A Composite Agent Architecture for Multi-Agent Simulations
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The MOVES Institute’s Computer-Generated Autonomy Group has focused on a research goal of modeling complex and adaptive behavior while at the same time making the behavior easier to create and control. This research has led to several techniques for agent construction, that includes a social and organization relationship management engine, a composite agent architecture, an agent goal apparatus, a structure for capturing and applying procedural knowledge (tickets), and the ability to bring these technologies to bear at the right time and in the proper context through connectors. This paper provides an overview of the architecture and discusses the implementation of this architecture in a multi-agent simulation of the information assurance domain.
CGF Computer Generated Forces and Behavioral Representation
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