (PCA) projection system was computed from a representative sample of natural scenes. This system was used to categorize the interest points of an unspecified scene. The system thus can use several points of view to guide its attentionnal mechanisms. The energy of these interest points according to various orientations and space frequencies is then used to index them. We showed that the low frequency components of this indexed representation are sufficient to bias the saliency of the scene in favor of targets similar to the representations memorized. They are also sufficiently robust to preserve this property in a video sequence subject to strong contrast variations. We showed as well that interest points based on a multi-scale frequency analysis can be used to control exploratory saccades by using a bottom-up mechanism; the low frequency part of such a representation can be used to control the saccades required to attain the target in a top-down way
Cornu, Philippe. "Logiques et sciences cognitives en intelligence artificielle." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37604052k.
Full textHelft, Nicolas. "L'Induction en intelligence artificielle théorie et algorithmes /." Grenoble 2 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb376141929.
Full textAlliche, Abderrahmane Redha. "Contrôle du réseau cloud basé intelligence artificielle." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4022.
Full textThe exponential growth of Internet traffic in recent decades has prompted the emergence of Content Delivery Networks (CDNs) as a solution for managing high traffic volumes through data caching in cloud servers located near end-users. However, challenges persist, particularly for non-cacheable services, necessitating the use of cloud overlay networks. Due to a lack of knowledge about the underlay network, cloud overlay networks introduce complexities such as Triangle inequality violations (TIV) and dynamic traffic routing challenges.Leveraging the Software Defined Networks (SDN) paradigm, Deep Reinforcement Learning (DRL) techniques offer the possibility to exploit collected data to better adapt to network changes. Furthermore, the increase of cloud edge servers presents scalability challenges, motivating the exploration of Multi-Agent DRL (MA-DRL) solutions. Despite its suitability for the distributed packet routing problem in cloud overlay networks, MA-DRL faces non-addressed challenges such as the need for realistic network simulators, handling communication overhead, and addressing the multi-objective nature of the routing problem.This Ph.D. thesis delves into the realm of distributed Multi-Agent Deep Reinforcement Learning (MA-DRL) methods, specifically targeting the Distributed Packet Routing problem in cloud overlay networks. Throughout the thesis, we address these challenges by developing realistic network simulators, studying communication overhead in the non-overlay general setting, and proposing a distributed MA-DRL framework tailored to cloud overlay networks, focusing on communication overhead, convergence, and model stability
Espinoza, Lara Pablo. "Détection de signaux sismologiques par intelligence artificielle." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5083.
Full textEarthquake Early Warning Systems (EEWS) are designed to provide alerts before the most damaging seismic waves of an earthquake reach populated areas, giving people precious seconds to take protective actions. However, traditional EEWS rely heavily on dense seismic networks and often face challenges in rapidly detecting earthquakes in regions with limited infrastructure or fewer stations. In response to these limitations, and in order to provide faster warning even in well-instrumented areas, we design an AI-based algorithm, coined E3WS for Ensemble Earthquake Early Warning System, which detects earthquakes and estimate their magnitude and location using 3 seconds of data recorded on a single station. This design not only improves the time response but also enables E3WS to operate effectively in areas with fewer stations, making it a flexible solution that can be applied not only in the studied regions but also globally, enhancing early warning capabilities in diverse tectonic settings. We install E3WS as the core algorithm of the Peruvian EEWS (SASPe for Sistema de Alerta Sísmica Perúano), providing timely alerts for subduction earthquakes along the coast and benefiting more than 18 million Peruvians. SASPe operates through a network of 111 stations, where E3WS is independently implemented. Beyond Peru, we use E3WS to forecast aftershocks in Haiti, to detect seismic swarms in Ecuador, and to study a foreshock sequence leading up to a major earthquake that occurred in Arequipa, Peru
Guérin, Marianne Penit. "Intelligence artificielle et électrophysiologie sensorielle oculaire : Pantops PC." Clermont-Ferrand 1, 1987. http://www.theses.fr/1987CLF11037.
Full textEl, Alam Iyad. "Management des compétences : nouvelles technologies et intelligence artificielle." Aix-Marseille 3, 2007. http://www.theses.fr/2007AIX32077.
