Per anno

@incollection{dalt-woa25y,
    address = {Cham},
    apice = {DaltWoa25Y},
    author = {Davide Ancona and Daniela Briola and Angelo Ferrando and Maurizio Martelli and Viviana Mascardi},
    booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
    chapter = 11,
    doi = {10.1007/978-3-032-22940-3_11},
    editor = {Mascardi, Viviana and Omicini, Andrea},
    eisbn = {978-3-032-22940-3},
    eissn = {1611-3349},
    isbn = {978-3-032-22939-7},
    issn = {0302-9743},
    month = apr,
    numpages = 33,
    pages = {287--319},
    publisher = {Springer Nature Switzerland},
    series = {Lecture Notes in Computer Science},
    subseries = {State-of-the-Art Survey},
    title = {25 Years of Declarative Agent Technologies in Italy},
    url = {https://link.springer.com/10.1007/978-3-032-22940-3_11},
    urlopenaccess = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3_11.pdf},
    volume = 16395,
    year = 2026
}

@incollection{vesna-eumas2025,
    apice = {VesnaEumas2025},
    author = {Briola, Daniela and Vizzari, Giuseppe and Mirra, Giuseppe and Gatti, Andrea and Mascardi, Viviana},
    booktitle = {Multi-Agent Systems: 22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3--5, 2025, Proceedings, Part I},
    chapter = 6,
    doi = {10.1007/978-3-032-22817-8_6},
    editor = {Baldoni, Matteo and Klügl, Franziska and Olaru, Andrei and Sorici, Alexandru and Florea, Adina Magda},
    eisbn = {978-3-032-22817-8},
    eissn = {1611-3349},
    isbn = {978-3-032-22816-1},
    issn = {0302-9743},
    keywords = {Multiagent Systems, Virtual Reality, Virtual Humans, Realistic Simulation, Unity, JaCa-Unity, VEsNA},
    month = jul,
    numpages = 20,
    pages = {86--105},
    publisher = {Springer Cham},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    title = {Integrating {JaCa-Unity} in {VEsNA} for Behavioural Realistic {VR} Simulations},
    url = {https://link.springer.com/10.1007/978-3-032-22817-8_6},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22817-8_6.pdf},
    volume = 16528,
    year = 2025
}

@inproceedings{kqmls-emas2025,
    address = {Cham},
    apice = {KqmlsEmas2025},
    author = {Ferrando, Angelo and Gatti, Andrea and Mascardi, Viviana},
    booktitle = {Engineering Multi-Agent Systems: 13th International Workshop, EMAS 2025, Detroit, MI, USA, May 19–20, 2025, Revised Selected Papers},
    chapter = 10,
    doi = {10.1007/978-3-032-18011-7_10},
    editor = {Rodriguez, Sebastian and Feng, Lu and M{\"u}ller, J{\"o}rg P.},
    eisbn = {978-3-032-18011-7},
    isbn = {978-3-032-18010-0},
    keywords = {Belief-Desire-Intention, KQML, Situated Communication, Virtual Communication Spaces, VEsNA},
    month = feb,
    numpages = 20,
    pages = {157--176},
    publisher = {Springer Nature Switzerland},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    title = {Oops, I Heard That! Situated Communication with Locality-Aware {KQML}},
    url = {https://link.springer.com/10.1007/978-3-032-18011-7_10},
    volume = 16407,
    year = 2025
}

@book{galimberti2026,
    abstract = {La verità non si insegna, ma la si scopre. In un tempo in cui tutto è rappresentazione, dire il vero è diventato un atto sovversivo.},
    address = {Milano},
    apice = {Galimberti2026},
    author = {Galimberti, Umberto},
    edition = {5th},
    isbn = {9788807092060},
    month = jan,
    publisher = {Giangiacomo Feltrinelli Editore},
    series = {Idee},
    title = {Le disavventure della verità},
    url = {https://www.feltrinellieditore.it/opera/le-disavventure-della-verita-1/},
    year = 2026
}

