Relevant bibliographies by topics / Agents multimodaux

Academic literature on the topic 'Agents multimodaux'

Author: Grafiati
Published: 7 July 2024
Last updated: 7 July 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Agents multimodaux":

1

Lisetti, C. "Le paradigme MAUI pour des agents multimodaux d'interface homme-machine socialement intelligents." Revue d'intelligence artificielle 20, no. 4-5 (October 1, 2006): 583–606. http://dx.doi.org/10.3166/ria.20.583-606.

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PELACHAUD, CATHERINE, and ISABELLA POGGI. "Multimodal embodied agents." Knowledge Engineering Review 17, no. 2 (June 2002): 181–96. http://dx.doi.org/10.1017/s0269888902000218.

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1 Believable interactive embodied agentsAmong the goals of research on autonomous agents one important aim is to build believable interactive embodied agents that are apt to application to friendly interfaces in e-commerce, tourist and service query systems, entertainment (e.g. synthetic actors) and education (pedagogical agents, agents for help and instruction to the hearing impaired).
3

Agarwal, Sanchit, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, and Tagyoung Chung. "Building Goal-Oriented Dialogue Systems with Situated Visual Context." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 13149–51. http://dx.doi.org/10.1609/aaai.v36i11.21710.

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Goal-oriented dialogue agents can comfortably utilize the conversational context and understand its users' goals. However, in visually driven user experiences, these conversational agents are also required to make sense of the screen context in order to provide a proper interactive experience. In this paper, we propose a novel multimodal conversational framework where the dialogue agent's next action and their arguments are derived jointly conditioned both on the conversational and the visual context. We demonstrate the proposed approach via a prototypical furniture shopping experience for a multimodal virtual assistant.
4

Frullano, Luca, and Thomas J. Meade. "Multimodal MRI contrast agents." JBIC Journal of Biological Inorganic Chemistry 12, no. 7 (July 21, 2007): 939–49. http://dx.doi.org/10.1007/s00775-007-0265-3.

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Relyea, Robert, Darshan Bhanushali, Abhishek Vashist, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, and Raymond Ptucha. "Multimodal Localization for Autonomous Agents." Electronic Imaging 2019, no. 7 (January 13, 2019): 451–1. http://dx.doi.org/10.2352/issn.2470-1173.2019.7.iriacv-451.

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NISHIMURA, YOSHITAKA, KAZUTAKA KUSHIDA, HIROSHI DOHI, MITSURU ISHIZUKA, JOHANE TAKEUCHI, MIKIO NAKANO, and HIROSHI TSUJINO. "DEVELOPMENT OF MULTIMODAL PRESENTATION MARKUP LANGUAGE MPML-HR FOR HUMANOID ROBOTS AND ITS PSYCHOLOGICAL EVALUATION." International Journal of Humanoid Robotics 04, no. 01 (March 2007): 1–20. http://dx.doi.org/10.1142/s0219843607000947.

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Animated agents that act and speak as attendants to guests on shopping web sites are becoming increasingly popular. Inspired by this development, we propose a new method of presentation using a humanoid robot. Humanoid presentations are effective in a real environment because they can move and look around at the audience similar to a human presenter. We developed a simple script language for multimodal presentations by a humanoid robot called MPML-HR, which is a descendant of the Multimodal Presentation Markup Language (MPML) originally developed for animated agents. MPML-HR allows many non-specialists to easily write multimodal presentations for a humanoid robot. We further evaluated humanoid robots' presentation ability using MPML-HR to find the difference in audience impressions between the humanoid robot and the animated agent. Psychological evaluation was conducted to compare the impressions of a humanoid robot's presentation with an animated agent's presentation. Using the Semantic Differential (SD) method and direct questioning, we measured the difference in audience impressions between an animated agent and a humanoid robot.
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Zhang, Zongren, Kexian Liang, Sharon Bloch, Mikhail Berezin, and Samuel Achilefu. "Monomolecular Multimodal Fluorescence-Radioisotope Imaging Agents." Bioconjugate Chemistry 16, no. 5 (September 2005): 1232–39. http://dx.doi.org/10.1021/bc050136s.

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Taroni, Andrea. "Multimodal contrast agents combat cardiovascular disease." Materials Today 11, no. 11 (November 2008): 13. http://dx.doi.org/10.1016/s1369-7021(08)70232-3.

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Kopp, Stefan, and Ipke Wachsmuth. "Synthesizing multimodal utterances for conversational agents." Computer Animation and Virtual Worlds 15, no. 1 (March 2004): 39–52. http://dx.doi.org/10.1002/cav.6.

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Ebling, Ângelo Augusto, and Sylvio Péllico Netto. "MODELAGEM DE OCORRÊNCIA DE COORTES NA ESTRUTURA DIAMÉTRICA DA Araucaria angustifolia (Bertol.) Kuntze." CERNE 21, no. 2 (June 2015): 251–57. http://dx.doi.org/10.1590/01047760201521111667.

