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.
Cite
Text
Amir et al. "MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9946Markdown
[Amir et al. "MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/amir2016aaai-mip/) doi:10.1609/AAAI.V30I1.9946BibTeX
@inproceedings{amir2016aaai-mip,
title = {{MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork}},
author = {Amir, Ofra and Grosz, Barbara J. and Gajos, Krzysztof Z.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2016},
pages = {4192-4193},
doi = {10.1609/AAAI.V30I1.9946},
url = {https://mlanthology.org/aaai/2016/amir2016aaai-mip/}
}