A capabilities-based model for adaptive organizations |
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Authors: | Scott A DeLoach Walamitien H Oyenan Eric T Matson |
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Affiliation: | (1) Department of Computing & Information Sciences, Kansas State University, 234 Nichols Hall, Manhattan, KS 66506, USA;(2) Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA |
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Abstract: | 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 Computational Systems. This model defines the requisite knowledge of a system’s organizational structure and
capabilities that will allow it to reorganize at runtime and enable it to achieve its goals effectively in the face of a changing
environment and its agent’s capabilities. |
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Keywords: | Adaptation Organizations Metamodel Self-organization |
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