Adjustable autonomy challenges in personal assistant agents: a position paper

Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen Myers

Research output: Chapter in Book/Report/Conference proceedingChapter

13 Citations (Scopus)

Abstract

The successful integration and acceptance of many multiagent 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.
Original languageEnglish
Title of host publicationAgents and Computational Autonomy
Subtitle of host publicationPotential, Risks, and Solutions
EditorsM Nickles, M Rovatsos, G Weiss
Place of PublicationBerlin, Germany
PublisherSpringer
Pages187-194
Number of pages8
ISBN (Print)9783540224778
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science
Volume2969

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