@inproceedings{a10aab10354b4ca6b395d5b1f46f13dc,
title = "Knowledge sharing in coalitions",
abstract = "![CDATA[The aim of this paper is to investigate the interplay between knowledge shared by a group of agents and its coalition ability. We characterize this relation in the standard context of imperfect information concurrent game. We assume that whenever a set of agents form a coalition to achieve a goal, they share their knowledge before acting. Based on this assumption, we propose a new semantics for alternating-time temporal logic with imperfect information and perfect recall. It turns out this semantics is sufficient to preserve all the desirable properties of coalition ability in traditional coalitional logics. Meanwhile, we also show that the fixed-point characterisations of coalition operators which normally fail in the context of imperfect information can be recovered through the interplay of epistemic and coalition modalities. This work provides a partial answer to the question: which kind of group knowledge is required for a group to achieve their goals in the context of imperfect information.]]",
keywords = "artificial intelligence, multiagent systems",
author = "Guifei Jiang and Dongmo Zhang and Laurent Perrussel",
year = "2015",
doi = "10.1007/978-3-319-26350-2 22",
language = "English",
isbn = "9783319263496",
publisher = "Springer",
pages = "249--262",
booktitle = "AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 - December 4, 2015: Proceedings",
note = "Australasian Joint Conference on Artificial Intelligence ; Conference date: 30-11-2015",
}