Toutes nos publications
La liste complète des publications de l’Institut Henri Fayol peut être consultée sur l’archive HAL CCSD CNRS via notre portail HAL-EMSE.
Nos dernières publications sur l’archive HAL CCSD CNRS
- Et si nos industries pouvaient fonctionner à la manière des écosystèmes naturels, en harmonie avec leur environnement, pour des siècles à venir ? C'est l'ambition de la permaindustrie, un modèle inspiré du vivant qui réinvente nos façons de produire face aux défis écologiques et sociaux du 21e siècle, alors que l'équivalent de 2,9 planètes serait […]
- Approximation of functions satisfying partial dierential equations is paramount for simulation of physical uid ows and other problems in physics. Recent studies related to physics-informed machine learning [1] have proven useful as a data-driven complement to numerical models for Partial Dierential Equations (PDEs). However, their eciency and convergence depend on the availability of vast training […]
- L’ingénierie des connaissances est une thématique de l’Intelligence Artificielle qui contribue au développement de modèles, méthodes et outils pour l’acquisition, la représentation et l’intégration de connaissances. Sa finalité est la production de méthodes et outils « intelligents », capables d’aider l’humain dans ses activités et ses prises de décisions. La conférence Ingénierie des Connaissances est un lieu […]
- Approximation of functions satisfying partial dierential equations is paramount for simulation of physical uid ows and other problems in physics. Recent studies related to physics-informed machine learning [1] have proven useful as a data-driven complement to numerical models for Partial Dierential Equations (PDEs). However, their eciency and convergence depend on the availability of vast training […]
- L'analyse des pointes de pollution hivernales et estivales à Saint-Etienne, en 1997, fait apparaître l'importance du lien entre les données de la climatologie locale et les niveaux de pollution. Le gradient thermique vertical dans les basses couches de l'atmosphère paraît être un facteur essentiel. Cette relation dans le temps entre la qualité de l'air et […]
- There were 15 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 1 as regular paper and 11 as short papers.
- Multi-Agent Systems are a long-standing subfield of artificial intelligence, with foundational concepts emerging as early as the 1980s. Multi-Agent Systems involve collections of autonomous agents interacting within an environment and organized within a system. Although early research showed strong potential, computational limitations at the time restricted real-world adoption. The recent rise of AI Agents and […]
- In multi-agent systems (MAS), agents can be governed by regulations. Due to an ever-evolving set of exogenous or endogenous changes, the ability of MAS to adapt regulations becomes crucial. In the MAS literature, there is a lack of comprehensive works defining models to adapt regulations. We propose a general regulation adaptation model for MAS that […]
- This paper reviews agent frameworks and benchmark datasets for software agents evolving in a Web environment. All frameworks and datasets make the assumption that agents interact with their environment through text and images alone, hiding the main abstractions of the Web and its architectural constraints. This study raises the question whether software agents that leverage […]
- Inter-agent explanations are an emerging approach to agent communication that enable agents to share their cognitive processes in order to reach mutual understanding. A key challenge is that agents are often heterogeneous, built on different paradigms and architectures, which makes their internal representations difficult to exchange directly. The Semantic Web offers key technologies, in the […]
Nos dernières publications en texte intégral
- In multi-agent systems (MAS), agents can be governed by regulations. Due to an ever-evolving set of exogenous or endogenous changes, the ability of MAS to adapt regulations becomes crucial. In the MAS literature, there is a lack of comprehensive works defining models to adapt regulations. We propose a general regulation adaptation model for MAS that […]
- This paper reviews agent frameworks and benchmark datasets for software agents evolving in a Web environment. All frameworks and datasets make the assumption that agents interact with their environment through text and images alone, hiding the main abstractions of the Web and its architectural constraints. This study raises the question whether software agents that leverage […]
- Inter-agent explanations are an emerging approach to agent communication that enable agents to share their cognitive processes in order to reach mutual understanding. A key challenge is that agents are often heterogeneous, built on different paradigms and architectures, which makes their internal representations difficult to exchange directly. The Semantic Web offers key technologies, in the […]
- The increasing distribution of autonomous agents incorporating Artificial Intelligence technologies to operate (e.g., perceive, decide, interact, and act) in dynamic shared environments raises the challenge of ensuring their governance without limiting their autonomy. In multi-agent systems (MAS), regulation concepts and mechanisms, such as rules, norms, and sanctions, are usually integrated into what are called normative […]
- Dans des environnements turbulents et incertains, les organisations recourent de plus en plus à des structures temporaires pour renforcer leur capacité d'adaptation. Cette étude analyse le rôle des task forces dans la supply chain aéronautique pour le développement des microfondations des capacités dynamiques. À partir d'observations participantes et d'entretiens auprès d'acteurs du secteur, nous montrons […]
- This report summarises the project impact evaluation results conducted within task 6.6 for the different pilot sites of the different use case families according to the Key Performance Indicators (KPIs) defined in deliverable OMEGA-X_D3.5. In addition, it describes the lessons learnt, best practises and recommendations obtained both from a technical and SSH (Social Sciences and […]
- D4.4 – Data ingestion, Common Information Model and semantic interoperability" is the second edition of OMEGA-X_D4.1 – Data ingestion, Common Information Model and semantic interoperability" [1]. Deliverable OMEGA-X_D4.4 documents the implementation for OMEGA-X federated infrastructure of the needed data adapters, tailored to the demo case requirements, and the agreement and implementation of a Common Information […]
- The document is OMEGA-X_D2.4, which updates OMEGA-X_D2.3 published in April 2024. Updates on Data Space initiatives and sister projects have been conducted. All the changes are using a blue colour. All new or updated sections are tagged. OMEGA-X_D2.4 “Data Space initiatives/projects in EU (European Union) and BRIDGE alignment, Final Release” is an update of OMEGA-X_D2.3 […]
- Many situations lead to sparse data or uncertain data. Gaussian processes (GPs) offer a mathematically funded framework for learning, optimizing, and other decision-making activities. This poster, presented at the HCERES* audit of the LIMOS laboratory in 2025, summarizes several contributions of the St-Etienne applied mathematics team of the LIMOS made between 2023 and 2025. * […]
- Agile and collaborative approaches to ontologies design are crucial because they contribute to making them userdriven, up-to-date, and able to evolve alongside the systems they support, hence proper continuous validation tooling is required to ensure ontologies match developers' requirements all along their development. We propose OLIVAW (Ontology Long-lived Integration Via ACIMOV Workflow), a tool supporting […]