@article{unfairinequality-scidata,
    abstract = {This paper introduces a novel benchmark dataset designed to support fairness-oriented research in artificial intelligence within the educational domain. The dataset originates from longitudinal survey data collected by the Agencia Canaria de Calidad Universitaria y Evaluación Educativa, encompassing comprehensive information from students, families, and teachers across the Canary Islands, Spain. It includes detailed student profiles and academic trajectories, covering multiple years of academic performance outcomes. The original data is characterised by a high-dimensional and sparse feature space, which presents challenges for direct application in AI workflows. To address these challenges while minimising the risk of introducing bias during preprocessing, we provide a curated version of the dataset specifically tailored for AI applications. This version preserves the statistical properties of the original data and is accompanied by detailed documentation of the preprocessing steps, including strategies for dimensionality reduction and fairness preservation. The dataset is intended as a resource for the research community, enabling studies on fairness, predictive modeling, and educational analytics. We describe its structure, content, and preparation process.},
    apice = {UnfairinequalityScidata},
    articleno = 572,
    author = {Joseph Giovanelli and Magnini, Matteo and Ciatto, Giovanni and Angel S. Marrero and Andrea Borghesi and Gustavo A. Marrero and Calegari, Roberta},
    doi = {10.1038/s41597-026-06827-x},
    issn = {2052-4463},
    journal = {Scientific Data},
    month = mar,
    note = {Data Descriptor},
    numpages = 12,
    openalex = {W7133213904},
    publisher = {Nature Portfolio / Springer Nature},
    pubmed = {41771897},
    title = {Unfair Inequality in Education: A Benchmark for AI-Fairness Research},
    url = {https://doi.org/10.1038/s41597-026-06827-x},
    urlopenaccess = {https://doi.org/10.1038/s41597-026-06827-x},
    volume = 13,
    year = 2026
}

@inproceedings{nl2unifol-skilledllm2026,
    abstract = {Automatic translation of Natural Language (NL) sentences into logic representation – such as First-Order Logic (FOL) formulae – is a task of great interest for many communities, including Knowledge Representation (KR), Natural Language Processing (NLP), normative Artificial Intelligence (AI), and AI in general. Recently, an increasing number of works have explored the use of Large Language Models (LLMs) to translate NL into FOL, with promising results. However, existing works mostly focus on the translation of a single NL sentence at a time, resulting in independent formulae that do not share a common predicate and constant name space. This work presents a new framework – namely Natural Language to Uniform First Order Logic (NL2UNIFOL) – that leverages LLMs to translate NL sentences into a uniform FOL theory, where formulae share the same vocabulary. NL2UNIFOL is an end-to-end pipeline that: (i) translates NL sentences into preliminary FOL formulae; (ii) identifies and safely merges predicate and constant names to obtain a uniform vocabulary; (iii) finally generates the final FOL theory. We use NL-FOL pairs from the MALLS dataset to validate our framework. Results show that in the majority of cases NL2UNIFOL is able to correctly create clusters of predicate and constant names to be merged together, which allows to obtain a uniform FOL theory. We also recognise that there are still a numerous amount of cases in which the represented name and the representative name semantically diverge, which motivates future work to further improve the symbol clustering process.},
    apice = {Nl2unifolSkilledllm2026},
    author = {Magnini, Matteo and Davide Liga and Luca Pasetto},
    booktitle = {Proceedings of the Joint Workshop on Statistics and Knowledge Integration for Logic, Learning, Ethical Decisions, and LLMs (SKILLED-LLMs 2026) co-located with the Federated Logic Conference 2026 (FLoC 2026), Lisbon, Portugal, July 18, 2026},
    dblp = {conf/skilled-llms/MagniniLP26},
    editor = {Ha Thanh Nguyen and Francesca Toni and Kostas Stathis and Ken Satoh and Randy Goebel and Francesco Chiariello and Yves Lespérance and Magnini, Matteo and Sabbatini, Federico and Elena Umili and Nourhan Ehab and Mervat Abu-Elkheir},
    issn = {1613-0073},
    keywords = {Natural Language Processing, First-Order Logic, Large Language Models, Knowledge Representation},
    numpages = 18,
    pages = {126--143},
    publisher = {Sun SITE Central Europe, RWTH Aachen University},
    series = {CEUR Workshop Proceedings},
    title = {NL2UNIFOL: From Natural Language Sentences to Uniform First-Order Logic Formulae},
    url = {https://ceur-ws.org/Vol-4229/paper13.pdf},
    urlopenaccess = {https://ceur-ws.org/Vol-4229/paper13.pdf},
    urlpdf = {https://ceur-ws.org/Vol-4229/paper13.pdf},
    volume = 4229,
    year = 2026
}

