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Academic literature on the topic 'Intelligenza artificiale'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Intelligenza artificiale"

Sorrentino, Maddalena. "Intelligenza artificiale: lezioni dalla Cina." LCM - La Collana / The Series 9788879168267 (December 2017): 111–22. http://dx.doi.org/10.7359/826-2017-sorr.

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Fidanza, Federico. "Sul concetto di Intelligenza Artificiale." La Nuova Giuridica 1, no. 1 (September 14, 2022): 186–98. http://dx.doi.org/10.36253/lng-1823.

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In the last few years, because of its spread and economic importance, Artificial Intelligence (AI) has taken a leading role in legal studies. This essay investigates the definition of the concept of AI from multiple point of views: firstly, from a technological and terminological perspective; secondly, analyzing and comparing the definitions given by the US legislation, the forthcoming EU AI Act and the Council of State (decision n. 7891/2021).

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Frontoni, Emanuele. "Intelligenza Artificiale Generativa e creatività umana." FOR - Rivista per la formazione, no. 3 (January 2024): 15–17. http://dx.doi.org/10.3280/for2023-003oa17072.

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Černý, Michal. "Umělá inteligence a její spirituálně-teologická reflexe." Verba Theologica 23, no. 1 (2024): 7–26. http://dx.doi.org/10.54937/vt.2024.23.1.7-26.

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This study offers a view of the development of generative systems with artificial intelligence based on large language models and its analysis in the context of spiritual-theological reflection. It will focus on the current theological reflection of Pope Francis in the document Intelligenza artificiale e pace, but also on the works of contemporary theologians analyzing selected perspectives of this phenomenon. The essay will discuss phenomena such as spiritual accompaniment with artificial intelligence, new forms of individualized Christianity or the relationship to the limits of humanity, inquiry and the understanding of mystery. The study seeks a basic conceptualisation of the topic as a spiritual phenomenon that must be adequately reflected theologically.

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Valentinetti, Diego, and Michele A. Reaa. "Intelligenza artificiale e accounting: le possibili relazioni." MANAGEMENT CONTROL, no. 2 (September 2023): 93–116. http://dx.doi.org/10.3280/maco2023-002005.

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Accoto, Cosimo. "Intelligenza artificiale: una provocazione di senso planetaria." FOR - Rivista per la formazione, no. 3 (January 2024): 6–9. http://dx.doi.org/10.3280/for2023-003oa17069.

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Vitolo, Mario, and Francesco Santopaolo. "Analisi del fabbisogno formativo e Intelligenza artificiale." FOR - Rivista per la formazione, no. 3 (January 2024): 38. http://dx.doi.org/10.3280/for2023-003oa17079.

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Villa, Daniele. "Pastiche visuali e intelligenza artificiale. Iporealismo, pittoresco, simulacri." TERRITORIO, no. 102 (August 2023): 178–91. http://dx.doi.org/10.3280/tr2022-102022.

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Amicucci, Marco, and Silvia Innocenzi. "Simulatori Conversazionali: Intelligenza Artificiale per la Crescita Professionale." FOR - Rivista per la formazione, no. 3 (January 2024): 36. http://dx.doi.org/10.3280/for2023-003oa17077.

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Vanolo, Alberto. "La geografia umana secondo un' intelligenza artificiale. Un piccolo esperimento." RIVISTA GEOGRAFICA ITALIANA, no. 2 (May 2023): 83–100. http://dx.doi.org/10.3280/rgioa2-2023oa15936.

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Queste breve contributo propone una riflessione e intende stimolare un confronto intorno alle possibilità e ai limiti nell'utilizzo dell'intelligenza artificiale nella geografia umana e culturale. In particolare, viene discusso del possibile rapporto con la scrittura accademica e dell'idea di geografia proposta dagli algoritmi. Le riflessioni sono sviluppate a partire da un dialogo intorno ai temi e agli orientamenti della geografia umana fra l'autore e il chatbot basato su intelligenza artificiale denominato ChatGPT.

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Dissertations / Theses on the topic "Intelligenza artificiale"

Poser, Andrea <1981&gt. "AI – Intelligenza Artificiale." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17364.