Full textThe study focuses on the systemic and mathematical modelisation of the skills adjustment problems, both in the classical approaches of operational research models and in new viewpoints stemming from neural networks and artificial intelligence. This modelisation is conducted within the framework of a decision support system of evaluation and skills match through the contribution of the modelisation of micro- and macro-competencies. The context of artificial intelligence will be that of multilayer neural networks, and of the so-called Fuzzy ART, with the aim of proposing a system which we have called CRMM (Competencies Research Matching Model). The system will be implemented in large-sized organizations in need of large numbers of personnel subject to frequent post changes. The assumption on which this study is based tends to demonstrate the possibility to improve the decision-making of human resources or operational managers through a better exploitation of competency-related data. This factor should obviously be placed at the core of new strategic problematics linked to competencies and training
Pouget, Jonathan. "La réparation du dommage impliquant une intelligence artificielle." Thesis, Aix-Marseille, 2019. http://theses.univ-amu.fr.lama.univ-amu.fr/191212_POUGET_871qcngtj900zlfid640gfeuf393zytl_TH.pdf.
Full textDo the current tort law and insurance law allow an adequate compensation for the damage caused, directly or indirectly, by anartificial intelligence? Firstly, this thesis demonstrates that tort law and insurance law need to be interprated. Secondly, it demonstrates that a part of tort law and insurance contracts have to evolve. The track of a legal personhood with supervised functions and attributable to artificial intelligences will also be studied for these purposes
Le, Gauffre Pascal. "Méthodologie de conception et intelligence artificielle en bâtiment." Lyon, INSA, 1988. http://www.theses.fr/1988ISAL0045.
Full textResearch on Computer Aided Design requires a double conceptual base. On the one hand, we have to represent what is the design process, on the other hand we have to define the possible and desirable contributions of the computer in this design process. The works presented deal with Computer Aided Building Design and the contribution of Artificial Intelligence techniques. The first part of this report is dedicated to the study of conceptual bases for Computer Aided Building Design and refers to Information Processing System theory as well as to systems modelisation. The design process is regarded as a modelling activity and as a problem setting (and solving). Process. The contribution of Artificial Intelligence techniques is therefore considered for the representation of the different expert considerations on the building project and for the construction and the resolution of problems. In the second part of the report we present a prototype of an expert system, called DEDALE, dedicated to the four following tasks : 1- Modelisation of the building project, 2- Selection of a strategy for modifications, 3- Construction of a restricted multi criteria problem (according to the strategy), 4- Management of the resolution process. Finally, a third part is devoted to a presentation of an experiment of the DEDALE system, and to a presentation of future prospects of this tool and of the approach used to elaborate it
Helft, Nicolas. "L' Induction en intelligence artificielle : théorie et algorithmes." Aix-Marseille 2, 1988. http://www.theses.fr/1988AIX22044.
Full textRibas, Santos Eduardo. "Contribution au diagnostic qualitatif des procédés en intelligence artificielle." Vandoeuvre-les-Nancy, INPL, 1996. http://docnum.univ-lorraine.fr/public/INPL_T_1996_RIBAS_SANTOS_E.pdf.
Full textRaddaoui, Badran. "Contributions aux approches logiques de l'argumentation en intelligence artificielle." Thesis, Artois, 2013. http://www.theses.fr/2013ARTO0412/document.
Full textThis thesis focus on the field of argumentation models in artificial intelligence. These models form very popular tools to study reasoning under inconsistency in knowledge bases, negotiation between agents, and also in decision making. An argumentative model is an interactional process mainly based on the construction of arguments and counter-arguments, then studying the relations between these arguments, and finally the introduction of some criteria to identifying the status of each argument in order to select the (most) acceptable of them.In this context, this work was dealt with the study of a particular system: the deductive argumentation framework. An argument is then understood as a pair premises-conclusion such that conclusion is a logical formula entailed by premises, a non-ordered collection of logical formulas. We have addressed several issues. First of all, on the basis that reductio ad absurdum is valid in classical propositional logic, we propose a method to compute arguments for a given statement. This approach is extended to generate canonical undercuts, arguments identified as the representative of all counter-arguments. Contrary to the other approaches proposed in the literature, our technique is complete in the sense that all arguments relative to the statement at hand are generated and so are all relevant counter-arguments. Secondly, we proposed a logic based argumentation in conditional logic. Conditional logic is often regarded as an appealing setting for the formalization of hypothetical reasoning. Their conditional connective is often regarded as a very suitable connective to encode many implicative reasoning patterns real-life and attempts to avoid some pitfalls of material implication of propositional logic. This allows us to put in light and encompass a concept of conditional contrariety thats covers both usual inconsistency-based conflict and a specific form of conflict that often occurs in real-life argumentation: i.e., when an agent asserts an If then rule, it can be argued that the satisfaction of additional conditions are required for the conclusion of a rule to hold. Then, in that case we study the main foundational concepts of an argumentation theory in conditional logic. Finally, the last point investigated in this work concerns the reasoning about bounded resources, within a framework in which logical formulas are themselves consumed in the deductive process. First, a simple variant of Boolean logic is introduced, allowing us to reason about consuming resources. Then, the main concepts of logic-based argumentation are revisited in this framework
Pistilli, Giada. "Pour une éthique de l'intelligence artificielle conversationnelle." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUL038.
