Biasing the behavior of organizationally adept agents

Daniel Corkill; Chongjie Zhang; Bruno Da Silva; Yoohneui Kim; Daniel Garant; Victor Lesser; Xiaoqin Zhang

Biasing the behavior of organizationally adept agents

Daniel Corkill
, Chongjie Zhang
, Bruno Da Silva
, Yoohneui Kim
, Daniel Garant
, Victor Lesser
, Xiaoqin Zhang

Department of Computer Science & Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

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.

Original language	English
Pages	1309-1310
Number of pages	2
State	Published - 2013
Event	12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, United States Duration: May 6 2013 → May 10 2013

Conference

Conference	12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013
Country/Territory	United States
City	Saint Paul, MN
Period	05/6/13 → 05/10/13

Keywords

Agent reasoning architecture
Multiagent organizations
Organizational control and adaptation

Cite this

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title = "Biasing the behavior of organizationally adept agents",

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 = "Agent reasoning architecture, Multiagent organizations, Organizational control and adaptation",

author = "Daniel Corkill and Chongjie Zhang and \{Da Silva\}, Bruno and Yoohneui Kim and Daniel Garant and Victor Lesser and Xiaoqin Zhang",

year = "2013",

language = "English",

pages = "1309--1310",

note = "12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 ; Conference date: 06-05-2013 Through 10-05-2013",

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TY - CONF

T1 - Biasing the behavior of organizationally adept agents

AU - Corkill, Daniel

AU - Zhang, Chongjie

AU - Da Silva, Bruno

AU - Kim, Yoohneui

AU - Garant, Daniel

AU - Lesser, Victor

AU - Zhang, Xiaoqin

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Agent reasoning architecture

KW - Multiagent organizations

KW - Organizational control and adaptation

UR - https://www.scopus.com/pages/publications/84899426009

M3 - Paper

AN - SCOPUS:84899426009

SP - 1309

EP - 1310

T2 - 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013

Y2 - 6 May 2013 through 10 May 2013

ER -

Biasing the behavior of organizationally adept agents

Abstract

Conference

Keywords

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Cite this