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Estudos referentes à estrutura diamétrica das florestas nativas são essenciais para o entendimento do desenvolvimento, fornecer parâmetros do crescimento e produção suficientes para gerar estimativas que subsidiem o manejo sustentado. No entanto, a modelagem matemática de funções probabilísticas, como as de densidade, tornam-se de difícil aplicação em distribuições multimodais. A espécie Araucaria angustifolia (Bertol.) Kuntze, de importância social, ambiental e econômica, apresenta padrão de distribuição multimodal, formando unidades demográficas denominadas de coortes, que se originam, em decorrência de agentes antrópicos e naturais que atuam nos nichos. Logo, tomando com base dados inventariados de árvores com diâmetro à altura do peito, igual ou maior que 9,5 cm (DAP≥9,5 cm), oriundos da Floresta Nacional de São Francisco de Paula, RS, foram testadas diferentes funções densidade de probabilidade. O melhor ajuste à série de dados consiste em uma função truncada de polinômio de sétimo grau, que, além de manter valores ajustados muito próximos aos observados, manteve a configuração multimodal da distribuição.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Agents multimodaux":

1

Chaker, Walid. "Modélisation multi-échelle d'environnements urbains peuplés : application aux simulations multi-agents des déplacements multimodaux." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26481/26481.pdf.

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Abrilian, Sarkis. "Représentation de comportements emotionnels multimodaux spontanés : perception, annotation et synthèse." Phd thesis, Université Paris Sud - Paris XI, 2007. http://tel.archives-ouvertes.fr/tel-00620827.

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L'objectif de cette thèse est de représenter les émotions spontanées et les signes multimodaux associés pour contribuer à la conception des futurs systèmes affectifs interactifs. Les prototypes actuels sont généralement limités à la détection et à la génération de quelques émotions simples et se fondent sur des données audio ou vidéo jouées par des acteurs et récoltées en laboratoire. Afin de pouvoir modéliser les relations complexes entre les émotions spontanées et leurs expressions dans différentes modalités, une approche exploratoire est nécessaire. L'approche exploratoire que nous avons choisie dans cette thèse pour l'étude de ces émotions spontanées consiste à collecter et annoter un corpus vidéo d'interviews télévisées. Ce type de corpus comporte des émotions plus complexes que les 6 émotions de base (colère, peur, joie, tristesse, surprise, dégoût). On observe en effet dans les comportements émotionnels spontanés des superpositions, des masquages, des conflits entre émotions positives et négatives. Nous rapportons plusieurs expérimentations ayant permis la définition de plusieurs niveaux de représentation des émotions et des paramètres comportementaux multimodaux apportant des informations pertinentes pour la perception de ces émotions complexes spontanées. En perspective, les outils développés durant cette thèse (schémas d'annotation, programmes de mesures, protocoles d'annotation) pourront être utilisés ultérieurement pour concevoir des modèles utilisables par des systèmes interactifs affectifs capables de détecter/synthétiser des expressions multimodales d'émotions spontanées.
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Gallouedec, Quentin. "Toward the generalization of reinforcement learning." Electronic Thesis or Diss., Ecully, Ecole centrale de Lyon, 2024. http://www.theses.fr/2024ECDL0013.

