Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based Modelling

Autor: Brusatin, Simone, Padoan, Tommaso, Coletta, Andrea, Gatti, Domenico Delli, Glielmo, Aldo

Publikováno v: Proceedings of the Fifth ACM International Conference on AI in Finance (ICAIF 2024, https://ai-finance.org/)

Agent-based models (ABMs) are simulation models used in economics to overcome some of the limitations of traditional frameworks based on general equilibrium assumptions. However, agents within an ABM follow predetermined 'bounded rational' behavioura

Externí odkaz: http://arxiv.org/abs/2405.02161

Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

Autor: Euclid Collaboration, Aussel, B., Kruk, S., Walmsley, M., Huertas-Company, M., Castellano, M., Conselice, C. J., Veneri, M. Delli, Sánchez, H. Domínguez, Duc, P. -A., Kuchner, U., La Marca, A., Margalef-Bentabol, B., Marleau, F. R., Stevens, G., Toba, Y., Tortora, C., Wang, L., Aghanim, N., Altieri, B., Amara, A., Andreon, S., Auricchio, N., Baldi, M., Bardelli, S., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Cavuoti, S., Cimatti, A., Congedo, G., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Cropper, M., Da Silva, A., Degaudenzi, H., Di Giorgio, A. M., Dinis, J., Dubath, F., Dupac, X., Dusini, S., Farina, M., Farrens, S., Ferriol, S., Fotopoulou, S., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Galeotta, S., Garilli, B., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hook, I., Hormuth, F., Hornstrup, A., Hudelot, P., Jahnke, K., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kubik, B., Kümmel, M., Kunz, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maurogordato, S., Medinaceli, E., Mei, S., Mellier, Y., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schirmer, M., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Starck, J. -L., Tallada-Crespí, P., Taylor, A. N., Teplitz, H. I., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Veropalumbo, A., Wang, Y., Weller, J., Zacchei, A., Zamorani, G., Zoubian, J., Zucca, E., Biviano, A., Bolzonella, M., Boucaud, A., Bozzo, E., Burigana, C., Colodro-Conde, C., Di Ferdinando, D., Farinelli, R., Graciá-Carpio, J., Mainetti, G., Marcin, S., Mauri, N., Neissner, C., Nucita, A. A., Sakr, Z., Scottez, V., Tenti, M., Viel, M., Wiesmann, M., Akrami, Y., Allevato, V., Anselmi, S., Baccigalupi, C., Ballardini, M., Borgani, S., Borlaff, A. S., Bretonnière, H., Bruton, S., Cabanac, R., Calabro, A., Cappi, A., Carvalho, C. S., Castignani, G., Castro, T., Cañas-Herrera, G., Chambers, K. C., Coupon, J., Cucciati, O., Davini, S., De Lucia, G., Desprez, G., Di Domizio, S., Dole, H., Díaz-Sánchez, A., Vigo, J. A. Escartin, Escoffier, S., Ferrero, I., Finelli, F., Gabarra, L., Ganga, K., García-Bellido, J., Gaztanaga, E., George, K., Giacomini, F., Gozaliasl, G., Gregorio, A., Guinet, D., Hall, A., Hildebrandt, H., Munoz, A. Jimenez, Kajava, J. J. E., Kansal, V., Karagiannis, D., Kirkpatrick, C. C., Legrand, L., Loureiro, A., Macias-Perez, J., Magliocchetti, M., Maoli, R., Martinelli, M., Martins, C. J. A. P., Matthew, S., Maturi, M., Maurin, L., Metcalf, R. B., Migliaccio, M., Monaco, P., Morgante, G., Nadathur, S., Walton, Nicholas A., Peel, A., Pezzotta, A., Popa, V., Porciani, C., Potter, D., Pöntinen, M., Reimberg, P., Rocci, P. -F., Sánchez, A. G., Schneider, A., Sefusatti, E., Sereno, M., Simon, P., Mancini, A. Spurio, Stanford, S. A., Steinwagner, J., Testera, G., Tewes, M., Teyssier, R., Toft, S., Tosi, S., Troja, A., Tucci, M., Valieri, C., Valiviita, J., Vergani, D., Zinchenko, I. A.

Publikováno v: A&A 689, A274 (2024)

The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep learning to predict the detailed morphologies of galaxies in Euclid us

Externí odkaz: http://arxiv.org/abs/2402.10187

Subgenomic flaviviral RNAs and human proteins: in silico exploration of anti-host defense mechanisms

Autor: Riccardo Delli Ponti, Andrea Vandelli, Gian Gaetano Tartaglia

Publikováno v: Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3527-3536 (2024)

Flaviviruses pose significant global health threats, infecting over 300 million people annually. Among their evasion strategies, the production of subgenomic flaviviral RNAs (sfRNAs) from the 3′ UTR of viral genomes is particularly notable. Utilizi

Externí odkaz: https://doaj.org/article/9c439f4cfa5a4027b04305231bf9c89e

Multiomic Profiling and Neuroprotective Bioactivity of Salvia Hairy Root-Derived Extracellular Vesicles in a Cellular Model of Parkinson’s Disease

Autor: Vestuto V, Conte M, Vietri M, Mensitieri F, Santoro V, Di Muro A, Alfieri M, Moros M, Miranda MR, Amante C, Delli Carri M, Campiglia P, Dal Piaz F, Del Gaudio P, De Tommasi N, Leone A, Moltedo O, Pepe G, Cappetta E, Ambrosone A

Publikováno v: International Journal of Nanomedicine, Vol Volume 19, Pp 9373-9393 (2024)

Vincenzo Vestuto,1,* Marisa Conte,1,* Mariapia Vietri,1,* Francesca Mensitieri,2 Valentina Santoro,1,3 Anna Di Muro,1 Mariaevelina Alfieri,4 Maria Moros,5,6 Maria Rosaria Miranda,1,3 Chiara Amante,1 Matteo Delli Carri,1 Pietro Campiglia,1

Externí odkaz: https://doaj.org/article/623c680f1ad140e9bbedc3ca375259c4

Educational Programs Supporting Higher Education Individuals with Autism Spectrum Disorder: A Systematic Literature Review

Autor: Christine Syriopoulou-Delli, Kyriaki Sarri, Elpis Papaefstathiou, Areti-Eirini Filiou, Eleni Gkiolnta

Publikováno v: Trends in Higher Education, Vol 3, Iss 3, Pp 710-724 (2024)

Young individuals with autism spectrum disorder (ASD) seem to attend higher education more frequently. Yet, the academic performance of students with ASD and the graduation rate appear to be poorer than those of typical development students. Moreover

Externí odkaz: https://doaj.org/article/1cf2d66292f640cea9af08992bdfb405