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제목 [학술세미나] SEED 세미나 안내(18.11.16)
작성일 2018-11-13 14:24:05
내용 SEED Seminar Announcement


We cordially invite you to attend the SEED seminar by Prof. Simone Righi on Friday, 16 Nov 2018@10:00-11:00 AM (UTC note time difference).   
 
* Title: Social closure and the evolution of cooperation via indirect reciprocity
* Speaker: Simone Righi,   UCL
* Time: 10:00-11:00 am (U.K. Time), Friday, 16 Nov 2018 
* Venue: UCL, U.K.
* Virtual seminar room: webconf.vc.dfn.de/optimization
* Room Passcode: seed
 
Abstract:
Direct and indirect reciprocity are good candidates to explain the fundamental problem of evolution of cooperation. We explore the conditions under which different types of reciprocity gain dominance and their performances in sustaining cooperation in the PD played on simple networks. We confirm that direct reciprocity gains dominance over indirect reciprocity strategies also in larger populations, as long as it has no memory constraints. In the absence of direct reciprocity, or when its memory is flawed, different forms of indirect reciprocity strategies are able to dominate and to support cooperation. We show that indirect reciprocity relying on social capital inherent in closed triads is the best competitor among them, outperforming indirect reciprocity that uses information from any source. Results hold in a wide range of conditions with different evolutionary update rules, extent of evolutionary pressure, initial conditions, population size, and density.
 
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The SEED seminar series is jointly organized by researchers from National University of Singapore, Zuse Institute Berlin, The Institute of Statistical Mathematics, Academia Sinica, University College London, Seoul National University and the Hong Kong University of Science and Technology. SEED stands for Statistics maschinElEarning Datascience. Motivated by the availability of big complex data and the fast development of new techniques in machine learning and data science, SEED aims to provide an online research platform for seminars focusing on important and timely interdisciplinary research topics on Statistics, Machine learning, Data Science, Mathematics, Operation Research, Computer Science, and Engineering. The online seminar series are co-hosted and organised by several research institutes in different countries. The mission is to exchange research ideas, educate young researchers, and promote international research and education collaborations.For more information, please visit the SEED website https://seed.stat.nus.edu.sg/index.php 
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We look forward to seeing you at the events!
 
Best regards
 
SEED Organisation Committee
  
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Confirmed seminars will be given by the following researchers:
 
Speaker Title Date and Time Host
Hong Kong, Singapore and Taiwan (UTC +8) Japan and Korea 
(UTC +9)
Germany 
(UTC +1)
U.K. 
(UTC)
Hideitsu Hino Current Dipole Localization from EEG with Birth-Death Process Wed, 9 Jan 2019
16:00 - 17:00
Wed, 9 Jan 2019
17:00 - 18:00
Wed, 9 Jan 2019
09:00 - 10:00
Wed, 9 Jan 2019
08:00 - 09:00
ISM
Guido Germano Integral transform methods and spectral filters for the pricing of exotic options Fri, 14 Dec 2018
17:30 - 18:30
Fri, 14 Dec 2018
18:30 - 19:30
Fri, 14 Dec2018
10:30 - 11:30
Fri, 14 Dec 2018
09:30 - 10:30
UCL
Simone Righi Social closure and the evolution of cooperation via indirect reciprocity Fri, 16 Nov 2018
18:00 - 19:00
Fri, 16 Nov 2018
19:00 - 20:00
Fri, 16 Nov2018
11:00 - 12:00
Fri, 16 Nov2018
10:00 - 11:00
UCL
 
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