Full textThis research aims to probe the ethical intricacies of conversational Artificial Intelligence (AI), specifically focusing on Large Language Models and conversational agents. This manuscript constructs a framework that melds empirical analysis with philosophical discourse. We aim to urgently advocate for a well-founded ethical structure for conversational AI, highlighting the necessity to involve all stakeholders, from developers to end-users. Firstly, we champion the integration of engineering and other scientific disciplines with philosophy, facilitating a more nuanced understanding of the ethical dimensions underpinning AI. This collaborative approach allows for a richer, more informed ethical discourse. Secondly, we advocate for the dynamic use of applied ethical frameworks as foundational guides for setting the initial objectives of an AI system. These frameworks serve as evolving tools that adapt to the ethical complexities encountered during development and deployment. Lastly, grounded in hands-on, interdisciplinary research, we make an argument for the prioritization of narrow, task-specific AI over Artificial General Intelligence, a stance that is based on the enhanced feasibility of ethical oversight and technical controllability.With this research, we aim to contribute to the literature on AI ethics, enriching the academic discourse in both philosophy and computer science
Souza, Marco Antonio Lucas de. "Intelligence artificielle et philosophie : les critiques de H. L. Dreyfus et J. Searle à l'intelligence artificielle." Thèse, Université du Québec à Trois-Rivières, 1992. http://depot-e.uqtr.ca/5367/1/000597800.pdf.
Full textKerinska, Nikoleta. "Art et intelligence artificielle : dans le contexte d'une expérimentation artistique." Thesis, Paris 1, 2014. http://www.theses.fr/2014PA010541/document.
Full textThis thesis finds its origins in the way we are making art, and it is marked by our unflagging interest in the relationship between art and digital technology. Its primary idea consists in examining the possibilities offered by artificial intelligence in the context of art. The hypothesis of this study suggests that artworks endowed with artificial intelligence present a type of problematic that is common and identifiable in the general landscape of computer works of art. Our aim is to understand how the notion of intelligence is evoked by the behavior of certain artworks, and in what way current art productions are enriched from a conceptual and formal point of view, by techniques of artificial intelligence. At first we propose a study about the computer art main definitions and current trends. Next, we develop a definition of artworks endowed with artificial intelligence. Then, we present our artistic projects and their respective problematic. As part of this dissertation we have developed two projects that engage in an artistic reflection on natural language as a interface of the communication between man and machine, as well as on the notion of automaton and intelligent agents in the context of computer art
Sofiane, Ahcène. "Contributions aux techniques de fusion de connaissances en intelligence artificielle." Artois, 2003. http://www.theses.fr/2003ARTO0408.
Full textTschirhart, Fabien. "Intelligence artificielle pour la psychologie des foules en animation interactive." Paris 8, 2013. http://octaviana.fr/document/181584794#?c=0&m=0&s=0&cv=0.
Full textWe are studying a way to simulate crowds for virtual environments such as used in the cinema, video games or any interactive numeric art. Depending on the context it is evolving with, crowd will adopt different behaviors: most of the time, they are simply ambulant, but they can be waiting or show hostility or violence, be expressive or spectating, or in an emergency situation, get into panic and flee. Main tools for the crowd simulation belong to two model categories. The first one use a macroscopic approach: matching the behavior of a crowd with a fluid or a gas it generalizes the attitude of its individual members on the basis of formulas from fluid mechanics. While the macroscopic approach ignores any of the constraint linked to individual’s behavior, the microscopic approach, working exclusively upon individuals, neglect a part of the crowd phenomenon. The main idea of our study lay on the principle that once immersed in a crowd, an individual behavior will become totally different from the one he had while isolated from it. This theory hold upon observations and assumptions made by social and crowd psychology studies, they conclude that an individual adapt its behavior to the norms and rules of the rules he belongs to. The model we are suggesting, the Scale Based Model, is using a scale concept where each different scale corresponds to a specific set of social-behavioral norms that are used to adapt the behavior of each individual. This whole new approach allows crowds with a way more realistic behavior that can be used into interactive arts
Napoli, Amedeo. "Représentations à objets et raisonnement par classification en intelligence artificielle." Nancy 1, 1992. http://www.theses.fr/1992NAN10012.