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L’apprentissage par renforcement conventionnel implique l’entraînement d’un agent unimodal sur une tâche unique et bien définie, guidé par un signal de récompense optimisé pour le gradient. Ce cadre ne nous permet pas d’envisager un agent d’apprentissage adapté aux problèmes du monde réel impliquant des flux de diverses modalités, des tâches multiples, souvent mal définies, voire pas définies du tout. C’est pourquoi nous préconisons une transition vers un cadre plus général, visant à créer des algorithmes d’apprentissage par renforcement plus adaptables et intrinsèquement polyvalents. Pour progresser dans cette direction, nous identifions deux domaines d’intérêt principaux. Le premier est l’amélioration de l’exploration, qui permet à l’agent d’apprendre de l’environnement en dépendant le moins possible du signal de récompense. Nous présentons Latent Go-Explore (LGE), une généralisation de l’algorithme Go-Explore qui, malgré ses résultats impressionnants, était limité par une forte contrainte de connaissance du domaine. LGE atténue ces limitations et permet une application plus large dans un cadre plus général. LGE démontre son efficacité et sa polyvalence accrues en surpassant de manière significative les lignes de base dans tous les environnements testés. Le deuxième domaine d’intérêt est celui de la conception d’un agent polyvalent qui peut fonctionner dans une variété d’environnements, impliquant ainsi une structure multimodale et transcendant même le cadre séquentiel conventionnel de l’apprentissage par renforcement. Nous présentons Jack of All Trades (JAT), une architecture multimodale basée Transformers, spécialement conçue pour les tâches de décision séquentielle. En utilisant un seul ensemble de poids, JAT démontre sa robustesse et sa polyvalence, rivalisant avec son unique référence sur plusieurs benchmarks d’apprentissage par renforcement et montrant même des performances prometteuses sur des tâches de vision et textuelles. Nous pensons que ces deux contributions constituent une étape importante vers une approche plus générale de l’apprentissage par renforcement. En outre, nous présentons d’autres avancées méthodologiques et techniques qui sont étroitement liées à notre question de recherche initiale. La première est l’introduction d’un ensemble d’environnements robotiques simulés à récompense éparse, conçus pour fournir à la communauté les outils nécessaires à l’apprentissage dans des conditions de faible supervision. Trois ans après son introduction, cette contribution a été largement adoptée par la communauté et continue de faire l’objet d’une maintenance et d’un support actifs. D’autre part, nous présentons Open RL Benchmark, notre initiative pionnière visant à fournir un ensemble complet et entièrement enregistré d’expériences d’apprentissage par renforcement, allant au-delà des données typiques pour inclure toutes les métriques spécifiques à l’algorithme et au système. Ce benchmark vise à améliorer l’efficacité de la recherche en fournissant des données prêtes à l’emploi et en v vi facilitant la reproductibilité précise des expériences. Grâce à son approche communautaire, il est rapidement devenu une ressource importante, documentant plus de 25 000 exécutions. Ces avancées techniques et méthodologiques, associées aux contributions scientifiques décrites ci-dessus, visent à promouvoir une approche plus générale de l’apprentissage par renforcement et, nous l’espérons, représentent une étape significative vers le développement à terme d’un agent plus opérationnel
Conventional Reinforcement Learning (RL) involves training a unimodal agent on a single, well-defined task, guided by a gradient-optimized reward signal. This framework does not allow us to envisage a learning agent adapted to real-world problems involving diverse modality streams, multiple tasks, often poorly defined, sometimes not defined at all. Hence, we advocate for transitioning towards a more general framework, aiming to create RL algorithms that more inherently versatile.To advance in this direction, we identify two primary areas of focus. The first aspect involves improving exploration, enabling the agent to learn from the environment with reduced dependence on the reward signal. We present Latent Go-Explore (LGE), an extension of the Go-Explore algorithm. While Go-Explore achieved impressive results, it was constrained by domain-specific knowledge. LGE overcomes these limitations, offering wider applicability within a general framework. In various tested environments, LGE consistently outperforms the baselines, showcasing its enhanced effectiveness and versatility. The second focus is to design a general-purpose agent that can operate in a variety of environments, thus involving a multimodal structure and even transcending the conventional sequential framework of RL. We introduce Jack of All Trades (JAT), a multimodal Transformer-based architecture uniquely tailored to sequential decision tasks. Using a single set of weights, JAT demonstrates robustness and versatility, competing its unique baseline on several RL benchmarks and even showing promising performance on vision and textual tasks. We believe that these two contributions are a valuable step towards a more general approach to RL. In addition, we present other methodological and technical advances that are closely related to our core research question. The first is the introduction of a set of sparsely rewarded simulated robotic environments designed to provide the community with the necessary tools for learning under conditions of low supervision. Notably, three years after its introduction, this contribution has been widely adopted by the community and continues to receive active maintenance and support. On the other hand, we present Open RL Benchmark, our pioneering initiative to provide a comprehensive and fully tracked set of RL experiments, going beyond typical data to include all algorithm-specific and system metrics. This benchmark aims to improve research efficiency by providing out-of-the-box RL data and facilitating accurate reproducibility of experiments. With its community-driven approach, it has quickly become an important resource, documenting over 25,000 runs.These technical and methodological advances, along with the scientific contributions described above, are intended to promote a more general approach to Reinforcement Learning and, we hope, represent a meaningful step toward the eventual development of a more operative RL agent
4

Kamoun, Mohamed. "Conception d’un système d’information pour l’aide au déplacement multimodal : une approche multi-agents pour la recherche et la composition des itinéraires en ligne." Ecole Centrale de Lille, 2007. http://tel.archives-ouvertes.fr/docs/00/14/28/46/PDF/these_kamoun.pdf.

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Afin d’éviter au voyageur de consulter plusieurs sites web d’opérateurs de transport en commun pour planifier son déplacement, ce travail vise à concevoir un Système d’Information Coopératif de Mobilité (SICM) pour l’aide au déplacement multimodal. Il s’agit d’automatiser cette démarche de recherche et de composition d’itinéraires, pour fournir une information multimodale via un système intégrateur, en s’appuyant sur la théorie des systèmes multi agents (SMA) pour l’intégration et la médiation des systèmes d’information des différents opérateurs de transport. Pour produire l’information multimodale et multi-opérateurs nécessaire à l’aide au déplacement, le SICM doit accéder aux différents systèmes d’information des opérateurs de transport et intégrer des résultats de recherche qui sont générés par les différents algorithmes des différents opérateurs. Dans cette approche, le SICM est un intergiciel (middleware) qui devient un client parmi d’autres usagers des systèmes d’information existants. Le SICM devient alors l’intermédiaire entre les différentes sources d’informations hétérogènes et distribuées d’une part et les clients d’autre part. Ce système doit être capable à la fois de trouver la bonne source d’information pour l’interroger selon les différentes requêtes des utilisateurs, et de regrouper les informations de manière cohérente pour répondre aux requêtes. Pour fournir un itinéraire composé mais surtout optimisé selon les critères de l’utilisateur, le recours à des algorithmes de plus courts chemins distribués « en-ligne », et adaptés à des graphes dynamiques a été retenu pour réaliser ce moteur de recherche et de composition en ligne d’itinéraires multimodaux
To plan his travel, a traveller has to consult several web sites of different public transport operators. To avoid this time consuming task, this work consists in conceiving a Mobility Cooperative information system (SICM) providing a multi-modal and a multi-operators travel information. This integration system automates the itineraries search and the multi-operators routes composition. Its design is based on the multiagent system theory (MAS). The SICM tries, in fact, to make the existing operators’ information systems cooperating efficiently together, so that it can provide users with the optimized route to follow, by compiling the needed information from the different operators information sources. In this approach, the SICM is a middleware which becomes a customer among other users of the existing information systems. It can be considered as a mediator between the various distributed information sources on the one hand and the travellers on the other hand. The system should be able, at the same time, to find the needed information sources which are able to answer an itinerary request, and to gather this information in a coherent way to compose an optimized itinerary. To provide an optimized route, according to the criterion of the user, distributed and time-dependent shortest path algorithms were adopted and adapted to realize an on-line itinerary composition
5

Bangalore, Kantharaju Reshmashree. "Modelling Cohesive Behaviours for Virtual Agents in Multiparty Interactions." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS230.

