EASSS 2023
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programma / txt
EASSS 2023 (23rd edition) — 17–21 July 2023, Faculty of Information Technology, Czech Technical University in Prague, under the auspices of EURAMAS. Site front page. Recovered 2026-09-14 by Claude for the APICe Event record. Source: https://easss23.pages.fit/ ------------------------------------------------------------------------ 23rd European Agent Systems Summer School EASSS 2023 Home Programme Call for Participants Call for Tutorials Local Info Committees 23rd European Agent Systems Summer School The 23rd European Agent Systems Summer School will be held at the Faculty of Information Technology of Czech Technical University in Prague in the Czech Republic from July 17th till 21st, 2023. The EASSS 2023 is organised under the auspices of EURAMAS , the European Association for Multi-Agent Systems. Important Dates Tutorial Proposals March 27, 2023 Early Bird Registration May 19, 2023 Registration June 24, 2023 Summer School July 17 - 21, 2023 About the EASSS The main goal of the European Agent Systems Summer School is to provide exchange of knowledge among individuals and groups interested in various aspects of autonomous systems. This dissemination is provided by formal state-of-the-art courses conducted by leading experts in the field and by informal meetings during the event. The school attracts both beginner and experienced researchers, encouraging cooperation between representatives of many branches of Multi-Agent Systems research community. The topics tackled within the field are becoming increasingly important due to ubiquity of distributed systems, including Internet of Things, intelligent buildings and cities, autonomous robots, etc. Both the practical and theoretical aspects of Multi-Agent Systems are within the scope of EASSS. Important Dates Tutorial proposals: March 27, 2023 Early Registration: May 19, 2023 Registration: June 24, 2023 School: July 17 - 21, 2023 Contact easss23@fit.cvut.cz Organizers Czech Technical University in Prague Faculty of Information Technology G²OAT research group Supported by