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“Can machines think?” È questa la semplice domanda di Turing nel suo saggio Mind del 1950. L’interrogarsi sulla possibilità dell’intelligenza artificiale equivale, cambiando il punta di vista, a chiedersi se le capacità della mente umana siano “replicabili” ovvero se il cervello è una macchina, per quanto complessa.

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Gozzoli, Manuel. "Intelligenza Artificiale: tecniche e applicazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Vladi, Andri. "Intelligenza artificiale e giochi: l'algoritmo MINMAX." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17799/.

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MINMAX è un algoritmo impiegato in diverse discipline, tra cui: teoria dei giochi, teoria delle decisioni e IA. Viene usato per la ricerca delle azioni migliori assumendo scelte ottimali da parte degli agenti coinvolti e sfrutta una struttura ad albero ed una funzione euristica per cercare una soluzione in un contesto di conflitto tra più parti. Costruisce l'albero fino a una profondità prefissata, identificata dal numero di azioni alternate che si sceglie come limite di ricerca e usa la funzione euristica per valutare gli stati all'ultimo stadio della ricerca, valori che propaga poi fino allo stato iniziale, confrontandoli con quelli degli altri stati, finché non ha valutato tutti gli stati adeguati disponibili, trovando cosi il percorso migliore. Il potenziamento principale a questo algoritmo è realizzato tramite la potatura Alfa-Beta che sfrutta due variabili chiamate appunto Alfa e Beta, che creano un finestra di valori minimi e massimi ammissibili oltre i quali le posizioni non vengono considerate, riducendo la dimensione dell'albero e permettendo così una ricerca più profonda.

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Fattori, Matteo. "Intelligenza artificiale per giochi strategici real-time." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6789/.

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L'elaborato affronta la progettazione di un'intelligenza artificiale per giochi strategici real-time in cui viene descritta la suddivisione dei livelli di astrazione e vengono prese in considerazione due architetture specifiche, SORTS ed EISBot, facendo particolare attenzione sulle problematiche riscontrate nell'ambiente di gioco.

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Spinato, Claudia <1995&gt. "Arte e intelligenza artificiale nell'era dei deepfake." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/20119.

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Con lo sviluppo dell’intelligenza artificiale e dei nuovi media diventa sempre più difficile al giorno d’oggi orientarsi nel mondo digitale e della disinformazione. Il confine tra realtà e illusione è labile: i deepfake nell’ultimo decennio sono un pericolo sempre maggiore e spesso difficile da riconoscere. L’elaborato, basandosi sul concetto di iperrealismo secondo alcuni principali filosofi e affrontando il problema filosofico della distinzione tra immagine e realtà, ne segue lo sviluppo attraverso la nascita dei deepfake e dell’intelligenza artificiale (nello specifico delle GANs), individuando, tuttavia, un campo in cui questo sviluppo può essere innovativo e avere un risvolto positivo: quello artistico. Se l’uso iperrealistico dell’intelligenza artificiale può avere un risvolto negativo, con lo scopo di ingannare lo spettatore, l’uso della stessa tecnologia in maniera creativa potrebbe invece aprire una nuova strada?

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Gianessi, Mattia. "Robotica e intelligenza artificiale applicate alla validazione automotive." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Questo lavoro rappresenta il resoconto di un tirocinio svolto presso il dipartimento di sviluppo elettronico, team di Integrazione e Validazione, di Automobili Lamborghini durante il quale si è progettato e implementato un sistema autonomo, flessibile e facilmente integrabile con le tecnologie già in uso presso il dipartimento; tale sistema deve essere in grado di riconoscere e interagire con le componenti di input e output HMI (switch, pulsantiere e display touchscreen) delle vetture, permettendo di eseguire e valutare il successo, o il fallimento, di una serie di test case proposti da un utilizzatore esterno. La componente del sistema adibita al riconoscimento di oggetti è costituita da una rete neurale realizzata tramite la libreria software TensorFlow, mentre quella utilizzata per interagire con tali oggetti è un braccio robotico LBR iiwa dotato di un carrello mobile KMR. Il risultato finale ottenuto è stato poi integrato in un framework più ampio che coinvolge altri stakeholders del flusso di sviluppo e validazione prodotto di Automobili Lamborghini S.p.A.

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Tramontano, Matteo. "sentiment analysis: previsione con tecniche di intelligenza artificiale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20387/.

