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<bibitem type="U">   <ARLID>0521218</ARLID> <utime>20240103223614.8</utime><mtime>20200129235959.9</mtime>        <title language="eng" primary="1">GAMENET2019-EUROPEAN NETWORK FOR GAME THEORY CONFERENCE</title>     <keyword>decision-making</keyword>   <keyword>game theory</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101092</ARLID> <name1>Guy</name1> <name2>Tatiana Valentine</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <full_dept>Department of Adaptive Systems</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source>  <url>http://library.utia.cas.cz/separaty/2019/AS/guy-0521218.pdf</url> </source>         <cas_special> <project> <ARLID>cav_un_auth*0372050</ARLID> <project_id>LTC18075</project_id> <agency>GA MŠk</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">The European Network for Game Theory conference  (GAMENET 2019) aimed to present, discuss and share the progress in the following research areas: - Algorithmic Theory for Games on Networks, - Learning in Large-Scale Distributed Networks, - Graph Games, - Stochastic Methods in Game Theory. The event consisted of invited talks, poster presentations and discussions within working groups. Total number of participants is 78 - 60 international participants from 29 European states.  The conference took place on November 21 – 22, 2019, at the Institute of Information Theory and Automation, Prague, Czech Republic. The conference was organised in collaboration with EU-COST Action CA16228.</abstract>    <action target="EUR">  <dates>20191121</dates> <unknown tag="mrcbC20-s">20191122</unknown> <place>Praha</place> <country>CZ</country>  <url>http://gamenet19.utia.cas.cz/</url>    </action>  <RIV>IN</RIV> <FORD0>10000</FORD0> <FORD1>10200</FORD1> <FORD2>10201</FORD2>    <reportyear>2020</reportyear>     <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0305934</permalink>   <confidential>S</confidential>        <arlyear>2019</arlyear>       </cas_special> </bibitem>