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Les interactions de groupe sont une forme de communication couramment utilisée entre humains. Souvent, les membres d'un groupe sont impliqués dans la discussion, la prise de décisions et l'échange d'idées, dans différents contextes (par exemple, réunion, conférence, fête, etc.). La cohésion de groupe décrit le lien partagé qui pousse les membres à rester ensemble et à vouloir travailler ensemble pour atteindre les objectifs du groupe. Dans les interactions de groupe, les humains communiquent et se coordonnent via un certain nombre de comportements verbaux et non verbaux. Dans ce travail de recherche, dans un premier temps, nous reconnaissons la relation entre la cohésion de groupe et certains signaux sociaux d'intérêt non verbaux. Ensuite, nous présentons les résultats sur l'estimation automatique des niveaux de cohésion dans les groupes en utilisant différentes caractéristiques et techniques de représentation des caractéristiques pour les groupes. Les agents virtuels, un personnage animé généré par ordinateur avec des comportements non verbaux de type humain, ont été largement utilisés pour les interactions homme-machine dans diverses applications, par exemple des agents éducatifs, des entraîneurs de santé, des assistants de formation, etc. La plupart des applications jusqu'à présent se sont concentrées sur le développement d'agents pour des interactions dyadiques, c'est-à-dire un seul agent et utilisateur. Un groupe d'agents (multipartite) peut être potentiellement efficace pour persuader, motiver et éduquer les utilisateurs à travers des discussions interactives. Dans l'étape suivante, nous développons un modèle multipartite impliquant plusieurs agents autonomes capables d'afficher un comportement de groupe cohérent, c'est-à-dire un engagement partagé envers les tâches de groupe et une relation positive entre les agents. Compte tenu de l'augmentation du nombre d'applications utilisant des agents virtuels, il est important d'étudier les interactions entre plusieurs agents et l'utilisateur et de comprendre les effets de l'utilisation d'un tel système. Nous émettons l'hypothèse que l'utilisation d'un système multi-agents permettrait à l'utilisateur d'être plus engagé dans la discussion et fournirait différentes perspectives sur le même problème et faciliterait aux utilisateurs de prendre des décisions éclairées. Par conséquent, dans la dernière étape, nous menons plusieurs études d'évaluation des utilisateurs pour comprendre les effets des interactions multipartites sur l'utilisateur et ses perceptions, par exemple le niveau de confiance, la persuasion. Nous présentons des informations sur la forme d'interactions la plus efficace pour promouvoir un changement de comportement ou persuader l'utilisateur à l'aide de différents sujets de conversation de groupe. En résumé, dans cette thèse, nous reconnaissons l'association entre certains signaux sociaux non verbaux et la cohésion de groupe, présentons la précision de l'estimation à l'aide de caractéristiques extraites de ces signaux, développons un modèle multipartite pour simuler un groupe cohésif d'agents affichant des signaux sociaux importants et enfin évaluons l'efficacité d'un tel modèle dans un contexte de changement de comportement et ses effets sur les perceptions des utilisateurs
Group interactions are a commonly used form of communication among humans. Often the members of a group are involved in discussing, making decisions and exchanging ideas, under different settings (e.g., meeting, conference, party etc.). Group Cohesion describes the shared bond that drives the members to stay together and to want to work together to achieve group goals. In group interactions, humans communicate and coordinate with each other via a number of verbal and nonverbal behaviours. In this research work, as a first step we recognise the relation between group cohesion and certain non-verbal social signals of interest. Next, we present the results on automatic estimation of cohesion levels in groups using different features and feature representation techniques for groups. Virtual agents, a computer-generated animated character with human-like non-verbal behaviours, have been widely used for human-computer interactions in various applications e.g., educational agents, health coaches, training assistants etc. Most of the applications so far have focused on developing agents for dyadic interactions i.e., a single agent and user. A group of agents (multiparty) can be potentially effective in persuading, motivating and educating the users through interactive discussions. In the next step, we develop a multiparty model involving multiple autonomous agents that are capable of displaying cohesive group behaviour i.e., shared commitment to group tasks and positive relationship among the agents. Considering the surge in the range of applications using virtual agents, it is important to study the interactions between multiple agents and the user and understand the effects of using such a system. We hypothesise that the use of a multi-agent system would allow the user to be more engaged in the discussion and provide different perspectives on the same issue and facilitate the users to make informed decisions. Therefore, in the final step we conduct multiple user evaluation studies to understand the effects of multiparty interactions on the user and their perceptions e.g., the level of trust, persuasion. We present insights into the most effective form of interactions for promoting behaviour change or persuading the user using different group conversational topics. To summarise, in this thesis we recognise the association between certain non-verbal social signals and group cohesion, present the estimation accuracy using features extracted from these signals, develop a multiparty model to simulate a cohesive group of agents displaying prominent social signals and finally evaluate the effectiveness of such a model in the context of behaviour change and its effects on user’s perceptions
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Fragoso, Ygara Lúcia Souza Melo. "Guibuilder multimodal : um framework para a geração de interfaces multimodais com o apoio de interaction design patterns." Universidade Federal de São Carlos, 2012. https://repositorio.ufscar.br/handle/ufscar/7641.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
The interaction between humans and the computers has improved substantially during time through the evolution of interfaces of interaction. The possibility of users to interact with machines through several modalities of communication, and in a natural way, can increase the level of interest from the user and ensure the success of the application. However, the literature of the area of multimodality has shown that developing such interfaces is not a simple task, mainly for non-experienced or recently graduated professionals, since each designer’s modality of interaction has its complexity in technical terms, as acquisition and adaptation with new tools, languages, possible actions and etc. Moreover it is necessary to verify which modalities (voice, touch and gestures) can be used in the application, how to combine these modalities in a way that the stronger point of one completes the weak point of the other and vice versa, and also knowing in what context the final user will be involved. The GuiBuilder Multimodal was developed aiming to try providing the basic needs in implementing an interface that uses voice, touch and gesture. The framework promotes an interface development through the WYSIWYG (What You See Is What You Get) model, where the designer just sets some parameters so the component is multimodal. During the interface creation phase, agents supervise what the designer does and supply support, clues, with design patterns that might be divided in categories such as: multimodality, interaction with the user and components.
A interação entre humano e computador tem melhorado substancialmente ao longo do tempo através da evolução das interfaces de interação. A possibilidade de usuários interagirem com máquinas através de várias modalidades de comunicação, e de forma natural, pode aumentar o nível de interesse do usuário e garantir o sucesso da aplicação. Porém, o estado da arte da área de multimodalidade demonstra que desenvolver tais interfaces não é uma tarefa simples, principalmente para projetistas inexperientes ou recém formados, pois cada modalidade de interação tem sua complexidade em termos técnicos, como aquisição e adaptação com novas ferramentas, linguagens, ações possíveis e etc. Além disso, é preciso verificar quais modalidades (voz, toque e gestos) podem ser usadas na aplicação, como combinar essas modalidades de forma que o ponto forte de uma complemente o ponto fraco da outra e vice-versa e também saber em qual contexto o usuário final estará inserido. O GuiBuilder Multimodal foi desenvolvido com o intuito de tentar suprir as necessidades básicas em se implementar uma interface que utiliza voz, toque e gesto. O framework promove um desenvolvimento de interface através do modelo WYSIWYG (What You See Is What You Get) onde o projetista apenas define alguns parâmetros para que um componente seja multimodal. Durante a fase de criação da interface agentes supervisionam o que o designer faz e fornece um apoio, dicas, com padrões de projeto que podem ser divididos em categorias como: multimodalidade, interação com o usuário e componentes.
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Bendal, Ove-Andre. "Integration of multimodal input by using agents." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9251.