Full textCharroppin, Rémi. "Contribution à l'élaboration d'une méthodologie de conception en intelligence artificielle." Aix-Marseille 3, 1989. http://www.theses.fr/1989AIX30073.
Full textNapoli, Amedeo Haton Jean-Paul. "Représentations à objets et raisonnement par classification en intelligence artificielle /." [S.l.] : [s.n.], 1992. http://www.scd.uhp/docnum/SCD_T_1992_0012_NAPOLI.pdf.
Full textMarquis, Pierre. "Contribution à l'étude des méthodes de construction d'hypothèses en intelligence artificielle." Nancy 1, 1991. http://www.theses.fr/1991NAN10031.
Full textVion, Eric. "Un atelier de construction de tuteurs intelligents pour la formation des operateurs en milieu industriel : le projet consol." Nancy 1, 1991. http://www.theses.fr/1991NAN10410.
Full textFarcis, Louis. "Cellule MRAM neuromorphique pour l'Intelligence Artificielle." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT015.
Full textThe rapid evolution of the society in term computational needs tends to target application that were once human exclusive. Development of deep learning algorithm made possible overpassing some capabilities in the task the human brain were performing the best as for instance image and speech recognition, decision making and optimization problems. However, The Artificial Neural Networks (ANNs) capable of solving these tasks use intensively massive amount of data and requires multiple operations at the same time. When running ANN algorithms in a classical Von Neumann architecture where the computing unit is separated by the memory, latency and high energy consumption starts to rise exponentially with the size of the emulated neural network. From this observation, the scientific community starts looking at brain inspired computing sheme to overcome the current limitation. In particular, spiking neural networks (SNNs) were early predicted by W. Maass in 1997 to be a suitable candidate to leverage the sparsity of the network while showing egal if not better results than the first generations of ANN. Up until now, some Application Specific Integrated Circuits (ASICs) were proposed by company such as Intel and IBM to emulate SNN with CMOS-based based technology. The number of transistors needed to accomplish some critical functionality like spiking neurons in these solution is still very large and not suitable for downscaling strategies. In this context, new hardware solutions were proposed to emulate the synaptic and neuronal features while reducing the footprint and the energy consumption. In particular, various types of nano-synapses based on emerging non-volatile memory (NVM) explored multi-level synaptic weights and short-term/long-term memory. Among them, the spintronic solutions are the most advanced in maturity compared to the other technology because magnetic-random-access-memory technology, which represents a binary synapse, has already reached the market for ten years. However, a spiking neuron compatible with spintronic-based synapse is still missing in the literature.The thesis takes place in this context of developing new solutions with spintronics in order to emulate spiking neurons. Magnetic tunnel Junctions (MTJs) have been widely used in spintronics as memory unit because of their high endurance while demonstrating relatively small energy for writing and reading operation and are BEOL CMOS compatible. The solution elaborate along the manuscript takes all the benefits of the MTJs to design a spiking neurons based on the windmill dynamics.The dual-free layer MTJ concept is modelled, designed, nano-patterned and electrically characterized to give a constructive outlook on how viable is this structure for emulation spiking neuron
Merabet, Samir. "Vers un droit de l'intelligence artificielle." Electronic Thesis or Diss., Aix-Marseille, 2018. https://buadistant.univ-angers.fr/login?url=https://bibliotheque.lefebvre-dalloz.fr/secure/isbn/9782247201235.
