In occasione del Convegno NIDS 2023 il Prof. Stefano A. Cerri è stato invitato a tenere la relazione introduttiva, giovedì 28 settembre alle 8:30 ora italiana. Il titolo scelto è:
Towards foundational principles in Interactive AI: From stamp collecting to Physics
Dalla presentazione sul sito del convegno consiste in tre parti:
- Una premessa generale sulla natura scientifica e tecnica dell'Informatica in generale e dell'Intelligenza Artificiale in particolare, con esempi che dimostrano la convergenza progressiva verso discipline strutturate attorno a pochi principi generali a partire dai quali ricavare molte applicazioni, apparentemente assai diverse, come accade in Fisica. Per questo il paradosso della transizione da "collezione di francobolli" a Fisica.
- Una parte centrale in cui si argomenta la scelta del relatore di tre grossi progetti di ricerca precompetitiva -con progetti europei e risultati concreti- da lui svolti nel corso degli anni da cui si capisce che i tre filoni scelti per annunciare il convegno (Adaptive and Personalized Systems, Service Science and Software Engineering, Semantic and Social Web, ) sono in realtà fortemente interdipendenti. Da ognuno di questi progetti si ricavano poche essenziali lezioni utili per il futuro.
- Una conclusione con qualche speculazione personale sulle priorità da adottare, nell'era delle sorprese tipo ChatGPT e simili servizi di Intelligenza Aumentata (o Intelligenza Artificiale Interattiva); strumenti affascinanti ed altrettanto preoccupanti. Al termine, fuori programma ma su richiesta, un breve suggerimento offerto dalla Presidente DKTS mesi fa al Parlamento dell'UE. che sta legiferando sull'AI in Europa. Questa proposta può far riflettere su come ridurre i timori ed aumentare la fiducia nel grande pubblico, come avviene nel caso della legislazione sui farmaci.
Grazie all'accordo con gli organizzatori, DKTS vi offre la possibilità di assistere a tutto il convegno connettendovi a distanza con MS Teams. Di seguito il link per accedere (il convegno si svolge in inglese).
Selected references (including download links from HAL-LIRMM, CNRS when available)
About Semantic and Social Web (recent research):
Stefano A Cerri. Information, knowledge, and human learning for chemistry: the visionary contribution of Professor Alain Krief. Chemical Synthesis, 3(2):18, April 2023. doi: 10.20517/cs.2022.37.
URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-04088363.
Philippe Lemoisson, Stefano A. Cerri, Vincent Douzal, Pascal Dugenie, and Jean-Philippe Tonneau.
Collective and Informal Learning in the ViewpointS Interactive Medium. Information, 12(5):183–214,
May 2021. doi: 10.3390/info12050183. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-03230280.
Stefano A. Cerri and Philippe Lemoisson. Sovereignty by Personalization of Information Search: A Collective Wisdom May Influence My Knowledge. In ITS 2021 - 17th International Conference on Intelligent Tutoring Systems, volume 12677 of Lecture Notes in Computer Science, pages 376–383, Athens, Greece, June 2021. doi: 10.1007/978-3-030-80421-3 42. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-03230307.
Philippe Lemoisson and Stefano A. Cerri. ViewpointS: A Collective Brain. In Claude Frasson, Panagiotis Bamidis, and Panagiotis Vlamos, editors, BFAL 2020 - 2nd International Conference on Brain Function Assessment in Learning, volume 12462 of Lecture Notes in Computer Science, pages 34–44, Heraklion, Crete, Greece, October 2020. doi: 10.1007/978-3-030-60735-7 4. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-02960616.
Stefano A. Cerri and Philippe Lemoisson. Serendipitous Learning Fostered by Brain State Assessment and Collective Wisdom. In BFAL 2020 - 2nd International Conference on Brain Function Assessment in Learning, volume 12462 of Lecture Notes in Computer Science, pages 125–136, Heraklion, Crete, Greece, October 2020. doi: 10.1007/978-3-030-60735-7 14. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-02960627.