@proceedings{aamas2026,
    booktitle = {Proceedings of the 2026 International Conference on Autonomous Agents and Multiagent Systems},
    doi = {10.65109/alzn5231},
    editor = {Viviana Mascardi and John Thangarajah and Chris Amato and Louise A. Dennis},
    isbn = {979-8-4007-2317-9},
    issn = {2523-5699},
    note = {25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), Paphos, Cyprus, 25-29 May 2026},
    publisher = {ACM},
    title = {Proceedings of the 2026 International Conference on Autonomous Agents and Multiagent Systems},
    url = {https://www.ifaamas.org/Proceedings/aamas2026/},
    year = 2026
}

@inproceedings{slmmobiledevices-percomworkshops2026,
    abstract = {Large language models (LLMs) are increasingly being adopted across diverse healthcare scenarios. However, their deployment on mobile devices is hindered by significant resource demands and privacy concerns associated with cloud-based solutions. Ensuring reliable, private, and accessible healthcare support on mobile devices requires models that are both performant and lightweight. Therefore, small language models (SLMs) present a promising solution for enabling on-device healthcare support. This study explores the trade-offs between model size and performance necessary to effectively execute general medical question-answering tasks on mobile devices. To evaluate this, we present MedicoAI, a cross-platform application designed to support local SLMs inference across mobile, web, and desktop environments. We evaluated four state-of-the-art SLMs with model sizes under 1GB using two prompt templates (a standard baseline and one with medical safety constraints) and three word-limit configurations. Our findings highlight the viability of deploying SLMs for medical question-answering on mobile devices while maintaining user privacy and resource efficiency.},
    apice = {SlmmobiledevicesPercomworkshops2026},
    author = {Aqila Farahmand and Montagna, Sara and Alessandro Bogliolo and Stefano Ferretti and Magnini, Matteo},
    booktitle = {2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
    dblp = {conf/percom/FarahmandMBFM26},
    doi = {10.1109/PerComWorkshops68308.2026.11585382},
    isbn = {979-8-3315-7615-8},
    keywords = {Small Language Models, Mobile Health, Patient Self-Management, Local Models, Privacy-preserving},
    month = {16-20 March},
    note = {5th International Workshop on Telemedicine and e-Health in the digital society (TELMED 2026)},
    numpages = 6,
    openalex = {W7167064743},
    pages = {1--6},
    publisher = {IEEE},
    title = {Performant and Small: Can We Have Both? SLMs on Mobile Devices for Healthcare Chatbots},
    url = {https://ieeexplore.ieee.org/document/11585382},
    urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11585382},
    year = 2026
}

@article{bdidesimulation-jaamas40,
    abstract = {Multi-agent systems are designed to deal with open, distributed systems with unpredictable dynamics, which makes them inherently hard to test. The value of using simulation for this purpose is recognized in the literature, although achieving sufficient fidelity (i.e., the degree of similarity between the simulation and the real-world system) remains a challenging task. This is exacerbated when dealing with cognitive agent models, such as the Belief Desire Intention (BDI) model, where the agent codebase is not suitable to run unchanged in simulation environments, thus increasing the reality gap between the deployed and simulated systems. We argue that BDI developers should be able to test in simulation the same specification that will be later deployed, with no surrogate representations. Thus, in this paper, we discuss how the control flow of BDI agents can be mapped onto a Discrete Event Simulation (DES), showing that such integration is possible at different degrees of granularity. We substantiate our claims by producing an open-source prototype integration between two pre-existing tools (JaKtA and Alchemist), showing that it is possible to produce a simulation-based testing environment for distributed BDI agents, and that different granularities in mapping BDI agents over DESs may lead to different degrees of fidelity.},
    apice = {BdidesimulationJaamas40},
    articleno = 18,
    author = {Martina Baiardi and Samuele Burattini and Ciatto, Giovanni and Pianini, Danilo},
    dblp = {journals/aamas/BaiardiBCP26.bib},
    doi = {10.1007/S10458-026-09744-W},
    journal = {Autonomous Agents and Multi-Agent Systems},
    keywords = {BDI agents, BDI models, Beliefs-desires-intentions, Multi-agent systems engineering, Discrete event simulation, Software testing},
    number = 1,
    title = {Testing {BDI}-based multi-agent systems using discrete event simulation},
    url = {https://doi.org/10.1007/s10458-026-09744-w},
    volume = 40,
    year = 2026
}