Full textEven if its appearance is recent among technological inventions history, artificial intelligence has nevertheless quickly established itself, disrupting economy and the job market. Yet, upon assessment, it seems that these two forms of intelligence cannot be regarded as equivalent. Even if artificial intelligence borrows some aspects of human intelligence, many others are missing. Conscience, reason and emotions are unknown to machines, even intelligent ones. Yet, law rests upon such qualities. Hence, applying rules created for human to intelligent computer systems may be inappropriate. Indeed, the confrontation between law and artificial intelligence reveals the existence of a paradigm on which positive law is based. To a large extent, French law relies on the subjectivity proper to humans. All branches of law appear to be concerned, civil law as well as criminal law or intellectual property law. Therefore, the legal regime of artificial intelligence seems very uncertain. Consequently, the purpose of this study is to clear up the doubts surrounding the nature of artificial intelligence in order to neatly distinguish it from human intelligence. Eventually, the acknowledgment of the fundamental difference opposing these two forms of intelligence should lead to the recognition of a new public order of humanity and the preservation of an exclusive field for human intelligence
Durand, Stéphane. "Représentation des points de vues multiples dans une situation d'urgence : une modélisation par organisations d'agents." Le Havre, 1999. http://www.theses.fr/1999LEHA0005.
Full textImbert, Jean-Louis. "Simplification des systèmes de contraintes numériques linéaires." Aix-Marseille 2, 1989. http://www.theses.fr/1989AIX22022.
Full textVenturini, Gilles. "Apprentissage adaptatif et apprentissage supervise par algorithme genetique." Paris 11, 1994. http://www.theses.fr/1994PA112016.
Full textMerabet, Samir. "Vers un droit de l'intelligence artificielle." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0528.
Full textEven if its appearance is recent among technological inventions history, artificial intelligence has nevertheless quickly established itself, disrupting economy and the job market. Yet, upon assessment, it seems that these two forms of intelligence cannot be regarded as equivalent. Even if artificial intelligence borrows some aspects of human intelligence, many others are missing. Conscience, reason and emotions are unknown to machines, even intelligent ones. Yet, law rests upon such qualities. Hence, applying rules created for human to intelligent computer systems may be inappropriate. Indeed, the confrontation between law and artificial intelligence reveals the existence of a paradigm on which positive law is based. To a large extent, French law relies on the subjectivity proper to humans. All branches of law appear to be concerned, civil law as well as criminal law or intellectual property law. Therefore, the legal regime of artificial intelligence seems very uncertain. Consequently, the purpose of this study is to clear up the doubts surrounding the nature of artificial intelligence in order to neatly distinguish it from human intelligence. Eventually, the acknowledgment of the fundamental difference opposing these two forms of intelligence should lead to the recognition of a new public order of humanity and the preservation of an exclusive field for human intelligence
Séguillon, Michel. "Simulation et intelligence artificielle dans le cadre des stratégies financières complexes." Aix-Marseille 3, 1992. http://www.theses.fr/1992AIX32014.
Full textIn this thesis the problem of defining the probabilities laws of complex financial strategies is studied. First an overview of the different classical financial elementary operations is given. Mathematical theorems are proposed which permit to define the resulting probabilities. Then the numerical aspect of the problem is considered and an efficial numerical method is proposed; a number of interesting examples are given which concerned the main different aspects of the problem. Extensions for futures researches are given at the end of the work
Papineau, Christelle. "Droit et intelligence artificielle : essai pour la reconnaissance du droit computationnel." Thesis, Paris 1, 2019. http://www.theses.fr/2019PA01D049.
Full textThe porosity between law and artificial intelligence is now sixty years old. This porosity, which was originally intended to enable computer scientists to improve the cognitive performances of their algorithms, thanks to the legal syllogism, quickly aroused, in return, the interest of jurists in computer science. They understood that they could take advantage of the opportunities offered by the automation of the law, thanks to new technologies. Thus, at the dawn of the 2020s, machine learning, one of the most recent disciplinary subfields of artificial intelligence, allows as much to improve the methods of application of the laws and sanctions than to calculate the citizens (predictive policing, predictive justice, but also access to legal information and justice, online). This deployment of machine learning, which operates as much in the common law countries as in the countries of civil law tradition, takes place mainly in a context of a legality, to the detriment of the rights of the scored citizens. North American lawyers have resolved this lack of legislative framework by using the technique of judge-made law. This technique, which has the advantage of its adaptability, at the same time to each situation of legislative gap, but also to the tendencies of the society and the times, will be mobilized again, in the future, when the next disciplinary subfields of artificial intelligence, including deep learning, will be deployed. The flexibility of the North American common lawyer system can serve as a model for the French system, to set up a legal framework regulating, today, machine learning and, tomorrow, the next disciplinary subfields of artificial intelligence. However, the casuistic dimension of the North American model should be adapted to the French system, proposing the use of alternative normativities and ethics as instruments equivalent to the flexibility of the judge-made law. This approach would make it possible to observe the legal issues that arise with each technological advance and to consider legal responses, in a context inclined to legislate once the whole set of technical and legal issues, such as these pose, has been seized. This method, which requires observing new technological phenomena through the prism of alternative normativities before legislating, should make it possible to guide and influence the legislative work of the French legislator to improve the effectiveness of the digital law in terms of protecting people scored by algorithms, deployed as much by administrations as by legaltech type companies
Hamburger, Jean. "Intelligence artificielle et geologie : interpretation geo-historique et diagnostic de ceonception." Paris 6, 1990. http://www.theses.fr/1990PA066533.
