Quantitative Organizational Models for Large-Scale Agent Systems

Abstract. As the scale and scope of multi-agent systems grow, it becomes increasingly important to design and manage the manner in which the participants interact. The potential for bottlenecks, intractably large sets of coordination partners, and shared bounded resources can make individual and high-level goals difficult to achieve. To address these problems, many large systems employ an additional layer of structuring, known as an organizational design, that assigns agents particular and different roles, responsibilities and peers. These additional constraints allow agents to operate effectively within a large-scale system, with little or no sacrifice in utility. Different designs applied to the same problem will have different performance characteristics, therefore it is important to understand and model the behavior of candidate designs. In this paper, we will introduce a domain-independent organizational design representation capable of modeling and predicting the quantitative p...

• Type: Conference
• Year: 2004
• Where: MMAS
• Authors: Bryan Horling, Victor R. Lesser
• Keywords: Artificial Intelligence, Constraints Allow Agents, MMAS 2004, Organizational Design, Performance Characteristics