@incollection{aiinfrastructure-woa25y,
    address = {Cham},
    apice = {AIinfrastructureWoa25Y},
    author = {Omicini, Andrea and Ricci, Alessandro and Mascardi, Viviana},
    booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
    chapter = 14,
    doi = {10.1007/978-3-032-22940-3_14},
    editor = {Mascardi, Viviana and Omicini, Andrea},
    eisbn = {978-3-032-22940-3},
    eissn = {1611-3349},
    iris = {11585/1061410},
    isbn = {978-3-032-22939-7},
    issn = {0302-9743},
    keywords = {AI Infrastructure, Multi-Agent Systems, Open Science, Neurosymbolic AI, Internet of Intelligent Things, Digital Divide, Public Interest, AI & Democracy},
    lens = {134-902-512-206-072},
    month = apr,
    numpages = 19,
    openalex = {W7156169592},
    pages = {366--384},
    publisher = {Springer Nature Switzerland},
    scholar = {1191563069145688993},
    scopus = {2-s2.0-105041212110},
    series = {Lecture Notes in Computer Science},
    subseries = {State-of-the-Art Survey},
    title = {{AI} Infrastructure: From Gigastructure to Edge Intelligence with Multi-Agent Systems},
    url = {https://link.springer.com/10.1007/978-3-032-22940-3_14},
    urlopenaccess = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3_14.pdf},
    volume = 16395,
    year = 2026
}

@article{DBLP:journals/envsoft/HermosillaWWCCCGBF26,
  author       = {Txomin Hermosilla and
                  Michael A. Wulder and
                  Joanne C. White and
                  Nicholas C. Coops and
                  Daniel Coelho and
                  Giovanni Ciatto and
                  Noel Gorelick and
                  Emma Bambagioni and
                  Saverio Francini},
  title        = {Composite2Change {(C2C)} on Google Earth Engine: Time-series change
                  detection and metrics characterizing disturbance and recovery},
  journal      = {Environ. Model. Softw.},
  volume       = {204},
  pages        = {107082},
  year         = {2026},
  url          = {https://doi.org/10.1016/j.envsoft.2026.107082},
  doi          = {10.1016/J.ENVSOFT.2026.107082},
  timestamp    = {Wed, 09 Sep 2026 18:14:13 +0200},
  biburl       = {https://dblp.org/rec/journals/envsoft/HermosillaWWCCCGBF26.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{meditate-emas2025,
    address = {Cham},
    apice = {MeditateEmas2025},
    author = {Ferrando, Angelo and Gatti, Andrea and Mascardi, Viviana},
    booktitle = {Engineering Multi-Agent Systems},
    doi = {10.1007/978-3-032-18011-7_8},
    editor = {Rodriguez, Sebastian and Feng, Lu and M{\"u}ller, J{\"o}rg P.},
    isbn = {978-3-032-18011-7},
    keywords = {MEDiTATe, Deep Talk, Small Talk, Neuroscience, Mind, Emotions, Beliefs-Desires-Intentions, BDI, Cognitive Agents, Jason},
    pages = {117--140},
    publisher = {Springer Nature Switzerland},
    subtitle = {13th International Workshop, EMAS 2025, Detroit, MI, USA, May 19--20, 2025, Revised Selected Papers},
    title = {{MEDiTATe}: a First Step of a Journey from {BDI} to Neuroscience, and Back},
    url = {https://link.springer.com/10.1007/978-3-032-18011-7_8},
    year = 2025
}