Full textVanhatalo, Tara. "Simulation en temps réel d'effets audio non-linéaires par intelligence artificielle." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0077.
Full textCertain products in the realm of music technology have uniquely desirable sonic characteristics that are often sought after by musicians. These characteristics are often due to the nonlinearities of their electronic circuits. We are concerned with preserving the sound of this gear through digital simulations and making them widely available to numerous musicians. This field of study has seen a large rise in the use of neural networks for the simulation in recent years. This work applies neural networks for the task. Particularly, we focus on real-time capable black-box methods for nonlinear effects modelling, with the guitarist in mind. We cover the current state-of-the-art and identify areas warranting improvement or study with a final goal of product development. A first step of identifying architectures capable of real-time processing in a streaming manner is followed by augmenting and improving these architectures and their training pipeline through a number of methods. These methods include continuous integration with unit testing, automatic hyperparameter optimisation, and the use of transfer learning. A real-time prototype utilising a custom C++ backend is created using these methods. A study in real-time anti-aliasing for black-box models is presented as it was found that these networks exhibit high amounts of aliasing distortion. Work on user control incorporation is also started for a comprehensive simulation of the analogue systems. This enables a full range of tone-shaping possibilities for the end user. The performance of the approaches presented is assessed both through objective and subjective evaluation. Finally, a number of possible directions for future work are also presented
Chutaux, Corina. "Art, littérature et Intelligence Artificielle. Sur le chemin de la dématérialisation." Electronic Thesis or Diss., Sorbonne université, 2025. http://www.theses.fr/2025SORUL021.
Full textWith the emergence of generative artificial intelligences, numerous concerns have shaken the fields of art and literature, potentially dividing the world into two diametrically opposed categories: technophobes and technophiles. This thesis aims to reconcile art, literature, and artificial intelligence by providing a state-of-the-art overview on these questions and by outlining avenues for interpreting algorithmic aesthetics and poetics. It specifically seeks to shed light on the different semantics of creativity. In the face of new realities, terms must be readjusted, recycled, or even reinterpreted. The artist and the writer are called to reconsider their achievements and reinvent themselves, as art history has demonstrated repeatedly, albeit in a less ambiguous manner during the paragone with photography. What does it mean to be an artist or a writer at the dawn of dematerialization? What contribution can artificial intelligence make to the fields of art and literature? How can these three seemingly disjointed domains be connected, and how can this breaking down of barriers become a strength within the creative ecosystem? What are the current limits of artificial intelligences hic et nunc but also the limits of human artists in the face of a crisis of representation, felt by art critics for over a century ?representation observed by art critics for over a century
Voyiatzis, Konstantinos. "Utilisation de l'intelligence artificielle pour les problèmes d'ordonnancement." Paris 9, 1987. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1987PA090102.
Full textThe present work concerns the scheduling of the products in a production system from "jobshop" type. This problem is a combinatorial problem and has an incompatible solution with the "real time" contraint. We demonstrate in which way this approach "artificial intelligence" can conduct to an acceptable scheduling in real time. The first chapter presents the structure of the artificial memory we use. The second one tells us an example of utilization on this approach. The appendix i remains the basis of production managment. The appendix ii gives us the basis of the automatic classification used in severals parts of this work. And the appendix iii, contains the software of simulation written in slam
Clampitt, Megan. "Indexation de l'état de santé des coraux par une approche basée sur l'intelligence artificielle." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ6019.
