Shifting matrix management a model for multi-agent cooperation

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Abstract
Shifting matrix management (SMM) is a model of agent coordination inspired by Mintzberg’s model of organizational structures.
Mintzberg’s model permits many temporary lines of authority, reflecting the multiple and shifting functions of a flexible workforce.
In order to apply these ideas to agent cooperation, a six-stage framework has been devised. The resulting model has been
compared with two standard models: Contract Nets and Cooperative Problem-Solving. All three models have been implemented
by means of an in-house blackboard system, Algorithmic and Rule-based Blackboard System (ARBS). ‘Disembodied’ agents have
been constructed whose components are spread between system modules, known as knowledge sources, and private partitions
of the blackboard. Tests have been carried out in which the three models have been applied to a set of tasks involving the
control of two robots. Within the narrow context of these tests, the SMM model out-performs the other two approaches in
terms of its task completion rate, number of tasks completed, and avoidance of wasted efforts. It is argued that although the
SMM model expends more time reasoning about its actions, this is likely to be more than offset by the resultant efficient use of
resources.
r 2003 Elsevier Ltd. All rights reserved.
Keywords: ARBS; Agent; Blackboardsystem; Contract Nets; Cooperative Problem-Solving (CPS); Disembodied agents; Distributed artificial
intelligence; Shifting Matrix Management (SMM)

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