@article{sweeterlesson-acm69,
    apice = {SweeterlessonAcm69},
    author = {Moshe Y. Vardi},
    doi = {10.1145/3834767},
    eissn = {1557-7317},
    issn = {0001-0782},
    journal = {Communications of the ACM},
    month = sep,
    number = 9,
    pages = {7},
    title = {The Sweeter Lesson},
    url = {https://cacm.acm.org/opinion/the-sweeter-lesson/},
    volume = 69,
    year = 2026
}

@misc{bunsun-iainews09062026,
    abstract = {The article argues that AI language models, despite their impressive capabilities, cannot truly contain truth like human language. Drawing on the philosophical insights of Foucault and Heidegger, it highlights the limitations of AI discourse. Foucault emphasises the role of empathy and meaning in human language, while Heidegger's analysis of authentic discourse exposes AI's inability to stake its existence on its words.},
    apice = {BunsunIainews2026},
    author = {Bun-Sun Kim and Hongjoon Jo},
    howpublished = {IAI News},
    month = jun,
    organization = {The Institute of Art and Ideas},
    title = {{AI} is incapable of telling the truth},
    url = {https://iai.tv/articles/ai-is-incapable-of-telling-the-truth-auid-3593},
    year = 2026
}

@article{eumas2025-partII,
    apice = {Eumas2025-II},
    booktitle = {Multi-Agent Systems: 22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part II},
    doi = {10.1007/978-3-032-22820-8},
    editor = {Matteo Baldoni and Franziska Klügl and Andrei Olaru and Alexandru Sorici and Adina Magda Florea},
    eisbn = {978-3-032-22820-8},
    eissn = {1611-3349},
    isbn = {978-3-032-22819-2},
    issn = {0302-9743},
    keywords = {Distributed Artificial Intelligence, Multi-Agent Systems, Multi-Agent Learning, Intelligent Agents, Engineering and Analysis of Multi-Agent Systems, Agent-Based Simulation, Simulation Tools, Agent / discrete models, Human-Agent Interaction, Computational Social Choice, Modal and Temporal Logics, Voting Strategies, Multi-Agent Planning, Cooperation and Coordination, Mobile agents, Reinforcement Learning, Multi-agent reinforcement learning, Algorithmic game theory and mechanism design},
    month = aug,
    publisher = {Springer Cham},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    subtitle = {22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part I},
    title = {Multi-Agent Systems},
    url = {https://link.springer.com/10.1007/978-3-032-22820-8},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22820-8.pdf},
    volume = 16259,
    year = 2026
}

@incollection{agentgenai-eumas2025,
    apice = {AgentgenaiEumas2025},
    author = {Ferrando, Angelo and Briola, Daniela and Collier, Rem W. and Mascardi, Viviana},
    booktitle = {Multi-Agent Systems: 22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3--5, 2025, Proceedings, Part I},
    chapter = 9,
    doi = {10.1007/978-3-032-22817-8_9},
    editor = {Baldoni, Matteo and Klügl, Franziska and Olaru, Andrei and Sorici, Alexandru and Florea, Adina Magda},
    eisbn = {978-3-032-22817-8},
    eissn = {1611-3349},
    isbn = {978-3-032-22816-1},
    issn = {0302-9743},
    keywords = {Agentic AI, BDI Agents, Hybrid Reasoning, Neuro-Symbolic Architecture},
    month = jul,
    numpages = 21,
    pages = {142--162},
    publisher = {Springer Cham},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    title = {Agency and Generation: Friends or Enemies?},
    url = {https://link.springer.com/10.1007/978-3-032-22817-8_9},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22817-8_9.pdf},
    volume = 16528,
    year = 2025
}

