@inproceedings{fe5b8495341944ea871bc032dff0017f,
title = "Coalitional games with stochastic characteristic functions defined by private types",
abstract = "This paper studies a coalitional game of task allocation where the characteristic function is not known and it is controlled by some private information from the players. Hence, the challenge here is twofold: (i) incentivize players to reveal their private information truthfully, (ii) incentivize them to collaborate together. Existing reward distribution mechanisms or auctions cannot solve the challenge. Hence, we propose a novel mechanism for the problem from the perspective of both mechanism design and coalitional games.",
keywords = "Coalitional games, Incentive compatibility, Stochastic characteristic functions, Task allocation",
author = "Dengji Zhao and Yiqing Huang and Liat Cohen and Tal Grinshpoun",
note = "Publisher Copyright: {\textcopyright} 2020 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). All rights reserved.; 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 ; Conference date: 19-05-2020",
year = "2020",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "2086--2088",
editor = "Bo An and {El Fallah Seghrouchni}, Amal and Gita Sukthankar",
booktitle = "Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020",
}