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Today, user interfaces normally consist of a screen, and a pointing device and a keyboard for input. However, as more advanced technology and methods appears, there should be good chances to utilize these for more natural and effective human-computer interfaces. The main motivation is to get a more natural and easy to use interface, and the computer should understand the user without too much effort from the user. Intelligent interfaces could be a solution to achieve this goal. The main focus in this thesis, is multimodal input which combines different input modalities to achieve the user's goal. A framework has been designed where the user has the possibility to change between input modalities. The system should integrate the information given in different input modalities to one joint meaning. In this architecture, input could either be location or command input, and different modalities could be used for each input type. The example described later on in this thesis combines either speech or written text as command input, with either map input or physical position for location input. An agent-based blackboard architecture are used for collecting input. Agents collect information directly from the user. Each agent represent their own input modality, and is responsible to analyse input. As this is done, the agent send the information to a common blackboard which hold the latest information from each agent. An own agent which is responsible for fusing this information to one common meaning, collects the information from the blackboard and integrate it to one joint meaning. This joint interpretation decides what should be done to which object. Since the modalities are independent of each other, other modalities could easily be added with just small changes to other parts of the system as long as it is an command or location input which agrees to the currently representation structure.

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Mancini, Maurizio. "Multimodal distinctive behavior for expressive embodied conversational agents." Paris 8, 2008. https://octaviana.fr/items/show/9956#?c=0&m=0&s=0&cv=0.

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Les agents conversationnels sont un nouveau type d'interface de communication qui ont un aspect humain et des capacités communicatives. Les utilisateurs, qui interagissent avec ces agents, pourraient être plus engagés et participatifs si les agents montrent un comportement cohérent dans différentes situations conversationnelles et suivant leurs états émotionnels. En particulier les agents doivent maintenir une tendance générale comportementale au cours de toute conversation. Notre but est d'augmenter la crédibilité des agents en adressant deux aspects de la communication de l'agent: - un agent doit être capable de montrer ses intentions communicatives non seulement avec son choix des expressions faciales, gestes, etc. , mais aussi en modifiant la qualité de ses mouvements (e. G. , leur vitesse, amplitude, etc. ) et le choix des modalités qui sont utilisées durant la communication; - le comportement caractéristique de l'agent (i. E. Sa "tendance" du choix des modalités et sa qualité globale d'expressivité) doit transparaître durant toute communication. Nous avons développer un modèle qui intègre ces deux propriétés. Nous évaluons la capacité de l'agent à maintenir une tendance comportementale globale à travers des tests perceptifs et des scénarios applicatifs. Le système résultant est fortement extensible et configurable. Il peut être aussi utilisé comme instrument de recherche sur la communication humaine
Embodied Conversational Agents are a new type of computer interfaces which have human-like bodies and conversational skills. Users interacting with agents will be more engaged and participative if the agents exhibit behaviors which look coherent across different situations and emotional states. In the present work, we aim at increasing agents believability by looking at two main aspects of the problem : - an agent must be able to show its emotional state and communicative intentions not only through specific facial expressions, gestures, etc. , but also by varying the quality of its movements (e. G. , their speed, amplitude, etc. ) and the choice of the modalities that are used to communicate ; - the agent must maintain a disctinctive behavior tendency has to remain apparent during any communication ; We have developed a model to solve the two above issues. We have evaluated the realism and believability of the resulting agent's behaviors through perceptual tests and application scenario. The resulting system is highly extensible and configurable. It can also be used as a research tool to study human communication
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Gaciarz, Matthis. "Régulation de trafic urbain multimodal : une modélisation multi-agents." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1281/document.

