TY - DATA
T1 - Results from the Automated Negotiating Agents Competition (ANAC 2019)
PY - 2022/02/16
AU - Tim Baarslag
UR - https://data.4tu.nl/articles/dataset/Results_from_the_Automated_Negotiating_Agents_Competition_ANAC_2019_/19161851/1
DO - 10.4121/19161851.v1
KW - autonomous agents
KW - multi-agent systems
KW - artificial intelligence
KW - automated negotiation
KW - ANAC
N2 - <div>The Automated Negotiating Agent Competition (ANAC) is an international 
tournament that has been running since 2010 to bring together 
researchers from the negotiation community. In 2019, we introduced five different negotiation research challenges:
<ul><li><a href="http://web.tuat.ac.jp/~katfuji/ANAC2019/#genius">Automated Agents League: Agent Negotiation with Partial Preferences</a></li><li><a href="http://web.tuat.ac.jp/~katfuji/ANAC2019/#human">Human-Agent League</a></li><li><a href="http://web.tuat.ac.jp/~katfuji/ANAC2019/#scm">Supply Chain Management League</a></li><li><a href="http://web.tuat.ac.jp/~katfuji/ANAC2019/#diplomacy">Diplomacy League</a></li><li><a href="http://web.tuat.ac.jp/~katfuji/ANAC2019/#werewolf">Werewolf Game League</a></li></ul>This dataset contains the results from the Automated Negotiating Agents Competition 2019, including overall individual and joint utility calculations.</div>
ER -