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La tesi tratta l'argomento chiamato Sentiment Analysis, ovvero un campo dell'elaborazione del linguaggio naturale che si occupa di costruire sistemi per l'identificazione ed estrazione di opinioni dal testo basandosi sui principali metodi di linguistica computazionale e di analisi testuale. In particolare ha lo scopo di mostrare realizzazione ed applicazione di questa pratica focalizzandosi sugli algoritmi che la costituiscono. Viene anche analizzato il suo utilizzo al fine di effettuare previsioni nel futuro con particolare attenzione all'ambito economico-finanziario.

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Mennino, Mirko. "Videogiochi e intelligenza artificiale: generazione automatica di contenuto personalizzato." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5113/.

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Braccini, Michele. "Intelligenza artificiale: test di Turing e alcune questioni filosofiche." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6060/.

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PELUSO, Maria Grazia (ORCID:0000-0002-5198-9694). "La governance dei dati nelle applicazioni di Intelligenza Artificiale." Doctoral thesis, Università degli studi di Bergamo, 2022. http://hdl.handle.net/10446/207127.

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Books on the topic "Intelligenza artificiale"

Salvino, Biolo, Agazzi Evandro, and Centro di studi filosofici di Gallarate. Convegno, eds. Intelligenza naturale e intelligenza artificiale. Genova: Marietta, 1991.

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Battaglia, Pippo. Intelligenza artificiale: Dagli automi ai robot "intelligenti". Torino: UTET libreria, 2006.

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Frixione, Marcello. Logica, significato e intelligenza artificiale. Milano, Italy: FrancoAngeli, 1994.

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Pessa, Eliano. Intelligenza artificiale: Teorie e sistemi. Torino: Bollati Boringhieri, 1992.

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Frixione, Marcello. Logica, significato e intelligenza artificiale. Milano, Italy: FrancoAngeli, 1994.

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Lerda, Francesco. Intelligenza umana e intelligenza artificiale: Est modus in rebus. Soveria Mannelli, Catanzaro: Rubbettino, 2002.

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Oriana, Persico, ed. AngelF: Diario di una intelligenza artificiale. Roma: Castelvecchi, 2009.

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Pedrazzi, Rebecca. Futuri possibili: Scenari d'arte e intelligenza artificiale. Milano: Jaca book, 2021.

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Stock, Oliviero. Intelligenza artificiale: Aree di ricerca, tendenze, prospettive. Milano, Italy: F. Angeli, 1994.

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Gallino, Luciano. L' attore sociale: Biologia, cultura e intelligenza artificiale. Torino: G. Einaudi, 1987.

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Book chapters on the topic "Intelligenza artificiale"

Teti, Antonio. "Intelligenza Artificiale: la meta finale." In I blu, 27–59. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1815-0_3.

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Santaella, Lucia. "Is Artificial Intelligence Intelligent?" In Challenges of the Technological Mind, 9–28. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55333-2_2.

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Paaß, Gerhard, and Dirk Hecker. "What Is Intelligent About Artificial Intelligence?" In Artificial Intelligence, 1–13. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50605-5_1.

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Serrano, Will. "iBuilding: Artificial Intelligence in Intelligent Buildings." In Advances in Intelligent Systems and Computing, 395–408. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29933-0_33.

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Voigts, Eckart, Dietmar Elflein, and Jan Röhnert. "Artificial Intelligence - Intelligent Art? An Introduction." In Digitale Gesellschaft, 9–34. Bielefeld, Germany: transcript Verlag, 2024. http://dx.doi.org/10.14361/9783839469224-001.

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Özkural, Eray. "Measures of Intelligence, Perception and Intelligent Agents." In Artificial General Intelligence, 174–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93758-4_18.

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Laskari, Naveen Kumar, and Suresh Kumar Sanampudi. "Design Artificial Intelligence Course Contents Using Artificial Intelligent Techniques." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 592–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_68.

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Silva, Carla Sofia R., and Jose Manuel Fonseca. "Artificial Intelligence and Algorithms in Intelligent Systems." In Advances in Intelligent Systems and Computing, 308–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91189-2_30.

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Zhang, Yuhong, and Umer Nauman. "Artificial Unintelligence: Anti-intelligence of Intelligent Algorithms." In Intelligence Science II, 333–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01313-4_35.

