CIIT Lab UNISA

12/10/2026

Il Prof. Antonio Lieto è stato incluso nella classifica Stanford 2026 relativa al 2% dei migliori scienziati al mondo per l'impatto dell'intera carriera/Prof. Antonio Lieto included in the 2026 Stanford List of Top 2% Scientists for the “career-long” impact (ENGLISH below):

Per il secondo anno consecutivo il prof. Antonio Lieto, direttore del laboratorio .unisa di , è inserito nella lista dei “Top 2% Scientists” dell'Università di Stanford basata su dati Scopus/Elsevier. Per la prima volta rientra nel top 2% della sua area di ricerca (Artificial Intelligence) prendendo in considerazione l’impatto scientifico dell’intera carriera e non solo quello dell'anno solare precedente. Maggior informazioni qui: https://www.ciitlab.org/prof-antonio-lieto-included-in-the-2026-stanford-list-of-top-2-scientists-for-the-career-long-impact/

EN: For the second consecutive year, the Director of CIIT Lab, Cognition Interaction and Intelligent Technologies Laboratory, prof. Antonio Lieto, has been included in Stanford University’s “Top 2% Scientists” list, based on Scopus/Elsevier data.
For the first time, he was ranked within the top 2% of his research field (i.e. Artificial Intelligence) in the “career-long” list, that takes into account the overall scientific impact considering the data of the entire career compared to the ones of the other researchers of the field.
Read more on https://www.ciitlab.org/prof-antonio-lieto-included-in-the-2026-stanford-list-of-top-2-scientists-for-the-career-long-impact/



Università degli Studi di Salerno Comunicazione Unisa

07/10/2026

Over the coming years at the CIIT Lab UNISA we'll be focused on an ambitious, interdisciplinary research project alongside top-tier researchers.

The PRIN project "Human and Artificial Intelligence in a Dynamic World: A Multidisciplinary Approach" was selected for funding with 1M Euros by the MUR (out of which 282K will be for the Università degli Studi di Salerno unit led by Prof. Antonio Lieto), ranking second in its category:https://www.mur.gov.it/sites/default/files/2026-10/SH4_Tabella_B_Progetti%20finanziati.pdf

This project will lead to a better understanding of what distinguishes humans from current artificial intelligence systems, while providing concrete insights into how to design better systems capable of going "beyond problem solving" (the title of a recent preprint: https://lnkd.in/e-fh9H5F).

In the coming months, open positions will be available at the CIIT Lab (Cognition, Interaction, and Intelligent Technologies Laboratory) focusing on cognitive architectures and computational models of cognition. As the saying goes: stay tuned!

02/10/2026

📚 News: The preprint "Beyond problem solving: Adaptive reframing in human and artificial intelligence" by Valerio Capraro, Antonio Lieto, Francesco Rea, Giulio Sandini, Alessandra Sciutti, Vittorio Gallese and Walter Quattrociocchi is now out at: https://osf.io/preprints/psyarxiv/5xame_v1

Abstract:
Research on human and artificial intelligence has largely focused on problem solving: given a predefined problem, can an agent produce an effective solution? Yet many real-world challenges cannot be captured by a fixed problem representation. They require agents not only to solve problems, but also to recognize when the original problem representation has become inadequate and must be revised to reflect new evidence or changes in the problem itself. We argue that this capacity, termed adaptive reframing, constitutes a fundamental but under-researched dimension of intelligence. We propose a multidisciplinary framework for studying adaptive reframing across neuroscience, cognitive science, robotics, experimental economics and psychology, and complex systems. Adaptive reframing is defined as the capacity to revise the construction of a problem in response to changing evidence, causal structure, or social context. To support a systematic science of adaptive reframing, we introduce three complementary paradigms: the Dynamic Scenario Framing Task, the Perturbed Causal Model Task, and the Social-Affective Problem Setting Task. These paradigms provide a common framework for comparing humans and artificial agents in situations requiring problem reframing, and for building architecture-enhanced AI systems. We propose a shift from problem solving to adaptive problem framing as a central focus of intelligence research.

PDF: https://osf.io/preprints/psyarxiv/5xame_v1

11/09/2026

🇮🇹 Nel corso della 22.ma Conferenza Annuale della Associazione Italiana di Scienze Cognitive, il lavoro "Una lettura metascientifica del problema della plausibilità cognitiva dei sistemi artificiali" di Alessio Donvito (Università di Bari, membro esterno CIIT Lab) e Antonio Lieto (direttore del CIIT Lab UNISA) ha vinto il Premio Vittorio Girotto per il "Best Paper AISC"

Il premio Vittorio Girotto per il Best Paper AISC premia il miglior contributo presentato alla conferenza annuale dell’Associazione Italiana di Scienze Cognitive.

Un preprint dell'articolo (in corso di pubblicazione su Sistemi Intelligenti, Il Mulino) è disponibile qui:https://philpapers.org/archive/DONULM.pdf

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🇬🇧
During the 22nd Annual Conference of the Italian Association for Cognitive Science, the paper "A Metascientific Reading of the Problem of Cognitive Plausibility in Artificial Systems" by Alessio Donvito (University of Bari, external member of CIIT Lab) and Antonio Lieto won the Vittorio Girotto Award for the "Best Paper AISC."

The Vittorio Girotto Award for the Best Paper AISC recognizes the best contribution presented at the annual conference of the Italian Association for Cognitive Science.