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Depuis plusieurs décennies, la congestion urbaine est de plus en plus répandue et dégrade la qualité de vie des habitants des villes. Plusieurs méthodes sont utilisées pour diminuer la congestion urbaine, notamment la régulation du trafic et la valorisation des transports en commun. Depuis les années 1990 l'utilisation d‘outils issus de l'intelligence artificielle, et en particulier des méthodes distribuées et les systèmes multi-agents, a permis de concevoir de nouvelles méthodes de régulation du trafic. Parallèlement, l'amélioration des capacités de communication des véhicules et des conducteurs et l'arrivée de voitures autonomes permettent d'envisager de nouvelles approches en matière de régulation. Le travail de recherche proposé dans le cadre de cette thèse est structuré en deux volets. Nous proposons d'abord une méthode de régulation du trafic à une intersection s'appuyant sur la négociation automatique. Notre méthode se fonde sur un système d'argumentation décrivant l'état du trafic et les préférences de chacun, appuyé par des méthodes de raisonnement pour les véhicules et les infrastructures. Dans le deuxième volet de cette thèse, nous proposons une méthode de coordination des bus avec le reste du trafic. Celle-ci permet à un bus de se coordonner de manière anticipative avec les prochaines intersections qu'il prévoit de traverser, afin de mettre en place une politique commune de régulation qui permet au bus d'atteindre son prochain arrêt en subissant le minimum de congestions potentielles
Since several decades, urban congestion is more and more widespread and deteriorate the quality of life of citizens who live in cities. Several methods are used to reduce urban congestion, notably traffic regulation and promotion of public transportation. Since the 1990's, the usage of tools from artificial intelligence, particularly distributed systems and multi-agent systems, allowed to design new methods for traffic regulation. Indeed, these methods ease to take into account the complexity of traffic-related problems with distribution. Moreover, the improvement of the communication abilities of the vehicles and the coming of autonomous vehicles allow to consider new approaches for regulation.The research work presented in this work is twofold. First we propose a method for traffic regulation at an intersection based on automatic negotiation. Our method is based on an argumentation system describing the state of the traffic and the preferences of each vehicle, relying on reasonning methods for vehicles and infrastructures. In the second part of this thesis, we propose a coordination method for buses for the rest of the traffic. This method allows a bus to coordinate in an anticipatory way with the next intersections on its trajectory, in order to define a common regulation policy allowing the bus to reach its next stop without suffering from potential congestions
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Kothapalli, Satya V. V. N. "Nano-Engineered Contrast Agents : Toward Multimodal Imaging and Acoustophoresis." Doctoral thesis, KTH, Medicinsk bildteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172397.

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Diagnostic ultrasound (US) is safer, quicker and cheaper than other diagnostic imaging modalities. Over the past two decades, the applications of US imaging has been widened due to the development of injectable, compressible and encapsulated microbubbles (MBs) that provide an opportunity to improve conventional echocardiographic imaging, blood flow assessment and molecular imaging. The encapsulating material is manufactured by different biocompatible materials such as proteins, lipids or polymers. In current research, researchers modify the encapsulated shell with the help of advanced molecular chemistry techniques to load them with dyes (for fluorescent imaging), nanoparticles and radioisotopes (for multimodal imaging) or functional ligands or therapeutic gases (for local drug delivery). The echogenicity and the radial oscillation of MBs is the result of their compressibility, which undoubtedly varies with the encapsulated shell characteristics such as rigidity or elasticity. In this thesis, we present acoustic properties of novel type of polyvinyl alcohol (PVA)-shelled microbubble (PVA-MB) that was further modified with superparamagnetic iron oxide nanoparticles (SPIONs) to work as a dual-modal contrast agent for magnetic resonance (MR) imaging along with US imaging. Apparently, the shell modification changes their mechanical characteristics, which affects their acoustic properties. The overall objective of the thesis is to investigate the acoustic properties of modified and unmodified PVA-MBs at different ultrasound parameters. The acoustic and mechanical characterization of SPIONs modified PVA-MBs revealed that the acoustical response depends on the SPION inclusion strategy. However they retain the same structural characteristics after the modification. The modified MBs with SPIONs included on the surface of the PVA shell exhibit a soft-shelled behavior and produce a higher echogenicity than the MBs with the SPIONs inside the PVA shell. The fracturing mechanism of the unmodified PVA-MBs was identified to be different from the other fracturing mechanisms of conventional MBs. With the interaction of high-pressure bursts, the air gas core is squeezed out through small punctures in the PVA shell. During the fracturing, the PVA-MBs exhibit asymmetric (other modes) oscillations, resulting in sub- and ultra-harmonic generation. Exploiting the US imaging at the other modes of the oscillation of the PVA-MBs would provide an opportunity to visualize very low concentrations of (down to single) PVA-MBs. We further introduced the PVA-MBs along with particles mimicking red blood cells in an acoustic standing-wave field to observe the acoustic radiation force effect. We observed that the compressible PVA-MBs drawn toward pressure antinode while the solid blood phantoms moved toward the pressure node. This acoustic separation method (acoustophoresis) could be an efficient tool for studying the bioclearance of the PVA-MBs in the body, either by collecting blood samples (in-vitro) or by using the extracorporeal medical procedure (ex-vivo) at different organs. Overall, this work contributes significant feedback for chemists (to optimize the nanoparticle inclusion) and imaging groups (to develop new imaging sequences), and the positive findings pave new paths and provide triggers to engage in further research.