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Salem, Abdel-Badeeh M. "Artificial Intelligence Technology in Intelligent Health Informatics." In Advances in Intelligent Systems and Computing, 3. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99981-4_1.

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Conference papers on the topic "Intelligenza artificiale"

Terenzi, Benedetta, Valeria Menchetelli, Giacomo Pagnotta, and Ludovica Avallone. "Connection between AI and product design - Potentials and critical issues in the text-to-image software-assisted design experience." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004511.

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Driven by the demand for innovation, design is constantly evolving and is increasingly focused on integrating new technologies into design processes. Technological innovations have proven to be of fundamental importance, both in speeding up and improving production processes and managing and enriching the ideational process.We are now surrounded by software in which the participation of artiﬁcial intelligence is constant, but although it has become pervasive, we often do not even notice its presence. In the field of product design, several software exploiting artiﬁcial intelligence have been diﬀused to provide us with virtual products at the two-dimensional level. These software are capable of transforming the ideational stages of a project, as they generate original idea proposals in a matter of minutes. One of the most popular software is Midjourney, which is based on the key text-to-image concept, and can create images from prompts, and descriptive keywords provided by the designer. There are also interesting examples in this regard. Think of the work done by Filippo Nassetti, a British architect and designer, who came up with a series of sunglasses and eyeglasses by going through Midjourney, to obtain zoomorphic-inspired products that recall the textures of biological and mineral microstructures. The surreal collection of biomorphically shaped glasses is an example of the exploration of the creative potential of Midjourney software.Another interesting project is the one tackled by the Oio company for the Spawns spoon collection, in collaboration with Giosanpietro Jewelry. According to Simone Rebaudengo, director and co-founder together with Matteo Loglio of the Oio company, the products in the Spawns collection derive from an ongoing dialogue between different skills that has led to the collaboration between man and algorithm, resulting in an expansion of the handmade, merging the ancient world of craftsmanship with that of advanced technology, defining what they call 'craft intelligence.The paper aims to explore the relationships, potentials and limitations of integrating artificial intelligence into the design process through a design experience that tests the innovative potential of text-to-image software in product ideation and reflects on the redefinition of the designer's role in this rapidly and continuous changing scenario.The case study presented therefore experiments with a design process in which the ideation phase is supported by AI, particularly by text-to-image software, which allows textual descriptions to be translated into visual representations, generating highly detailed images and offering new creative possibilities. The work addressed outlines perspectives and critical issues, which deserve further investigation. On the one hand, one potential that is being outlined is the possibility of visualizing even complex ideas by entrusting the imaginative component to the software, having a multiplicity of alternatives and expanding the ideational range with novel solutions from which to make more informed design choices. Text-to-image software also simulates effective virtual prototyping, allowing a concept to be prefigured and visualized in a three-dimensional context before committing to physical production.On the other hand, text-to-image software has some significant limitations, for example in the poor correspondence of generated images with design intentions and the designer's need to acquire technical skills to effectively use text-to-image software, going on to delineate the possibility of a figure such as that of the prompt designer.Therefore, the presented project aims to contribute to the contemporary debate on the integration of AI into design processes with the collaboration of text-to-image software as another avenue for innovation in product design. The scenario sketched out defines an area in which the role of the designer and human creativities proves irreplaceable, leaving one to understand how more and more a process of understanding and collaboration with AI technologies is needed, and how the skills required of future designers are going to vary and expand.Nozaki, N., Konno, E., Sato, M., Sakairi, M., Shibuya, T., Kanazawa, Y., & Georgescu, S., 2017, Application of artificial intelligence technology in product design. Fujitsu Sci. Tech. J, 53(4), 43-51.F. Morace, Design più umano. Quello che l’intelligenza artificiale non potrà mai darci. Egea, 2018S. Quintarelli, Intelligenza artificiale: cos'è davvero, come funziona, che effetti avrà. Bollati Boringhieri, Torino, 2020G. E. Valori, Intelligenza artificiale tra mito e realtà. Motore di sviluppo o pericolo imminente? Rubbettino, 2021L. Keeheon, A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design. Sustainability 2021, 13(5), 2668; https://doi.org/10.3390/su13052668M. Mitchell, L'intelligenza artificiale: una guida per esseri umani pensanti. Einaudi, 2022

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Lučić, Sonja. "VEŠTAČKA INTELIGENCIJA I PATENTNO PRAVO." In XVIII Majsko savetovanje. University of Kragujevac, Faculty of Law, 2022. http://dx.doi.org/10.46793/xviiimajsko.479l.

