1,721,035 research outputs found
Social media and electoral dynamics: A dataset of X and facebook activity during the 2024 European elections
No full textThe “RightNets” dataset presented in this paper was collected within the framework of the RightNets project, focusing on digital campaigning during the six months leading up to the 2024 European elections in Italy. It encompasses 10,000 tweets and 411 Facebook posts, systematically gathered to analyze online political dynamics. For each tweet, the dataset records its unique ID, engagement metrics—including retweet, reply, like, and quote counts—and timestamps, along with attributes identifying retweets, replies, or quotes. Similarly, the Facebook dataset includes post metadata such as unique ID and engagement metrics like likes, shares, and comments, as well as posting dates. The data was collected using automated tools that targeted specific election-related hashtags, ensuring a focus on relevant political content. The dataset is hosted in a GitHub repository, providing accessibility and fostering reproducibility. By emphasizing transparency, it allows researchers to study key dimensions of digital campaigning, such as engagement patterns, the spread of misinformation, and the potential for foreign interference. The granular details enable analysis of voter interaction trends and candidate accountability across platforms. Furthermore, its design supports interdisciplinary research, with applications in political science, law, and computational social science. The dataset holds significant potential for reuse, serving as a benchmark for longitudinal studies, a foundation for computational model development, and a resource for comparative analyses across elections and countries. It is a tool for exploring the complexities of modern digital political communication and for informing regulatory measures to enhance the fairness of online electoral processes
Design and virtualization of intelligent systems for the management of assistive environments
No full textL'invecchiamento della popolazione mondiale pone sfide senza precedenti. L'Ambient Assisted Living (AAL) punta all'estensione del tempo che le persone possono trascorrere nel loro ambiente preferito, promuovendo lo sviluppo delle Information & Communications Technology per supportare un invecchiamento attivo e sano. Questa tesi affronta le sfide lanciate dalla letteratura scientifica relativa all'AAL: la necessità di servizi interoperabili, la mancanza di una progettazione sistematica delle soluzioni per l'AAL e un grado di accettazione ancora basso verso le tecnologie dell'AAL.
La tesi propone l'uso dell'Ingegneria del Software Orientata agli Agenti e della Programmazione Orientata agli Agenti per tutte le fasi di sviluppo di sistemi intelligenti per la gestione di ambienti assistivi, come le smart home. Le proprietà tipiche dei Sistemi Multi-Agente, come definite nella letteratura relativa all'Intelligenza Artificiale, permettono di costruire sistemi modulari e interoperabili, adatti per la gestione di reti di sensori e attuatori. Un contributo di questa tesi è la "Virtual Carer", un Sistema Multi-Agente basato sul paradigma Belief-Desire-Intention per la gestione di una smart home e del monitoraggio della salute di un assistito.
Inoltre, la tesi raccomanda l'uso di serious game per aumentare la consapevolezza degli utenti finali verso le tecnologie abilitanti dell'AAL. La tesi presenta "Smart Tales", un awareness game basato sulla virtualizzazione di una smart home. L'obiettivo è promuovere l’AAL e le sue tecnologie presso il pubblico. In Smart Tales, il giocatore impersona un abitante di una smart home che è scettico sui dispositivi nella propria casa e che tenta di ingannare i sensori presenti. Durante il gioco, l'utente ottiene il contenuto informativo sull'AAL e ne impara le basi. Questa tesi presenta anche una valutazione formativa del gioco, eseguita con dieci utenti: i risultati sull'efficacia dell'apprendimento e sull'usabilità del gioco sono incoraggianti
Combining Large Language Models and ontologies to build a collaborative learning digital environment
No full textCombining Artificial Intelligence and NetMedicine for Ambient Assisted Living: A distributed BDI-based expert system
No full textWorld population is shifting towards older ages: according to recent estimates there will be 1.5 billion people over 65 years old in 2050. Local governments, international institutions, care organizations and industry are fostering the research community to find solutions to face the unprecedented challenges raised by population ageing. A combination of Artificial Intelligence and NetMedicine could be ideal to face these challenges: they provide the means to develop an intelligent system and simultaneously to distribute it over a network, allowing the communication over the internet, if needed. Hence, the authors present a Multi-Agent Architecture for Ambient Assisted Living (AAL): it is the model for a system to manage a distributed sensor network composed by ambient and biometric sensors. The system should analyse data and pro-active ly decide to trigger alarms if anomalies are detected. The authors tested the architecture implementing a prototypical Multi-Agent System (MAS), based on Belief-Desire-Intention (BDI) paradigm: the Virtual Care
When rationality entered time and became a real agent in a cyber-society
No full textSince Artificial Intelligence (AI) applications became mature, there has been growing interest in employing them into complex real equipment, especially in order to implement “Cyber-Physical Systems” (CPS). Since its dawn as a discipline, AI focused on simulating and reproducing human-like mental processes using formal structures, chasing the high-quality of reasoning. However, with the challenges posed by CPS, AI needs to take into account concrete real “timing performances” in addition to abstract reasoning about “time”. The AI definition of “intelligent agent” seems to perfectly apply to CPS. Nevertheless, to be real, intelligent agents need to deal with, reason about and act in time. This paper motivates such needs by deriving the roots of the definition of Real-Time Agent in Philosophy, Control Theory, and AI. Moreover, some examples are provided to demonstrate why Real-Time agents are required in the “real world” of CPS. The paper concludes listing the desiderata of Real-Time Agents, wishing for the convergence of Multi-Agents Systems and Real-Time Systems
Personalized adaptation in pervasive systems via non-functional requirements
No full textPervasive environments are socio-technical systems that support the daily routines of their users in an invisible and unobtrusive manner. These systems are aware of and adapt to both the operational context and the characteristics and preferences of their users. Designing adaptation mechanisms that guarantee maximal user satisfaction is challenging, due to the inherent differences between users and the changing context where the system operates. In order to tackle this problem, we propose an approach that compares alternative system behaviors in terms of how well they satisfy the preferences of the current user concerning Non-Functional Requirements (NFRs) such as efficiency, comfort, energy saving, etc. Specifically, we propose a model-driven framework in which the models represent the user routines that the pervasive system helps to achieve. These routines include variability points, thereby enabling their behavior to be adapted at runtime in order to fit the context and the user preferences over NFRs. Our contributions include: (1) user-adaptive task models, a modeling language to describe user routines that accounts for user preferences over NFRs; (2) algorithms that use our models at runtime to guide a pervasive system in adapting its behavior to user preferences and context; and (3) an implementation and evaluation of our techniques.status: Publishe
Towards multi-agent Health Information Systems
No full textOne of the key challenges in the healthcare sector is to adapt Health Information Systems to requirements coming from changing societies. In recent years, governments and international healthcare organizations defined a series of requirements for new generation Health Information Systems: they have to preserve past investments on legacy systems, but must also integrate new technologies, include the patient among their users, and ensure that clinical information are available at all times, even in places far from where information are physically stored. This paper proposes a multi agent-oriented architecture for Health Information Systems, which uses international standards for communication and management of clinical documents. The architecture tries to effectively model a generic healthcare organization, and aims at being easily extensible and adaptable to the particularities of specific healthcare systems. The authors present two experimental scenarios to test the proposed multi-agent health information system. In the first, they show how to model a specific use case, a radiology workflow, using agents and well-known standards; in the second one the authors demonstrate how a mobile application can use the services provided by the agents to support the medical staff in an emergency situation
Interpretazione/Interpretation. Sistemi di elaborazione delle informazioni/Information processing systems
No full textLibertà/Liberty (or Freedom). Sistemi di elaborazione delle informazioni/Information processing systems
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