{"id":734,"date":"2012-10-08T19:52:24","date_gmt":"2012-10-08T19:52:24","guid":{"rendered":"http:\/\/www.complejidadsocial.udd.cl\/?p=734"},"modified":"2012-10-08T19:52:24","modified_gmt":"2012-10-08T19:52:24","slug":"asymmetric-game-dynamics-and-its-applications-charla-de-yuzuru-sato","status":"publish","type":"post","link":"https:\/\/gobierno.udd.cl\/cics\/2012\/10\/08\/asymmetric-game-dynamics-and-its-applications-charla-de-yuzuru-sato\/","title":{"rendered":"“Asymmetric game dynamics and its applications”. Yuzuru Sato’s lecture"},"content":{"rendered":"

\"\"
\n<\/a>Yuzuru Sato<\/strong> obtained a Ph.D. in nonlinear physics and complex systems from the University of Tokyo in 2000. He received postdoctoral fellowships from JSPS (2000-2001), RIKEN (2001-2002), and Santa Fe Institute (2002-2006). Since the year 2006, he is an associate professor at RIES Complex Systems Group \/ Department of Mathematics at Hokkaido university. His research is focused on problems in the field of application of nonlinear dynamical systems and complex systems.<\/p>\n

Lecture: \u201cAsymmetric game dynamics and its applications\u201d<\/strong><\/p>\n

When: <\/strong>wednesday, \u00a031th October<\/p>\n

Where:<\/strong> Sala Penal, Universidad del Desarrollo, campus Rector Ernesto Silva Bafalluy, Av. La Plaza 680, Las Condes.<\/p>\n

Language:<\/strong> English<\/p>\n

Abstract:<\/strong> Asymmetric game dynamics is a class of ODEs that describe learning in games, starting from microscopic stochastic learning [1]. Although individual players interact with their environment in a purely self-interested way, macroscopic behavior can be interpreted as game dynamics in this context. Applications to several explicit game interactions exhibits a diversity of nonlinear dynamical behaviors [2]. In this talk, we discuss several extensions of asymmetric game dynamics in terms of learning in game [3].<\/p>\n

References:<\/strong><\/p>\n

[<\/strong>1] P.D. Taylor and L.B. Jonker, Math. Biosci., 40, p145-156, (1978); J. Hofbauer and K. Sigmund, \u201cEvolutionary Games and Population Dynamics,\u201d Cambridge University Press, (1988); J. Hofbauer, J. Math. Biol., 34, p675-688, (1996); D. Fudenberg and D. K. Levine, \u201cTheory of Learning in Games,\u201d MIT Press, (1998).<\/p>\n

[2] Y. Sato, E. Akiyama and J. D. Farmer, PNAS, 99, p4748-4751, (2002); Y. Sato and J. P. Crutchfield, Physical Review, E 67, p015206(R), (2003); Y. Sato, E. Akiyama and J. P. Crutchfield, Physica, D 210, p21-57, (2005).<\/p>\n

[3] Y. Sato and D. Farmer, in preparation; Y. Sato and N. Ay, Hokkaido University Preprint Series, 819, Hokkaido University, submitted; Y. Sato and F. Atay, in preparation.<\/p>\n

Poster:
\n\"\"<\/a><\/strong><\/p>\n

Link: <\/strong>http:\/\/www.math.sci.hokudai.ac.jp\/~ysato\/en\/index.html<\/a><\/p>\n

\n

Yuzuru Sato <\/strong>obtuvo un doctorado en F\u00edsica no linear y Sistemas Complejos de la Universidad de Tokyio el 2000 y recibi\u00f3 sus becas postdoctorales de JSPS (2000-2001), RIKEN (2001-2002) y del Instituto de Santa Fe. (2002-2006). Desde el a\u00f1o 2006 es profesor asociado de RIES Complex System Group \/ Departamento de Matem\u00e1ticas en la Universidad de Hokkaido, Jap\u00f3n. Su investigaci\u00f3n se centra en problemas del campo de la aplicaci\u00f3n de sistemas din\u00e1micos no lineales y sistemas complejos.<\/p>\n

CHARLA \u201cAsymmetric game dynamics and its applications\u201d<\/strong><\/p>\n

Cu\u00e1ndo: <\/strong>mi\u00e9rcoles 31 de octubre 13:00 hrs.<\/p>\n

D\u00f3nde: <\/strong>Sala Penal, Universidad del Desarrollo, campus Rector Ernesto Silva Bafalluy, Av. La Plaza 680, Las Condes.<\/p>\n

Idioma: <\/strong>Ingl\u00e9s.<\/p>\n

Abstract: <\/strong>Asymmetric game dynamics is a class of ODEs that describe learning in games, starting from microscopic stochastic learning [1]. Although individual players interact with their environment in a purely self-interested way, macroscopic behavior can be interpreted as game dynamics in this context. Applications to several explicit game interactions exhibits a diversity of nonlinear dynamical behaviors [2]. In this talk, we discuss several extensions of asymmetric game dynamics in terms of learning in game [3].<\/p>\n

References:<\/strong><\/p>\n

[<\/strong>1] P.D. Taylor and L.B. Jonker, Math. Biosci., 40, p145-156, (1978); J. Hofbauer and K. Sigmund, \u201cEvolutionary Games and Population Dynamics,\u201d Cambridge University Press, (1988); J. Hofbauer, J. Math. Biol., 34, p675-688, (1996); D. Fudenberg and D. K. Levine, \u201cTheory of Learning in Games,\u201d MIT Press, (1998).<\/p>\n

[2] Y. Sato, E. Akiyama and J. D. Farmer, PNAS, 99, p4748-4751, (2002); Y. Sato and J. P. Crutchfield, Physical Review, E 67, p015206(R), (2003); Y. Sato, E. Akiyama and J. P. Crutchfield, Physica, D 210, p21-57, (2005).<\/p>\n

[3] Y. Sato and D. Farmer, in preparation; Y. Sato and N. Ay, Hokkaido University Preprint Series, 819, Hokkaido University, submitted; Y. Sato and F. Atay, in preparation.<\/p>\n

P\u00f3ster:
\n<\/strong>\"\"<\/a><\/p>\n

Link: <\/strong>http:\/\/www.math.sci.hokudai.ac.jp\/~ysato\/en\/index.html<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Yuzuru Sato obtained a Ph.D. in nonlinear physics and complex systems from the University of Tokyo in 2000. He received postdoctoral fellowships from JSPS (2000-2001), RIKEN (2001-2002), and Santa Fe Institute (2002-2006). Since the year 2006, he is an associate professor at RIES Complex Systems Group \/ Department of Mathematics at Hokkaido university. His research […]<\/p>\n","protected":false},"author":9192218,"featured_media":2764,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,2,3],"tags":[],"class_list":["post-734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-calendar","category-events","category-news"],"yoast_head":"\n"Asymmetric game dynamics and its applications". 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