Plan Execution Motivation in Multi-Agent Systems

Eithan Ephrati, Motty Perry, Jeffrey S. Rosenschein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper we analyze a particular model of control among intelligent agents, that of non-absolute control. Non-absolute control involves a "supervisor" agent that issues orders to a group of "subordinate" agents. An example might be an Internet user who issues a query to a group of software agents on remote hosts, or a human agent on Earth directing the activities of Mars-based semi-autonomous vehicles. The members of the subordinate group are assumed to be self-motivated, and individually rational (i.e., they are basically willing to carry out the supervisor's request if properly compensated). This assumption gives rise to the need for a reward policy that would motivate each agent to contribute to the group activity. In this paper we introduce such a policy under certain simplifying assumptions.

Original languageAmerican English
Title of host publicationProceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994
PublisherAAAI Press
Pages37-42
Number of pages6
ISBN (Electronic)0929280563, 9780929280561
StatePublished - 1994
Event2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994 - Chicago, United States
Duration: 13 Jun 199415 Jun 1994

Publication series

NameProceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994

Conference

Conference2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994
Country/TerritoryUnited States
CityChicago
Period13/06/9415/06/94

Bibliographical note

Publisher Copyright:
Copyright © 1994, AAAI (www.aaai.org). All rights reserved.

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