A preprint of the article (forthcoming in *Sistemi Intelligenti*, Il Mulino) is available here:https://philpapers.org/archive/DONULM.pdf



Università degli Studi di Salerno

07/09/2026

September is going to be a busy month for the CIIT Lab UNISA research group! 🍂

Over the next few weeks, work from our group will be presented at 3 conferences across spanning cognitive science, computational linguistics and AI

📍 Turin | 9–11 September
AISC 2026 – 22nd Annual Conference of the Italian Association for Cognitive Science
work presented by Matteo Da Pelo and Alessio Donvito, on the LAPITHS framework for a cognitively grounded (and "hype-free") interpretation of Large Language Models - extended work here: https://arxiv.org/pdf/2604.27927 - and by Stefano Zoia on the latest developments of the METcl system for metaphor identification and generation - continuation from:https://www.ijcai.org/proceedings/2025/1146.pdf .
https://www.aisc2026.com/

📍 Mérida, Yucatan, Mexico| 9–12 September
BICA*AI 2026 – the 17th International Conference of the Biologically Inspired Cognitive Architectures, Keynote talk by Antonio Lieto on the latest applications and extensions of the Minimal Cognitive Grid (introduced in the book Cognitive Design for Artificial Minds https://doi.org/10.4324/9781315460536

📍 Palermo | 14–16 September
CLiC-it 2026 – Twelfth Italian Conference on Computational Linguistics
work by Nicola Cirillo on metaphor-based summarizations
https://clic2026.unipa.it/

Stay tuned for more info on these research topics!

07/09/2026

September is going to be a busy month for the CIIT Lab UNISA research group! 🍂

Over the next few weeks, work from our group will be presented at 3 conferences across spanning cognitive science, computational linguistics and AI

📍 Turin | 9–11 September
AISC 2026 – 22nd Annual Conference of the Italian Association for Cognitive Science
work presented by Matteo Da Pelo and Alessio Donvito, on the LAPITHS framework for a cognitively grounded (and "hype-free") interpretation of Large Language Models - extended work here: https://arxiv.org/pdf/2604.27927 - and by Stefano Zoia on the latest developments of the METcl system for metaphor identification and generation - continuation from:https://www.ijcai.org/proceedings/2025/1146.pdf .
https://www.aisc2026.com/

📍 Mérida, Yucatan, Mexico| 9–12 September
BICA*AI 2026 – the 17th International Conference of the Biologically Inspired Cognitive Architectures, Keynote talk by Antonio Lieto on the latest applications and extensions of the Minimal Cognitive Grid (introduced in the book Cognitive Design for Artificial Minds https://doi.org/10.4324/9781315460536

📍 Palermo | 14–16 September
CLiC-it 2026 – Twelfth Italian Conference on Computational Linguistics
work by Nicola Cirillo on metaphor-based summarizations
https://clic2026.unipa.it/

Stay tuned for more info on these research topics!

09/08/2026

Su Il Mattino di oggi si parla della piattaforma CHeCLOUD, la prima piattaforma globale di Linked Open Data Cloud interamente dedicata al patrimonio storico e artistico
(disponibile qui https://lnkd.in/dumFQWBh ) e presentata in un lavoro sulla rivista Semantic Web https://lnkd.in/d9hhXE6Y).

Il progetto, frutto di 2 anni di lavoro, racconta anche della collaborazione tra 2 laboratori informatici dell'Università degli Studi di Salerno: il CIIT Lab del poli (rappresentato da Antonio Lieto) e ISISLab del Dip. di Informatica, UniSa (rappresentato dai ricercatori Maria Angela Pellegrino e Gabriele Tuozzo).

15/07/2026

Il Prof. Antonio Lieto, direttore del CIIT Lab UNISA è stato intervistato per l'ELIZA Research Center sui temi della sua ricerca a cavallo tra Intelligenza Artificiale e Scienze Cognitive. L'intervista è disponibile qui: https://www.youtube.com/watch?v=jc5CAx-vKIo

15/07/2026

Si parla del lavoro di ricerca che ha lanciato CHeCLOUD https://checloud.di.unisa.it : il primo Cultural Heritage Linked Open Data Cloud in grado non solo di integrare - su scala globale - i dati culturali di musei, biblioteche e archivi ma anche di offrire una diagnosi automatica sulla qualità dei dati stessi esposti dagli enti culturali.

La diagnosi avviene tramite un processo automatizzato basato sull'intelligenza artificiale che valuta se i dati rispettino i quattro requisiti fondamentali della gestione digitale: rintracciabilità, accessibilità, interoperabilità e riutilizzabilità.

La piattaforma nasce dalla collaborazione tra i laboratori CIIT Lab (del Dipartimento di Scienze Politiche e Comunicazione PoliCom - Unisa) e (del Dipartimento di Informatica) dell' Università di Salerno Università di Salerno.

Il rilievo scientifico del progetto è stato sancito dalla recente pubblicazione sulla rivista internazionale "Semantic Web", punto di riferimento per il web intelligente e i grafi di conoscenza.

Paper: https://www.semantic-web-journal.net/content/fairness-checloud-cultural-heritage-linked-open-data-cloud-0
Autori: Antonio Lieto, Maria Angela Pellegrino, Gabriele Tuozzo.
Web: https://checloud.di.unisa.it/

Su SalernoToday: https://www.salernotoday.it/formazione/universita/unisa-ricerca-CHeCLOUD-intelligenza-artificiale-arte-cultura.html

Su SalernoNotizie: https://www.salernonotizie.it/2026/07/15/una-nuvola-globale-per-il-patrimonio-culturale-alluniversita-di-salerno-nasce-checloud/

15/07/2026

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Stampa Il patrimonio culturale non vive più soltanto nei musei, negli archivi, nelle biblioteche o nei monumenti. Oggi vive anche nei dati: cataloghi digitali, schede descrittive, fotografie, mappe, inventari, collezioni online. Una ricchezza immensa, ma spesso frammentata in sistemi diversi e diff...