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|
|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
|Name||Proceedings of the 2nd Artificial Intelligence Planning Systems Conference, AIPS 1994|
|Conference||2nd International Conference on Artificial Intelligence Planning Systems, AIPS 1994|
|Period||13/06/94 → 15/06/94|
Bibliographical noteFunding 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.
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