Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Kianercy, Ardeshir"'
Publikováno v:
In Journal of Surgical Research April 2024 296:411-417
Autor:
Accardo, Ryan, Brammer Basta, Leighanne A., Bello, Nicholas R., Cai, Lousanna, Cerritos, Stephanie, Cornwell, MacIntosh, D’Amato, Anthony, Hacker, Maria, Hersey, Kenneth, Kennedy, Emma, Kianercy, Ardeshir, Kim, Dohee, McCutcheon, Griffin, McGirr, Kimiko, Meaney, Nora, Nimer, Maisa, Sabbatini, Carla, Scheifele, Lisa Z., Shores, Lucas S., Silvestrone, Cassandra, Snee, Arden, Spina, Antonio, Staiti, Anthony, Stuver, Matt, Tian, Elli, Whearty, Danielle, Zhao, Calvin, Zeller, Karen, Zhang, Weimin, Lazar-Stefanita, Luciana, Yamashita, Hitoyoshi, Shen, Michael J., Mitchell, Leslie A., Kurasawa, Hikaru, Lobzaev, Evgenii, Fanfani, Viola, Haase, Max A.B., Sun, Xiaoji, Jiang, Qingwen, Goldberg, Gregory W., Ichikawa, David M., Lauer, Stephanie L., McCulloch, Laura H., Easo, Nicole, Lin, S. Jiaming, Camellato, Brendan R., Zhu, Yinan, Cai, Jitong, Xu, Zhuwei, Zhao, Yu, Sacasa, Maya, Noyes, Marcus B., Bader, Joel S., Deutsch, Samuel, Stracquadanio, Giovanni, Aizawa, Yasunori, Dai, Junbiao, Boeke, Jef D.
Publikováno v:
In Molecular Cell 7 December 2023 83(23):4424-4437
Autor:
Kianercy, Ardeshir, Galstyan, Aram
Publikováno v:
Phys. Rev. E 88, 012815 (2013)
This paper presents a model of network formation in repeated games where the players adapt their strategies and network ties simultaneously using a simple reinforcement-learning scheme. It is demonstrated that the coevolutionary dynamics of such syst
Externí odkaz:
http://arxiv.org/abs/1308.1049
Publikováno v:
Physical Review E 88, 022806 (2013)
We study adaptive dynamics in games where players abandon the population at a given rate, and are replaced by naive players characterized by a prior distribution over the admitted strategies. We demonstrate how such process leads macroscopically to a
Externí odkaz:
http://arxiv.org/abs/1303.5656
Autor:
Kianercy, Ardeshir, Galstyan, Aram
Publikováno v:
Physical Review E, vol.85, 4, 041145, 2012
We consider the dynamics of Q-learning in two-player two-action games with a Boltzmann exploration mechanism. For any non-zero exploration rate the dynamics is dissipative, which guarantees that agent strategies converge to rest points that are gener
Externí odkaz:
http://arxiv.org/abs/1109.1528
We propose a simple model of network co-evolution in a game-dynamical system of interacting agents that play repeated games with their neighbors, and adapt their behaviors and network links based on the outcome of those games. The adaptation is achie
Externí odkaz:
http://arxiv.org/abs/1107.5354
Autor:
Kianercy, Ardeshir, Pienta, Kenneth J.
Publikováno v:
Systems Biology of Tumor Microenvironment; 2016, p137-148, 12p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.