Automated Aiding Strategies for Decentralized Planning with Interdependent Policies - Robotics Institute Carnegie Mellon University

Automated Aiding Strategies for Decentralized Planning with Interdependent Policies

Martin Kollingbaum, Joseph Andrew Giampapa, Katia Sycara, Timothy J. Norman, Christopher Burnett, and Daniele Masato
Conference Paper, Proceedings of 8th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '09), Vol. 2, pp. 1313 - 1314, May, 2009

Abstract

We discuss how agents can support collaborative planning activities within coalitions, where coalition partners plan and act according to given policies. In a set of experiments with human test subjects, we investigate how agents can aid such a collaborative planning effort and how effective they are in the chosen support modes.

Notes
Research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001.

BibTeX

@conference{Kollingbaum-2009-10205,
author = {Martin Kollingbaum and Joseph Andrew Giampapa and Katia Sycara and Timothy J. Norman and Christopher Burnett and Daniele Masato},
title = {Automated Aiding Strategies for Decentralized Planning with Interdependent Policies},
booktitle = {Proceedings of 8th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '09)},
year = {2009},
month = {May},
editor = {Decker, Sichman, Sierra and Castelfranchi},
volume = {2},
pages = {1313 - 1314},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
address = {www.ifaamas.org},
keywords = {agent aiding strategies, decentralized planning, interdependent policies},
}