Citation:
Amir, Ofra, Barbara Grosz, and Krzysztof Gajos. 2016. “MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork.” AAAI 2016 Student Abstracts.
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.