Full textCoral reefs are deteriorating at a startling rate and the development of fast and efficient monitoring schemas that attempt to evaluate coral health without only focusing on the absence or presence of disease or bleaching is essential. My Ph.D. research aims to combine the fields of Coral Biology, Computer Science, and Marine Conservation with the main question of my thesis being: how can artificial intelligence tools be used to assess coral health states from colony photographs? Since the assessment of individual coral colony health state remains poorly defined, our approach is to use AI tools to assess visual cues such as physically damaging conditions (boring organisms & predation), contact with other organisms (algae, sediment), and color changes that could correlate with health states. This was achieved by utilizing photographic data from the Tara Pacific Expedition to build the first version of AI machines capable of automatically recognizing these visual cues and then applying this tool to two types of field studies i). A longitudinal study set up in Moorea, French Polynesia aimed to investigate coral health as assessed by mortality/partial mortality events. ii). A comparative study between damaged, pristine, and restoration sites in Raja Ampat, Indonesia. The objective of these studies is to extract the visual cues that distinguish healthy from unhealthy corals. Thus, I was able to create an AI Model capable of automatically annotating coral colony photographs for visual cues relevant to the current health state of the colony
Levin, François. "L'intelligence artificielle au défi de ses critiques philosophiques." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX112.
Full textThe development of artificial intelligence has given rise to a number of critical discourses in the field of philosophy. These are dominated by two major paradigms: the Foucauldian paradigm, oriented towards the notions of "surveillance" and "security", and the Heideggerian paradigm, based on the concept of "calculation". The aim of this paper is first to clarify and restate the arguments of these two paradigms with respect to contemporary AI systems. The next step is to consider their epistemic limitations by showing that the novelty of AI systems lies in their ability to produce epistemic enlargement and decentering effects. Far from reducing reality to the same, computational technologies can give us access to a form of otherness, especially that which characterizes globalism in its non-human dimensions. The final part of the thesis draws the political consequences of these epistemological limits. Given the impossibility of the two critical paradigms to imagine new emancipatory arrangements with intelligent systems, it seems necessary to undo the Foucauldian-Heideggerian hold on the philosophy of contemporary technology in order to imagine, drawing on the thought of Deleuze and Guattari, new possible forms for AI systems. These could be based on the idea of an ecology of intelligences, which aims to undo the identity-based and anthropocentric logic that governs our relationship with AI systems, and to make the categories of otherness and strangeness the central concepts of a renewed politics of technology
Buche, Cédric Tisseau Jacques. "Un système tutoriel intelligent et adaptatif pour l'apprentissage de compétences en environnement virtuel de formation." [s.l.] : [s.n.], 2005. http://tel.ccsd.cnrs.fr/docs/00/05/23/77/PDF/rapportThese_CedricBuche.pdf.
Full textKyriazopoulos, Constantinos Greussay Patrick. "Une méthodologie cellulaire et multi-agents de conception architecturale évolutionniste An evolutionary supported multi agent system methodology for computer aided cellular architectural design] /." Saint-Denis : Université de Paris 8, 2009. http://www.bu.univ-paris8.fr/consult.php?url_these=theses/KyriazopoulosThese.pdf.
Full textRommel, Yves. "Apport de l'intelligence artificielle à l'aide à la décision multicritère." Paris 9, 1989. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1989PA090004.
Full textThe aim of this thesis is to show the contribution of artificial intelligence technics (AI) to multicriteria decision making. The AI technics which have been used concern knowledge representation technics in a declarative manner, deductive technics of problem resolution and also "inductive" technics of machine learning. Research has been developped into two opposite directions relatively to the modelisation approach as follows: -the first direction consists of defining how much AI contributes to the traditional multicriteria analysis frame i. E. We consider here the multicriteria problems using a scores table and according to the three operational approaches to the aggregation of preferences (synthesis criterion, outranking and interactive procedure); - the second direction consists of considering multicriteria methodology within the expert-system architecture and modelisation framework. This rests on the fact that expert-systems naturally deal with multicriteria problems
Laumônier, Julien. "Méthodes d'apprentissage de la coordination multiagent : application au transport intelligent." Doctoral thesis, Université Laval, 2008. http://hdl.handle.net/20.500.11794/20000.
Full textSpanoudakis, Nikolaos. "The agent systems engineering methodology (ASEME)." Paris 5, 2009. http://www.theses.fr/2009PA05S015.