@proceedings{adbis2026,
    apice = {Adbis2026},
    booktitle = {Advances in Databases and Information Systems: 30th European Conference, ADBIS 2026, Orl\'{e}ans, France, September 28 -- October 1, 2026, Proceedings},
    doi = {10.1007/978-3-032-39820-8},
    editor = {Genoveva Vargas-Solar and Kostas Stefanidis and Themis Palpanas and Patrick Marcel and Mirian Halfeld-Ferrari},
    eisbn = {978-3-032-39820-8},
    eissn = {1611-3349},
    isbn = {978-3-032-39819-2},
    issn = {0302-9743},
    keywords = {information systems, data management systems, query processing, access methods, data exploration, data science, fairness, data quality, machine learning, large language models},
    month = sep,
    numpages = {XVIII, 458},
    openalex = {W7214394365},
    publisher = {Springer},
    series = {Lecture Notes in Computer Science},
    subtitle = {30th European Conference, ADBIS 2026, Orl\'{e}ans, France, September 28 -- October 1, 2026, Proceedings},
    title = {Advances in Databases and Information Systems},
    url = {https://link.springer.com/10.1007/978-3-032-39820-8},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-39820-8.pdf},
    volume = 16937,
    year = 2026
}

@incollection{neurosymbolic-woa25y,
    address = {Cham},
    apice = {NeurosymbolicWoa25Y},
    author = {Agiollo, Andrea and Calegari, Roberta and Ciatto, Giovanni and Magnini, Matteo and Omicini, Andrea and Sabbatini, Federico},
    booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
    chapter = 12,
    doi = {10.1007/978-3-032-22940-3_12},
    editor = {Mascardi, Viviana and Omicini, Andrea},
    eisbn = {978-3-032-22940-3},
    eissn = {1611-3349},
    iris = {11585/1061411},
    isbn = {978-3-032-22939-7},
    issn = {0302-9743},
    keywords = {Rational Agents, Logic Programming, Multi-agent Systems, Symbolic-Subsymbolic Integration},
    lens = {028-851-073-271-306},
    month = apr,
    numpages = 20,
    openalex = {W7155969644},
    pages = {320--339},
    publisher = {Springer Nature Switzerland},
    scholar = {21797340038813643},
    scopus = {2-s2.0-105041239279},
    series = {Lecture Notes in Computer Science},
    subseries = {State-of-the-Art Survey},
    title = {Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration},
    url = {https://link.springer.com/10.1007/978-3-032-22940-3_12},
    urlopenaccess = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3_12.pdf},
    volume = 16395,
    year = 2026
}

@inbook{vesna-amasdevbook2026,
    address = {Cham},
    apice = {VesnaAmasdevBook2026},
    author = {Ferrando, Angelo and Gatti, Andrea and Mascardi, Viviana},
    booktitle = {Agents and Multi-Agent Systems Development: Platforms, Toolkits, Technologies},
    doi = {10.1007/978-3-032-01082-7_11},
    editor = {Collier, Rem and Mascardi, Viviana and Ricci, Alessandro},
    isbn = {978-3-032-01082-7},
    pages = {289--322},
    publisher = {Springer Nature Switzerland},
    series = {Lecture Notes in Computer Science},
    title = {Integrating Virtual Reality, Chatbots, and BDI Agents: {VEsNA} Goes Fast!},
    url = {https://link.springer.com/10.1007/978-3-032-01082-7_11},
    volume = 16395,
    year = 2026
}

@book{book-woa25y,
    address = {Cham},
    apice = {BookWoa25Y},
    booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
    doi = {10.1007/978-3-032-22940-3},
    editor = {Mascardi, Viviana and Omicini, Andrea},
    eisbn = {978-3-032-22940-3},
    eissn = {1611-3349},
    iris = {11585/1061430},
    isbn = {978-3-032-22939-7},
    issn = {0302-9743},
    keywords = {Open Access, Agentic AI, Agents, Agent Systems, Multiagent Systems (MAS), Software Engineering, WOA, Distributed Systems, Computational Logic, Smart Objects, Interaction Protocols, Software Agents},
    lens = {018-837-108-380-868},
    month = apr,
    numpages = {XX, 385},
    openalex = {W7156084143},
    publisher = {Springer Nature Switzerland},
    scholar = {5151962045631918875},
    series = {Lecture Notes in Computer Science},
    subseries = {State-of-the-Art Survey},
    subtitle = {Twenty-Five Years of Multi-agent Systems},
    title = {The Agents Journey},
    url = {https://link.springer.com/10.1007/978-3-032-22940-3},
    urlepub = {https://link.springer.com/download/epub/10.1007/978-3-032-22940-3.epub},
    urlopenaccess = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3.pdf},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3.pdf},
    volume = 16395,
    year = 2026
}

