Plan Execution Motivation in Multi-Agent Systems

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.