Rational multiagent organization and reorganization

Wayne A. Smith · National Conference on Artificial Intelligence · 1998

This research agenda has as its goal to apply principles from decision theory and organization theory to the problem of multiagent organization and reorganization. The result is a rational, dynamic multiagent architecture designed to address the following issues: • Choosing the appropriate organizational structure (design from scratch); • Choosing the appropriate reorganization (redesign); • Adding, losing and moving agents within an organization; and • Handling node and link failures that lead to agents becoming unavailable to the rest of the organization. The architecture will be experimentally validated with different organization sizes ranging from four to fifty agents. These experiments will determine how well a dynamic organization fares versus a static one with respect to solution quality and response time. The unique aspect of this approach to multiagent organization is the multi-stage, multi-tier representation of reorganization. Like the TAEMS approach (Decker and Lesser 1993), this architecture is designed to organize itself based on attributes of the task-environment. However the model of tasks, resources and environmental constraints includes more factors that predict the best organization. Like (So and Durfee 1994), this solution also considers multiple possible organizations before choosing the best for a given situation. This architecture will choose the best organization based on the maximum expected utility. Like the self-designing architecture of (Gasser and Ishida 1991), this design localizes reorganizations when appropriate based on constraints of resource allocations. However this approach will utilize more complex models of the resources and tasks at varying levels of granularity. Thus reorganization becomes an iterative problem in which high-level, approximate decisions are made concerning initial, coarse allocations of tasks and resources and each subset then organizes itself as an independent problem. At this stage of the investigation, we have identified four core components of the architecture:

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