@incollection{ageml-adbis2026,
    apice = {AgemlAdbis2026},
    author = {Matteini, Mattia and Magnini, Matteo and Francia, Matteo and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {Advances in Databases and Information Systems: 30th European Conference, ADBIS 2026, Orl\'{e}ans, France, September 28 -- October 1, 2026, Proceedings},
    chapter = 7,
    editor = {Genoveva Vargas-Solar and Kostas Stefanidis and Themis Palpanas and Patrick Marcel and Mirian Halfeld-Ferrari},
    eisbn = {978-3-032-39820-8},
    eissn = {1611-3349},
    isbn = {978-3-032-39819-2},
    issn = {0302-9743},
    keywords = {MLOps, Data-centric AI, Agentic AI, AutoML, LLMs},
    month = sep,
    numpages = 17,
    pages = {83--99},
    part = {Core Database Systems and Serialization},
    publisher = {Springer},
    series = {Lecture Notes in Computer Science},
    title = {Agentic Architecture for Data-Centric {AutoML}},
    url = {https://link.springer.com/chapter/10.1007/978-3-032-39820-8_7},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-39820-8_7.pdf},
    volume = 16937,
    year = 2026
}

@article{democle-spe56,
    apice = {DemocleSpe56},
    author = {Carnemolla, Davide and Messina, Fabrizio and Santoro, Federico Fausto and Santoro, Corrado},
    dblp = {journals/spe/CarnemollaMSS26},
    doi = {10.1002/SPE.70049},
    issn = {1097-024X},
    journal = {Software: Practice and Experience},
    month = jan,
    number = 4,
    pages = {339--356},
    title = {An Ecosystem to Develop Multi-Agent Systems in Real-World {IoT} Applications},
    url = {https://onlinelibrary.wiley.com/doi/10.1002/spe.70049},
    urlopenaccess = {https://onlinelibrary.wiley.com/doi/epdf/10.1002/spe.70049},
    volume = 56,
    year = 2026
}

@incollection{preface-woa25y,
    address = {Cham},
    apice = {PrefaceWoa25Y},
    author = {Mascardi, Viviana and Omicini, Andrea},
    booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
    editor = {Mascardi, Viviana and Omicini, Andrea},
    eisbn = {978-3-032-22940-3},
    eissn = {1611-3349},
    iris = {11585/1061412},
    isbn = {978-3-032-22939-7},
    issn = {0302-9743},
    month = apr,
    numpages = 4,
    pages = {v--viii},
    publisher = {Springer Nature Switzerland},
    scopus = {2-s2.0-105037918766},
    series = {Lecture Notes in Computer Science},
    subseries = {State-of-the-Art Survey},
    title = {Preface},
    url = {https://link.springer.com/content/pdf/bfm:978-3-032-22940-3/1},
    volume = 16395,
    year = 2026
}

@inproceedings{CDCCPV2026,
    author = {Cortecchia, Angela and Domini, Davide and Ciatto, Giovanni and Casadei, Roberto and Pianini, Danilo and Viroli, Mirko},
    booktitle = {2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)},
    doi = {10.1109/DCOSS-IoT69657.2026.00027},
    keywords = {Modeling;Internet of Things;Aggregates;Elementary particles;Image sensors;Filtering;Measurement;Printing;Timing;Programming;Distributed Particle Filtering;Aggregate Computing;Aggregate Programming;Computational Fields;Distributed State Estimation;Internet of Things},
    pages = {161-168},
    title = {Flexible Distributed Particle Filtering for the Internet of Things via Aggregate Computing},
    year = 2026
}

