@inproceedings{1436df7c66f44902bdb2d902fdacfd33,
title = "MIP-Nets: Enabling information sharing in loosely-coupled teamwork",
abstract = "People collaborate in carrying out such complex activities as treating patients, co-Authoring documents and developing software. While technologies such as Dropbox and Github enable groups to work in a distributed manner, coordinating team members' individual activities poses significant challenges. In this paper, we formalize the problem of {"}information sharing in loosely-coupled extended-duration teamwork{"}. We develop a new representation, Mutual Influence Potential Networks (MIP-Nets), to model collaboration patterns and dependencies among activities, and an algorithm, MIP-DOI, that uses this representation to reason about information sharing.",
author = "Ofra Amir and Grosz, {Barbara J.} and Gajos, {Krzysztof Z.}",
note = "Publisher Copyright: {\textcopyright} 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 30th AAAI Conference on Artificial Intelligence, AAAI 2016 ; Conference date: 12-02-2016 Through 17-02-2016",
year = "2016",
language = "الإنجليزيّة",
series = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",
pages = "4192--4193",
booktitle = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",
}