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Artificial intelligence is a field of technology that is developing intensively. Along with the development of artificial intelligence, the issue of its patent protection has become topical. Artificial intelligence systems are based on highly developed algorithms and mathematical models, phenomena with which patent law is traditionally in conflict. This issue is not just a national or European problem. There is also an intensive debate in the United States about the patentability of artificially intelligent systems. The author deals with the question of whether artificially intelligent systems can enjoy patent protection. The paper analyzes the case of "DABUS" which refers to an international patent application in which the artificially intelligent system DABUS is listed as the inventor. Numerous intellectual property offices around the world (eg American, British, German, Australian, EPO) have rejected such a patent application. On the other hand, the Federal Court of Australia has ruled that under the Australian Patent Act AI could be listed as the inventor. Recognition of AI as the inventor (not the owner) of inventions generated by artificial intelligence can have certain consequences, including in the field of copyright.

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Emuowhochere, Oghenevwegba T., Enesi Y. Salawu, Samson O. Ongbali, and Oluseyi O. Ajayi. "Future of Artificial Intelligence in Developing a Sustainable Intelligent Engineering Systems: A Review." In 2023 International Conference on Sustainable Engineering and Materials Development. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-0wnidr.

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Studying the behaviour of engineering systems and processes from the perspective of applications of artificial intelligence provides an invaluable reference to improve their productivity and industrial development at large. This study comprehensively unveiled the problems faced by engineering systems and how artificial intelligence could be deployed as a technique for the future advancement of the industry. A brief background of the application of artificial intelligence in some selected engineering fields revealed that insufficient operational and process data from both plants and processes are major problems causing the survival of sustainable intelligent systems thereby, leading to incessant system failure. Furthermore, it was equally discovered that artificial intelligent for specific application are based on the data obtained from such application. Thus, there is no universally agreed artificial intelligent for a specific application. This made it a bit complex in developing intelligent systems. Keywords: Artificial Neural Network, Applications, Engineering, Training, Data.

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CAO, AN-YAN, QIAN LV, and LI-GONG CUI. "RESEARCH ON THE TRAINING OF ELECTROMECHANICAL COMPLEX TALENTS IN HIGHER VOCATIONAL COLLEGES UNDER THE BACKGROUND OF ARTIFICIAL INTELLIGENCE." In 2021 International Conference on Education, Humanity and Language, Art. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/ehla2021/35718.

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The new technology in artificial intelligence has a far-reaching impact on the intelligent development of the manufacturing industry. These new skill requirements are bound to promote the reform of vocational education in the field of intelligent control. It is urgent to train a group of highly skilled compound talents who can adapt to the development of artificial intelligence and intelligent manufacturing and can engage in the field of intelligent control technology. In this background, this paper takes Binzhou Polytechnic as an example, which is a high level vocational college with Chinese characteristics. We investigate the current situation and development prospect of artificial intelligence and intelligent manufacturing and analyze the problems and development opportunities of mechatronics technology specialty under the background of artificial intelligence development. We put forward some suggestions on the personnel training system of mechatronics technology from the aspects of specialty orientation and the integration and optimization of training specifications, the development of specialty curriculum system, the reform of teaching mode, and the construction of innovative teacher team.

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Chandra, Shalini, Anuragini Shirish, and Shirish C. Srivastava. "Artificially Intelligent or Humanly Artificial?" In SIGMIS-CPR '20: 2020 Computers and People Research Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3378539.3393839.

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Ahmad, Adang Suwandi, and Arwin Datumaya Wahyudi Sumari. "Cognitive artificial intelligence: Brain-inspired intelligent computation in artificial intelligence." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252094.

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Shweta A.S. "Intelligent refrigerator using ARTIFICIAL INTELLIGENCE." In 2017 11th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2017. http://dx.doi.org/10.1109/isco.2017.7856036.

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Monteiro, Juarez, Roger Granada, Rafael C. Pinto, and Rodrigo C. Barros. "Beating Bomberman with Artificial Intelligence." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4430.