@article{eumas2025-part1,
    apice = {Eumas2025-I},
    booktitle = {Multi-Agent Systems: 22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part I},
    doi = {10.1007/978-3-032-22817-8},
    editor = {Matteo Baldoni and Franziska Klügl and Andrei Olaru and Alexandru Sorici and Adina Magda Florea},
    eisbn = {978-3-032-22817-8},
    eissn = {1611-3349},
    isbn = {978-3-032-22816-1},
    issn = {0302-9743},
    keywords = {Distributed Artificial Intelligence, Multi-Agent Systems, Multi-Agent Learning, Intelligent Agents, Engineering and Analysis of Multi-Agent Systems, Agent-Based Simulation, Simulation Tools, Agent / discrete models, Human-Agent Interaction, Computational Social Choice, Modal and Temporal Logics, Voting Strategies, Multi-Agent Planning, Cooperation and Coordination, Mobile agents, Reinforcement Learning, Multi-agent reinforcement learning, Algorithmic game theory and mechanism design},
    month = aug,
    publisher = {Springer Cham},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    subtitle = {22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part I},
    title = {Multi-Agent Systems},
    url = {https://link.springer.com/10.1007/978-3-032-22817-8},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22817-8.pdf},
    volume = 16258,
    year = 2026
}

@article{fieldvmc-complintsys12,
    abstract = {The vascular morphogenesis controller (VMC) is an approach to structure development inspired by the way plants branch and distribute nutrients. It has proven useful to guide shape formation in modular robotics as well as resource distribution in hierarchically-structured organisations, such as large companies. In this work, we propose FieldVMC: a generalisation of VMC, founded on the field-based approach known as aggregate computing, which is applicable to arbitrary topologies (i.e., undirected graphs rather than trees) and supports asynchronous and decentralised execution. We redesign VMC as a field-based computation, hence enabling the emergence of organisational hierarchies out of self-organising interactions among local entities. The benefits of our approach are manifold. Being decentralised and free from topological constraints, our approach makes VMC applicable to arbitrary networks; being based on a well-known computational model, inheriting scalability, asynchronicity, and self-organising capabilities; being implemented in a functional field-based computation framework, fostering reuse and composability. To support our claims, we conduct in-silico quantitative experiments comparing FieldVMC with the original VMC. The results demonstrate that FieldVMC is a monotonic extension of VMC, offering {{{(i)}}} faster convergence, and (ii) enhanced capabilities for capturing, analyzing, and engineering novel phenomena.},
    apice = {FieldvmcComplintsys12},
    author = {Angela Cortecchia and Giovanni Ciatto and Roberto Casadei and Danilo Pianini},
    bibsource = {dblp computer science bibliography, https://dblp.org},
    dblp = {journals/comintsys/CortecchiaCCP26},
    doi = {10.1007/S40747-025-02141-Y},
    journal = {Complex \& Intelligent Systems},
    keywords = {Pattern formation, Growth regulation, Vascular morphogenesis controller, Self-organisation, Plant-inspired computing, Aggregate computing},
    number = 2,
    title = {{FieldVMC}: an asynchronous model and platform for self-organising morphogenesis of artificial structures},
    url = {https://doi.org/10.1007/s40747-025-02141-y},
    volume = 12,
    year = 2026
}

@proceedings{agentsandmasdevelopment-book2026,
    address = {Cham},
    apice = {AgentsandmasdevelopmentBook2026},
    booktitle = {Agents and Multi-Agent Systems Development: Platforms, Toolkits, Technologies},
    doi = {10.1007/978-3-032-01082-7},
    editor = {Rem Collier and Viviana Mascardi and Ricci, Alessandro},
    eisbn = {978-3-032-01082-7},
    isbn = {978-3-032-01081-0},
    month = jan,
    publisher = {Springer},
    subtitle = {Platforms, Toolkits, Technologies},
    title = {Agents and Multi-Agent Systems Development},
    url = {https://link.springer.com/10.1007/978-3-032-01082-7},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-01082-7.pdf},
    year = 2026
}