Plan Execution Motivation in Multi-Agent Systems

Eithan Ephrati; Motty Perry; Jeffrey S. Rosenschein

Plan Execution Motivation in Multi-Agent Systems

Eithan Ephrati, Motty Perry, Jeffrey S. Rosenschein

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	American English
Title of host publication	Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994
Publisher	AAAI Press
Pages	37-42
Number of pages	6
ISBN (Electronic)	0929280563, 9780929280561
State	Published - 1994
Event	2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994 - Chicago, United States Duration: 13 Jun 1994 → 15 Jun 1994

Publication series

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

Conference

Conference	2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994
Country/Territory	United States
City	Chicago
Period	13/06/94 → 15/06/94

Bibliographical note

Funding Information:
This work has been partially supported by the Air Force Office of Scientific Research (Contract F49620-92-J-0422), by the Rome Laboratory (RL) of the Air Force Material Command and the Defense Advanced Research Projects Agency (Contract F30602-93-C-0038), and by an NSF Young Investigator's Award (IRI-9258392) to Prof. Martha Pollack.

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

Cite this

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title = "Plan Execution Motivation in Multi-Agent Systems",

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.",

author = "Eithan Ephrati and Motty Perry and Rosenschein, {Jeffrey S.}",

note = "Funding Information: This work has been partially supported by the Air Force Office of Scientific Research (Contract F49620-92-J-0422), by the Rome Laboratory (RL) of the Air Force Material Command and the Defense Advanced Research Projects Agency (Contract F30602-93-C-0038), and by an NSF Young Investigator's Award (IRI-9258392) to Prof. Martha Pollack. Publisher Copyright: Copyright {\textcopyright} 1994, AAAI (www.aaai.org). All rights reserved.; 2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994 ; Conference date: 13-06-1994 Through 15-06-1994",

year = "1994",

language = "American English",

series = "Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994",

publisher = "AAAI Press",

pages = "37--42",

booktitle = "Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994",

}

Ephrati, E, Perry, M & Rosenschein, JS 1994, Plan Execution Motivation in Multi-Agent Systems. in Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994. Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994, AAAI Press, pp. 37-42, 2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994, Chicago, United States, 13/06/94.

Plan Execution Motivation in Multi-Agent Systems. / Ephrati, Eithan; Perry, Motty; Rosenschein, Jeffrey S.
Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994. AAAI Press, 1994. p. 37-42 (Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Perry, Motty

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N1 - Funding Information: This work has been partially supported by the Air Force Office of Scientific Research (Contract F49620-92-J-0422), by the Rome Laboratory (RL) of the Air Force Material Command and the Defense Advanced Research Projects Agency (Contract F30602-93-C-0038), and by an NSF Young Investigator's Award (IRI-9258392) to Prof. Martha Pollack. Publisher Copyright: Copyright © 1994, AAAI (www.aaai.org). All rights reserved.

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N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0004021624

T3 - Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994

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BT - Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994

PB - AAAI Press

T2 - 2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994

Y2 - 13 June 1994 through 15 June 1994

ER -

Plan Execution Motivation in Multi-Agent Systems

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