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Artificial Intelligence (AI) seeks to bring intelligent behavior for machines by using specific techniques. These techniques can be employed in order to solve tasks, such as planning paths or controlling intelligent agents. Some tasks that use AI techniques are not trivially testable, since it can handle a high number of variables depending on their complexity. As digital games can provide a wide range of variables, they become an efficient and economical means for testing artificial intelligence techniques. In this paper, we propose a combination of a behavior tree and a Pathfinding algorithm to solve a maze-based problem using the digital game Bomberman of the Nintendo Entertainment System (NES) platform. We perform an analysis of the AI techniques in order to verify the feasibility of future experiments in similar complex environments. Our experiments show that our intelligent agent can be successfully implemented using the proposed approach.

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Saastamoinen, Kalle, Antti Rissanen, and Arto Mutanen. "INTELLIGENT LEARNING IN STUDYING AND PLANNING COURSES – NEW OPPORTUNITIES AND CHALLENGES FOR OFFICERS." In 5th International Baltic Symposium on Science and Technology Education. Scientia Socialis Press, 2023. http://dx.doi.org/10.33225/balticste/2023.203.

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There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do officers need when artificial intelligence is coming? We did literature reviews and found out that intelligent technology combined with data analytics can offer several improvements to traditional classroom teaching. From literature reviews, we also found some new skills that officers might need to be able to handle AI- based technologies. This is a position paper presenting the arguable opinions of the writers. We have found lots of benefits that the use of intelligent learning technology can bring, mainly by supporting individual learning paths. There is also an obvious need for AI officers who should have a deeper understanding of the AI-supported technology than normal officers. This project and some other similar projects have raised a lot of discussions, one seminar series about artificial intelligence and we do have some trained AI officers as well. Keywords: artificial intelligence, intelligent learning, supported studying, intelligent planning, characteristics of war

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Williams, Jessica, Rhyse Bendell, Stephen Fiore, and Florian Jentsch. "Artificial Social Intelligence in Action: Lessons Learned from Human-Agent Hybrid Search and Rescue." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004190.

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Socially intelligent artificial agents have recently shown some evidence of improving team performance when advising human teammates during the execution of time-pressured, complex missions. These agents, imbued with a form of social intelligence supported by Artificial Theory of Mind, have also demonstrated some negative outcomes associated with their approaches to delivering advice and motivating teammates to succeed. Here, we closely examine team performance outcomes associated with a simulated team Urban Search and Rescue mission in the context of interventions delivered by artificial socially intelligent agents that served as advisors to the human teammates engaged in task execution. The task studied here required some individual taskwork effectiveness as well as a notable amount of interdependent teamwork coordination. The interdependent activities provided the advising artificially intelligent teammates an opportunity to observe and intervene to improve aspects of team process. Some of the interventions delivered by the socially intelligent agents were found to positively impact performance, notably those that targeted objective data and the dissemination of information to the right individual at appropriate timepoints; however, other interventions negatively impacted team outcomes. Results showed that Motivation interventions aimed solely at bolstering the motivation of team members did not yield positive outcomes; in fact, they were found to have adverse effects on overall team performance and task execution.

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Reports on the topic "Intelligenza artificiale"

Kaiser, Gail E., and Peter H. Feller. Intelligent Assistance without Artificial Intelligence. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada182094.

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anis, sehab. Artificial Intelligence. ResearchHub Technologies, Inc., August 2023. http://dx.doi.org/10.55277/researchhub.agwfnyrw.

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Roberts, Kamie. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.600-1.

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Novak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin, and Robert L. Artificial Intelligence Project. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada230793.

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Guerreiro, Joao, Sergio Rebelo, and Pedro Teles. Regulating Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, November 2023. http://dx.doi.org/10.3386/w31921.

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Cwik, Cynthia, Paul Grimm, Maura Grossman, and Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0786.

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Karanicolas, Michael, and Mallory Knodel. Artificial Intelligence and the Courts: Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0788.

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Firth-Butterfield, Kay, and Karen Silverman. Artificial Intelligence and the Courts: Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0782.

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Fox, M. S., and S. F. Smith. Constraint-Based Scheduling in an Intelligent Logistics Support System: An Artificial Intelligence Approach. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada159043.

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Lesser, Victor R., Paul Cohen, and Wendy Lehnert. Center for Artificial Intelligence. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada282272.

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