Full textThis thesis presents on one hand the Agent Modeling Language (AMOLA) for modeling multi-agent systems and on the other hand the Agent Systems Engineering Methodology (ASEME) for developing multi-agent systems. AMOLA supports a modular agent design approach and introduces the concepts of intra-and inter-agent control. The first defines the agent's behavior by coordinating the different modules that implement his capabilities, while the latter defines the protocols that govern the coordination of the society of the agents. AMOLA deals with both the individual and societal aspect of the agents showing how protocols and capabilities can be integrated hi agents design. This is the first originality of this thesis, the fact that the inter-agent control model is defined using the same formalism with the intra-agent control model thus allowing the integration of inter-agent protocols in the agent's model as capabilities. ASEME applies a model driven engineering approach to multi-agent systems development, thus the models of a previous development phase are transformed to models of the next phase. This is the second originality of this thesis, the fact that different models are created for each development phase and the transition of one phase to another is assisted by automatic model transformations leading from requirements to computer programs. The ASEME Platform Independent Model (PIM) that is the output of the design phase is a statechart that can be instantiated hi a number of platforms
Juncker, Thibaud. "Droit de l'intelligence artificielle : essai d'une approche juridique du cognitivisme électronique." Electronic Thesis or Diss., Strasbourg, 2024. https://publication-theses.unistra.fr/restreint/theses_doctorat/2024/JUNCKER_Thibaud_2024_ED101.pdf.
Full textElectronical cognitivism can be understood as the current of thought according to which programming is already capable of generating cognitive processes such as intelligence. The aim of this thesis is to question the electronical cognitivism that is so prevalent in both scientific and doctrinal writings. Confronted with such enthusiasm, it sets out to demonstrate that applicable law already deals with programming and all its avatars (machines, robots, etc.) without difficulty. It then demonstrates that the hypothesis of electronic cognitive capacities should and can be demonstrated scientifically, on a case-by-case basis. Indeed, it should be scientifically demonstrated, as the existence of electronic cognitive processes would entail major paradigm shifts in law. Secondly, it can be demonstrated, since biology has long been dealing with cognitive phenomena. In general terms, the thesis calls for interdisciplinarity in the field of artificial intelligence law, and makes extensive use of it. Only by bringing together disciplines such as ethology, cognitive science and computer science can jurists escape the ghosts of their own imagination
Guichard, Frédéric. "La réorganisation dynamique dans les systèmes multi-agents." Chambéry, 1998. http://www.theses.fr/1996CHAMS031.
Full textJulen, Nathalie. "Eléments pour une université virtuelle en médecine : le projet CARDIOLAB." Rennes 1, 2002. http://www.theses.fr/2002REN1B063.
Full textBoucher, Jean-David. "Construction d'ontologie multimodale située." Grenoble INPG, 2009. http://www.theses.fr/2009INPG0129.
Full textThis thesis consists in realizing a program which allows a robot, via a fluid interaction with a user, to acquire new knowledge which can be reused. The adopted approach integrated the enaculation paradigm (autonomy, sense making, emergence, embodiment, subjective experience), intersubjective knowledge (or mutual knowledge), and the formalism of statistical models of induction. By programming by demonstration (PbD) and a kinaesthetic teaching, the user handles the robot and can teach it behavior (movements of legs, head etc. ) which can be synchronous or parallel, cyclic or acyclic. So, with a minimum of a priori structure, the system allows the emergence of symbols from the segmentation and the detection of regularities in streams of continuous sensori-motor data. Symbols or behaviors which the user labels and can be reused in future interactions
Benhamou, Philippe. "Contribution au développement du générateur de systèmes experts Alouette : une application en gestion des ressources humaines, MIRIAM." Paris 9, 1988. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1988PA090028.
Full textAlouette is an expert system building tool. It's working in forward chaining with a knowledge representation based on production rules in first order logic and semantical networks. First, we describe the knowledge representation language and the associed tools. Then, we show the data structures and the main algorithms used for unification. The second part of this report concerns the main expert systems built with Alouette. Amoung them, Miriam, expert system in human ressources management, graps the statitical facts relative to an enterprise and offers diverse services : a diagnostic gives a profile of the management style, a simulation program based on chaining procedures, the outline of a middle term plan
Rougegrez-Loriette, Sophie. "Prediction de processus a partir de comportements observes : le systeme rebecas." Paris 6, 1994. http://www.theses.fr/1994PA066690.
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