A capabilities-based model for adaptive organizations

Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more robust and, in many cases, more efficient than single monolithic applications. However, unpredictable application environments make multiagent systems susceptible to individual failures that can significantly reduce its ability to accomplish its overall goal. The problem is that multiagent systems are typically designed to work within a limited set of configurations. Even when the system possesses the resources and computational power to accomplish its goal, it may be constrained by its own structure and knowledge of its member's capabilities. To overcome these problems, we are developing a framework that allows the system to design its own organization at runtime. This paper presents a key component of that framework, a metamodel for multiagent organizations named the Organization Model for Adaptive Comp...

• Type: Journal
• Year: 2008
• Where: AAMAS
• Authors: Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Matson
• Keywords: AAMAS 2008, Intelligent Agents, Multiagent Systems, Single Monolithic Applications, Unpredictable Application Environments