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Books on the topic "Agents multimodaux":

1

Miehle, Juliana, Wolfgang Minker, Elisabeth André, and Koichiro Yoshino, eds. Multimodal Agents for Ageing and Multicultural Societies. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3476-5.

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Böck, Ronald, Francesca Bonin, Nick Campbell, and Ronald Poppe, eds. Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15557-9.

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Emerson, Donald J., Doris Lee, Crystal M. Cummings, Jennifer Thompson, Bridget M. Wieghart, and Shelly Brown. Navigating Multi-Agency NEPA Processes to Advance Multimodal Transportation Projects. Washington, D.C.: Transportation Research Board, 2016. http://dx.doi.org/10.17226/23581.

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Müller-Jentsch, Daniel. Transport policies for the Euro-Mediterranean free-trade area: An agenda for multimodal transport reform in the southern Mediterranean. Washington, D.C: World Bank, 2002.

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Multimodal Concepts for Integration of Cytotoxic Drugs (Medical Radiology). Springer, 2006.

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Böck, Ronald, Francesca Bonin, Nick Campbell, and Ronald Poppe. Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction. Springer, 2015.

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Mehta, M. P., L. W. Brady, J. M. Brown, C. Nieder, and H. P. Heilmann. Multimodal Concepts for Integration of Cytotoxic Drugs. Springer Berlin / Heidelberg, 2010.

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André, Elisabeth, Wolfgang Minker, Juliana Miehle, and Koichiro Yoshino. Multimodal Agents for Ageing and Multicultural Societies: Communications of NII Shonan Meetings. Springer, 2022.

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André, Elisabeth, Wolfgang Minker, Juliana Miehle, and Koichiro Yoshino. Multimodal Agents for Ageing and Multicultural Societies: Communications of NII Shonan Meetings. Springer Singapore Pte. Limited, 2021.

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(Foreword), L. W. Brady, H. P. Heilmann (Foreword), M. Molls (Foreword), J. M. Brown (Editor), M. P. Mehta (Editor), and C. Nieder (Editor), eds. Multimodal Concepts for Integration of Cytotoxic Drugs (Medical Radiology / Radiation Oncology). Springer, 2006.

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Book chapters on the topic "Agents multimodaux":

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Kipp, Michael, Alexis Heloir, Marc Schröder, and Patrick Gebhard. "Realizing Multimodal Behavior." In Intelligent Virtual Agents, 57–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_7.

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Rehm, Matthias. "Multimodal Training Between Agents." In Intelligent Virtual Agents, 348–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39396-2_57.

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Niewiadomski, Radosław, and Catherine Pelachaud. "Towards Multimodal Expression of Laughter." In Intelligent Virtual Agents, 231–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33197-8_24.

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Ding, Yu, Catherine Pelachaud, and Thierry Artières. "Modeling Multimodal Behaviors from Speech Prosody." In Intelligent Virtual Agents, 217–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40415-3_19.

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Bevacqua, Elisabetta, Sathish Pammi, Sylwia Julia Hyniewska, Marc Schröder, and Catherine Pelachaud. "Multimodal Backchannels for Embodied Conversational Agents." In Intelligent Virtual Agents, 194–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_21.

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Reidsma, Dennis, Herwin van Welbergen, and Job Zwiers. "Multimodal Plan Representation for Adaptable BML Scheduling." In Intelligent Virtual Agents, 296–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_32.

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Riviere, Jeremy, Carole Adam, Sylvie Pesty, Catherine Pelachaud, Nadine Guiraud, Dominique Longin, and Emiliano Lorini. "Expressive Multimodal Conversational Acts for SAIBA Agents." In Intelligent Virtual Agents, 316–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_34.

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Morency, Louis-Philippe, Iwan de Kok, and Jonathan Gratch. "Predicting Listener Backchannels: A Probabilistic Multimodal Approach." In Intelligent Virtual Agents, 176–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85483-8_18.

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Thórisson, Kristinn R., Olafur Gislason, Gudny Ragna Jonsdottir, and Hrafn Th Thorisson. "A Multiparty Multimodal Architecture for Realtime Turntaking." In Intelligent Virtual Agents, 350–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_37.

