Publication - Biasing the Behavior of Organizationally Adept Agents (Extended Abstract)

Authors: Corkill, Daniel; Zhang, Chongjie; da Silva, Bruno; Kim, Yoonheui; Garant, Daniel; Lesser, Victor; Zhang, Xiaoqin
Title: Biasing the Behavior of Organizationally Adept Agents (Extended Abstract)
Abstract: An organizationally adept agent (OAA) adjusts its behavior when given annotated organizational guidelines. More importantly, it can also determine when such guidelines become ineffective and proactively adapt its behavior to better achieve organizational objectives. We present the high-level aspects of this architecture and analyze its effectiveness using call-center OAAs striving to extinguish fires in RoboCup Rescue scenarios.
Keywords: Distributed AI, Multi-Agent Systems, Organizational Control
Publication: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, pp. 1309 - 1310
Editor: Ito, Jonker, Gini, and Shehory
Location: St. Paul, MN
Publisher: IFAAMAS
Date: 2013
Sources: PDF: /Documents/corkill_aamas13_ex-ab.pdf
Reference: Corkill, Daniel; Zhang, Chongjie; da Silva, Bruno; Kim, Yoonheui; Garant, Daniel; Lesser, Victor; Zhang, Xiaoqin. Biasing the Behavior of Organizationally Adept Agents (Extended Abstract). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, Ito, Jonker, Gini, and Shehory, ed., IFAAMAS, pp. 1309-1310. 2013.
bibtex: 
@inproceedings{Corkill-519,
  author    = "Daniel Corkill and Chongjie Zhang and Bruno da
               Silva and Yoonheui Kim and Daniel Garant and
               Victor Lesser and Xiaoqin Zhang",
  title     = "{Biasing the Behavior of Organizationally Adept
               Agents (Extended Abstract)}",
  booktitle = "Proceedings of the 12th International Conference
               on Autonomous Agents and Multiagent Systems",
  editor    = "Jonker Ito and Shehory Gini",
  publisher = "IFAAMAS",
  pages     = "1309-1310",
  year      = "2013",
  address   = "St. Paul, MN",
  url       = "http://mas.cs.umass.edu/paper/519",
}