Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper
Publication Type
Book Chapter
Publication Date
2006
Abstract
The successful integration and acceptance of many multi-agent systems into daily lives crucially depends on the ability to develop effective policies for adjustable autonomy. Adjustable autonomy encompasses the strategies by which an agent selects the appropriate entity (itself, a human user, or another agent) to make a decision at key moments when an action is required. We present two formulations that address this issue: user-based and agent-based autonomy. Furthermore, we discuss the current and future implications on systems composed of personal assistant agents, where autonomy issues are of vital interest.
Discipline
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Publication
Agents and Computational Autonomy: Potential, Risks, and Solutions
Editor
Nickles, Matthias; Rovatsos, Michael; Weiss, Gerhard
First Page
187
Last Page
194
ISBN
9783540259282
Identifier
10.1007/978-3-540-25928-2_15
Publisher
Springer Verlag
City or Country
Berlin
Citation
MAHESWARAN, Rajiv; Tambe, Milind; Varakantham, Pradeep; and Myers, Karen.
Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper. (2006). Agents and Computational Autonomy: Potential, Risks, and Solutions. 187-194.
Available at: https://ink.library.smu.edu.sg/sis_research/853
Additional URL
http://dx.doi.org/10.1007/978-3-540-25928-2_15