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Sharma, Parvesh, Amit Singh, Scott C. Brown, Niclas Bengtsson, Glenn A. Walter, Stephen R. Grobmyer, Nobutaka Iwakuma, Swadeshmukul Santra, Edward W. Scott, and Brij M. Moudgil. "Multimodal Nanoparticulate Bioimaging Contrast Agents." In Methods in Molecular Biology, 67–81. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-609-2_5.

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Conference papers on the topic "Agents multimodaux":

1

Dermouche, Soumia, and Catherine Pelachaud. "Generative Model of Agent’s Behaviors in Human-Agent Interaction." In ICMI '19: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3340555.3353758.

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Biancardi, Beatrice, Angelo Cafaro, and Catherine Pelachaud. "Could a virtual agent be warm and competent? investigating user's impressions of agent's non-verbal behaviours." In ICMI '17: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3139491.3139498.

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Teraphongphom, Nutte Tarn, Margaret A. Wheatley, Peter Chhour, and David P. Cormode. "Multimodal Polymeric Contrast Agents." In 2013 39th Annual Northeast Bioengineering Conference (NEBEC). IEEE, 2013. http://dx.doi.org/10.1109/nebec.2013.114.

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Chaminade, Thierry. "How do artificial agents think?" In ICMI '17: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3139491.3139511.

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Yalçin, Özge Nilay. "Modeling Empathy in Embodied Conversational Agents." In ICMI '18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3242969.3264977.

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Tanaka, Hiroki, Hideki Negoro, Hidemi Iwasaka, and Satoshi Nakamura. "Listening Skills Assessment through Computer Agents." In ICMI '18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3242969.3242970.

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Pelachaud, Catherine. "Multimodal expressive embodied conversational agents." In the 13th annual ACM international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1101149.1101301.

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Pelachaud, Catherine, and Isabella Poggi. "Multimodal communication between synthetic agents." In the working conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/948496.948518.

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"ADAPTATIVE MULTIMODAL ARCHITECTURES MANAGING SOFTWARE QUALITIES." In 1st International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001665303490352.

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Barange, Mukesh, Sandratra Rasendrasoa, Maël Bouabdelli, Julien Saunier, and Alexandre Pauchet. "Multimodal adaptive empathic agent architecture." In IVA '22: ACM International Conference on Intelligent Virtual Agents. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3514197.3551251.

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Reports on the topic "Agents multimodaux":

1

Sofge, Donald, Magdalena Bugajska, William Adams, Dennis Perzanowski, and Alan Schultz. Agent-based Multimodal Interface for Dynamically Autonomous Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada434975.

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David, Allan E. Microenvironment-Sensitive Multimodal Contrast Agent for Prostate Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada610926.

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Lumpkin, Shamsie, Isaac Parrish, Austin Terrell, and Dwayne Accardo. Pain Control: Opioid vs. Nonopioid Analgesia During the Immediate Postoperative Period. University of Tennessee Health Science Center, July 2021. http://dx.doi.org/10.21007/con.dnp.2021.0008.

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Background Opioid analgesia has become the mainstay for acute pain management in the postoperative setting. However, the use of opioid medications comes with significant risks and side effects. Due to increasing numbers of prescriptions to those with chronic pain, opioid medications have become more expensive while becoming less effective due to the buildup of patient tolerance. The idea of opioid-free analgesic techniques has rarely been breached in many hospitals. Emerging research has shown that opioid-sparing approaches have resulted in lower reported pain scores across the board, as well as significant cost reductions to hospitals and insurance agencies. In addition to providing adequate pain relief, the predicted cost burden of an opioid-free or opioid-sparing approach is significantly less than traditional methods. Methods The following groups were considered in our inclusion criteria: those who speak the English language, all races and ethnicities, male or female, home medications, those who are at least 18 years of age and able to provide written informed consent, those undergoing inpatient or same-day surgical procedures. In addition, our scoping review includes the following exclusion criteria: those who are non-English speaking, those who are less than 18 years of age, those who are not undergoing surgical procedures while admitted, those who are unable to provide numeric pain score due to clinical status, those who are unable to provide written informed consent, and those who decline participation in the study. Data was extracted by one reviewer and verified by the remaining two group members. Extraction was divided as equally as possible among the 11 listed references. Discrepancies in data extraction were discussed between the article reviewer, project editor, and group leader. Results We identified nine primary sources addressing the use of ketamine as an alternative to opioid analgesia and post-operative pain control. Our findings indicate a positive correlation between perioperative ketamine administration and postoperative pain control. While this information provides insight on opioid-free analgesia, it also revealed the limited amount of research conducted in this area of practice. The strategies for several of the clinical trials limited ketamine administration to a small niche of patients. The included studies provided evidence for lower pain scores, reductions in opioid consumption, and better patient outcomes. Implications for Nursing Practice Based on the results of the studies’ randomized controlled trials and meta-analyses, the effects of ketamine are shown as an adequate analgesic alternative to opioids postoperatively. The cited resources showed that ketamine can be used as a sole agent, or combined effectively with reduced doses of opioids for multimodal therapy. There were noted limitations in some of the research articles. Not all of the cited studies were able to include definitive evidence of proper blinding techniques or randomization methods. Small sample sizes and the inclusion of specific patient populations identified within several of the studies can skew data in one direction or another; therefore, significant clinical results cannot be generalized to patient populations across the board.

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