Raoudha Chebil, Wided Lejouad Chaari, and Stefano A. Cerri. A Generic Approach to Evaluate the Success of Online Communities. In ICCCI: International Conference on Computational Collective Intelligence, volume LNCS, pages 212–222, Nicosia, Greece, September 2017. doi: 10.1007/978-3-319-67074-4 21. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-02018560.
About Service Science and Software Engineering (2003-2008):
Clement Jonquet, Pascal Dugenie, and Stefano A. Cerri. Agent-Grid Integration Language. Multiagent and Grid Systems - An International Journal of Cloud Computing , 4(2):167–211, 2008a. doi: 10.3233/MGS-2008-4203. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00139691.
Pascal Dugenie, Clement Jonquet, and Stefano A. Cerri. The Principle of Immanence in GRID-Multiagent Integrated Systems. In AWeSOMe’08: 4th International Workshop On Agents and Web Services Merging in Distributed Environments - OTM 2008 Workshops, number 5333 in LNCS, pages 98–107, Monterrey, Mexico, November 2008. Springer-Verlag. doi: 10.1007/978-3-540-88875-8 29. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00339373.
Clement Jonquet, Pascal Dugenie, and Stefano A. Cerri. Service-Based Integration of Grid and Multi-Agent Systems Models. In International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE’08:, volume LNCS, pages 56–68, Estoril, Portugal, May 2008b. Springer Berlin / Heidelberg. doi: 10.1007/978-3-540-79968-9 5. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00288454.
Pascal Dugenie and Stefano A. Cerri. The Principle of Immanence in Event-Based Distributed Systems. In S. Helmer and al., editors, Reasoning in Event-Based Distributed Systems, Studies in Computational Intellligence, pages 239–256. Springer-Verlag, December 2011. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00522738
Philippe Lemoisson and Stefano A. Cerri. Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia. Applied Artificial Intelligence, 19(9-10):933–966, 2005. doi:10.1080/08839510500234800. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00105301.
Clement Jonquet and Stefano A. Cerri. The STROBE Model: Dynamic Service Generation on the Grid. Applied Artificial Intelligence, 19(9-10):967–1013, 2005a. doi: 10.1080/08839510500234826. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-00105302.
Clement Jonquet and Stefano A. Cerri. I-Dialogue: Modelling Agent Conversation by Streams and Lazy Evaluation. In International Lisp Conference, ILC’05, page 1, Stanford University, United States, June 2005b. URL https://hal.science/hal-00250148.
Cerri, S.A. (1999). Shifting the Focus from Control to Communication: the STReams OBjects Environments Model of Communicating Agents. In: Padget, J.A. (eds) Collaboration between Human and Artificial Societies. Lecture Notes in Computer Science(), vol 1624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703260_5
About Adaptive and Personalized Systems (“long” ago) :
Nadia Hocine, Abdelkader Gouaich, Stefano A. Cerri, Denis Mottet, Jerome Froger, and Isabelle Laffont. Adaptation in serious games for upper-limb rehabilitation: An approach to improve training outcomes. User Modeling and User-Adapted Interaction, 25(1):65–98, January 2015. doi:10.1007/s11257-015-9154-6. URL https://hal-lirmm.ccsd.cnrs.fr/lirmm-01121345.
Cerri, S.a., Loia, V. A Concurrent, Distributed Architecture for Diagnostic Reasoning. User Modeling and User-Adapted Interaction 7, 69–105 (1997). https://doi.org/10.1023/A:1008263915043
Cerri, S.A. (1994). The “Natural Laboratory” Methodology Supporting Computer Mediated Generic Dialogues. In: Verdejo, M.F., Cerri, S.A. (eds) Collaborative Dialogue Technologies in Distance Learning. NATO ASI Series, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57899-1_16
Cerri, S.A., Cheli, E., McIntyre, A. (1992). Nobile: User Model Acquisition in a Natural Laboratory. In: Jones, M., Winne, P.H. (eds) Adaptive Learning Environments. NATO ASI Series, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77512-3_18
Cerri, S.A., Cheli, E., McIntyre, A. (1992). Nobile: Object-Based User Model Acquisition for Second Language Learning. In: Swartz, M.L., Yazdani, M. (eds) Intelligent Tutoring Systems for Foreign Language Learning. NATO ASI Series, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77202-3_11
